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A survey of itemset mining
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/widm.1086openalex-snapshot
Incremental association rule mining: a survey
inferredcites →https://doi.org/10.1007/11430919_13openalex-snapshot
Finding Sporadic Rules Using Apriori-Inverse
inferredcites →https://doi.org/10.1007/11430919_15openalex-snapshot
Pushing Tougher Constraints in Frequent Pattern Mining
inferredcites →https://doi.org/10.1007/11430919_79openalex-snapshot
A Two-Phase Algorithm for Fast Discovery of High Utility Itemsets
inferredcites →https://doi.org/10.1007/3-540-49257-7_25openalex-snapshot
Discovering Frequent Closed Itemsets for Association Rules
inferredcites →https://doi.org/10.1007/978-3-319-06608-0_3openalex-snapshot
Efficiently Depth-First Minimal Pattern Mining
inferredcites →https://doi.org/10.1007/978-3-319-06608-0_4openalex-snapshot
Fast Vertical Mining of Sequential Patterns Using Co-occurrence Information
inferredcites →https://doi.org/10.1007/978-3-319-08326-1_9openalex-snapshot
FHM: Faster High-Utility Itemset Mining Using Estimated Utility Co-occurrence Pruning
inferredcites →https://doi.org/10.1007/978-3-319-10160-6_11openalex-snapshot
BLIMP: A Compact Tree Structure for Uncertain Frequent Pattern Mining
inferredcites →https://doi.org/10.1007/978-3-319-12571-8_10openalex-snapshot
ERMiner: Sequential Rule Mining Using Equivalence Classes
inferredcites →https://doi.org/10.1007/978-3-319-14717-8_3openalex-snapshot
Novel Concise Representations of High Utility Itemsets Using Generator Patterns
inferredcites →https://doi.org/10.1007/978-3-319-18032-8_51openalex-snapshot
Mining High Utility Itemsets in Big Data
inferredcites →https://doi.org/10.1007/978-3-319-27060-9_44openalex-snapshot
EFIM: A Highly Efficient Algorithm for High-Utility Itemset Mining
inferredcites →https://doi.org/10.1007/978-3-319-32034-2_5openalex-snapshot
Mining Correlated High-Utility Itemsets Using the Bond Measure
inferredcites →https://doi.org/10.1007/978-3-319-41561-1_6openalex-snapshot
PHM: Mining Periodic High-Utility Itemsets
inferredcites →https://doi.org/10.1007/978-3-319-57529-2_47openalex-snapshot
Discovering Periodic Patterns in Non-uniform Temporal Databases
inferredcites →https://doi.org/10.1007/978-3-540-24571-1_38openalex-snapshot
An Efficient Approach for Maintaining Association Rules Based on Adjusting FP-Tree Structures
inferredcites →https://doi.org/10.1007/978-3-540-44918-8_3openalex-snapshot
Association Rule Interestingness Measures: Experimental and Theoretical Studies
inferredcites →https://doi.org/10.1007/978-3-540-71701-0_8openalex-snapshot
Mining Frequent Itemsets from Uncertain Data
inferredcites →https://doi.org/10.1007/978-3-642-01307-2_24openalex-snapshot
Discovering Periodic-Frequent Patterns in Transactional Databases
inferredcites →https://doi.org/10.1007/978-3-642-30353-1_6openalex-snapshot
Mining Top-K Association Rules
inferredcites →https://doi.org/10.1007/978-3-642-33718-5_16openalex-snapshot
Effective Use of Frequent Itemset Mining for Image Classification
inferredcites →https://doi.org/10.1007/978-3-642-40683-6_12openalex-snapshot
Spatial Itemset Mining: A Framework to Explore Itemsets in Geographic Space
inferredcites →https://doi.org/10.1007/978-3-642-53917-6_9openalex-snapshot
MEIT: Memory Efficient Itemset Tree for Targeted Association Rule Mining
inferredcites →https://doi.org/10.1007/s00500-013-1214-4openalex-snapshot
Actionable high-coherent-utility fuzzy itemset mining
inferredcites →https://doi.org/10.1007/s00607-013-0282-8openalex-snapshot
Visualizing big network traffic data using frequent pattern mining and hypergraphs
inferredcites →https://doi.org/10.1007/s10115-006-0003-0openalex-snapshot
Catch the moment: maintaining closed frequent itemsets over a data stream sliding window
inferredcites →https://doi.org/10.1007/s10115-006-0032-8openalex-snapshot
CanTree: a canonical-order tree for incremental frequent-pattern mining
inferredcites →https://doi.org/10.1007/s10462-012-9355-xopenalex-snapshot
A survey of emerging patterns for supervised classification
inferredcites →https://doi.org/10.1007/s10472-013-9372-8openalex-snapshot
A fast compound algorithm for mining generators, closed itemsets, and computing links between equivalence classes
inferredcites →https://doi.org/10.1007/s10489-015-0703-9openalex-snapshot
Weighted frequent itemset mining over uncertain databases
inferredcites →https://doi.org/10.1007/s11227-013-0887-xopenalex-snapshot
Accelerating frequent itemset mining on graphics processing units
inferredcites →https://doi.org/10.1007/s13042-014-0252-2openalex-snapshot
Mining frequent itemsets using the N-list and subsume concepts
inferredcites →https://doi.org/10.1016/j.aei.2016.02.003openalex-snapshot
Fast algorithms for mining high-utility itemsets with various discount strategies
inferredcites →https://doi.org/10.1016/j.asoc.2004.03.009openalex-snapshot
A fuzzy AprioriTid mining algorithm with reduced computational time
inferredcites →https://doi.org/10.1016/j.camwa.2012.01.045openalex-snapshot
Max-FISM: Mining (recently) maximal frequent itemsets over data streams using the sliding window model
inferredcites →https://doi.org/10.1016/j.dss.2004.09.007openalex-snapshot
Mining association rules with multiple minimum supports: a new mining algorithm and a support tuning mechanism
inferredcites →https://doi.org/10.1016/j.eswa.2008.03.014openalex-snapshot
The Pre-FUFP algorithm for incremental mining
inferredcites →https://doi.org/10.1016/j.eswa.2010.12.082openalex-snapshot
An effective tree structure for mining high utility itemsets
inferredcites →https://doi.org/10.1016/j.eswa.2012.01.062openalex-snapshot
DBV-Miner: A Dynamic Bit-Vector approach for fast mining frequent closed itemsets
inferredcites →https://doi.org/10.1016/j.eswa.2013.05.007openalex-snapshot
Formal Concept Analysis in knowledge processing: A survey on models and techniques
inferredcites →https://doi.org/10.1016/j.eswa.2013.11.038openalex-snapshot
High utility itemset mining with techniques for reducing overestimated utilities and pruning candidates
inferredcites →https://doi.org/10.1016/j.eswa.2014.12.031openalex-snapshot
EXPEDITE: EXPress closED ITemset Enumeration
inferredcites →https://doi.org/10.1016/j.eswa.2015.03.004openalex-snapshot
PrePost+: An efficient N-lists-based algorithm for mining frequent itemsets via Children–Parent Equivalence pruning
inferredcites →https://doi.org/10.1016/j.ins.2007.03.018openalex-snapshot
Efficient mining of weighted interesting patterns with a strong weight and/or support affinity
inferredcites →https://doi.org/10.1016/j.ins.2014.03.074openalex-snapshot
CP-tree: An adaptive synopsis structure for compressing frequent itemsets over online data streams
inferredcites →https://doi.org/10.1016/j.ipm.2009.09.009openalex-snapshot
Mining fuzzy frequent itemsets for hierarchical document clustering
inferredcites →https://doi.org/10.1016/j.is.2012.01.005openalex-snapshot
Mining frequent itemsets in a stream
inferredcites →https://doi.org/10.1016/j.jcss.2009.05.008openalex-snapshot
Prism: An effective approach for frequent sequence mining via prime-block encoding
inferredcites →https://doi.org/10.1016/j.knosys.2013.10.013openalex-snapshot
Efficient frequent pattern mining based on Linear Prefix tree
inferredcites →https://doi.org/10.1016/j.knosys.2014.12.027openalex-snapshot
Mining closed partially ordered patterns, a new optimized algorithm
inferredcites →https://doi.org/10.1016/j.knosys.2016.04.016openalex-snapshot
An efficient algorithm for mining the top- k high utility itemsets, using novel threshold raising and pruning strategies
inferredcites →https://doi.org/10.1017/s0269888912000331openalex-snapshot
A survey of frequent subgraph mining algorithms
inferredcites →https://doi.org/10.1023/a:1009748302351openalex-snapshot
Discovery of Frequent Episodes in Event Sequences
inferredcites →https://doi.org/10.1023/b:dami.0000005258.31418.83openalex-snapshot
Mining Frequent Patterns without Candidate Generation: A Frequent-Pattern Tree Approach
inferredcites →https://doi.org/10.1023/b:dami.0000023674.74932.4copenalex-snapshot
Pushing Convertible Constraints in Frequent Itemset Mining
inferredcites →https://doi.org/10.1093/bib/bbt074openalex-snapshot
A primer to frequent itemset mining for bioinformatics
inferredcites →https://doi.org/10.1109/18.720554openalex-snapshot
The minimum description length principle in coding and modeling
inferredcites →https://doi.org/10.1109/69.846291openalex-snapshot
Scalable algorithms for association mining
inferredcites →https://doi.org/10.1109/bigdata.2013.6691742openalex-snapshot
Frequent Itemset Mining for Big Data
inferredcites →https://doi.org/10.1109/icc.2015.7249229openalex-snapshot
Detective: Automatically identify and analyze malware processes in forensic scenarios via DLLs
inferredcites →https://doi.org/10.1109/icde.2001.914856openalex-snapshot
Mining frequent itemsets with convertible constraints
inferredcites →https://doi.org/10.1109/icdm.2003.1250944openalex-snapshot
Mining strong affinity association patterns in data sets with skewed support distribution
inferredcites →https://doi.org/10.1109/icdm.2011.100openalex-snapshot
Mining Dominant Patterns in the Sky
inferredcites →https://doi.org/10.1109/ictai.2007.180openalex-snapshot
Knowledge Acquisition from Multimedia Documents Using Evolving Ontologies
inferredcites →https://doi.org/10.1109/ipdpsw.2014.185openalex-snapshot
YAFIM: A Parallel Frequent Itemset Mining Algorithm with Spark
inferredcites →https://doi.org/10.1109/tkde.2003.1161582openalex-snapshot
Alternative interest measures for mining associations in databases
inferredcites →https://doi.org/10.1109/tkde.2003.1245290openalex-snapshot
Itemset trees for targeted association querying
inferredcites →https://doi.org/10.1109/tkde.2004.77openalex-snapshot
Mining sequential patterns by pattern-growth: the PrefixSpan approach
inferredcites →https://doi.org/10.1109/tkde.2006.10openalex-snapshot
Fast and memory efficient mining of frequent closed itemsets
inferredcites →https://doi.org/10.1109/tkde.2006.172openalex-snapshot
Discovering Frequent Closed Partial Orders from Strings
inferredcites →https://doi.org/10.1109/tkde.2013.69openalex-snapshot
Infrequent Weighted Itemset Mining Using Frequent Pattern Growth
inferredcites →https://doi.org/10.1109/tkde.2014.2345408openalex-snapshot
An Iterative MapReduce Based Frequent Subgraph Mining Algorithm
inferredcites →https://doi.org/10.1109/tkde.2015.2405509openalex-snapshot
Mining Partially-Ordered Sequential Rules Common to Multiple Sequences
inferredcites →https://doi.org/10.1109/tkde.2015.2458860openalex-snapshot
Efficient Algorithms for Mining Top-K High Utility Itemsets
inferredcites →https://doi.org/10.1109/tnet.2012.2187306openalex-snapshot
Anomaly Extraction in Backbone Networks Using Association Rules
inferredcites →https://doi.org/10.1109/tpds.2011.307openalex-snapshot
Mining Frequent Trajectory Patterns for Activity Monitoring Using Radio Frequency Tag Arrays
inferredcites →https://doi.org/10.1137/1.9781611972757.76openalex-snapshot
WFIM: Weighted Frequent Itemset Mining with a weight range and a minimum weight
inferredcites →https://doi.org/10.1142/9789812709066openalex-snapshot
Mathematics and Computation in Imaging Science and Information Processing
inferredcites →https://doi.org/10.1145/1132960.1132963openalex-snapshot
Interestingness measures for data mining
inferredcites →https://doi.org/10.1145/1557019.1557039openalex-snapshot
Probabilistic frequent itemset mining in uncertain databases
inferredcites →https://doi.org/10.1145/1824795.1824798openalex-snapshot
A taxonomy of sequential pattern mining algorithms
inferredcites →https://doi.org/10.1145/1951365.1951370openalex-snapshot
Novel techniques to reduce search space in multiple minimum supports-based frequent pattern mining algorithms
inferredcites →https://doi.org/10.1145/2187836.2187863openalex-snapshot
Spotting fake reviewer groups in consumer reviews
inferredcites →https://doi.org/10.1145/2396761.2396773openalex-snapshot
Mining high utility itemsets without candidate generation
inferredcites →https://doi.org/10.1145/2396761.2396775openalex-snapshot
Incorporating occupancy into frequent pattern mining for high quality pattern recommendation
inferredcites →https://doi.org/10.1145/2431211.2431218openalex-snapshot
Sequential pattern mining -- approaches and algorithms
inferredcites →https://doi.org/10.1145/2485278.2485281openalex-snapshot
Scalable frequent itemset mining on many-core processors
inferredcites →https://doi.org/10.1145/312129.312191openalex-snapshot
Efficient mining of emerging patterns
inferredcites →https://doi.org/10.1145/312129.312274openalex-snapshot
Mining association rules with multiple minimum supports
inferredcites →https://doi.org/10.1145/775047.775109openalex-snapshot
Sequential PAttern mining using a bitmap representation
inferredcites →https://doi.org/10.1145/956750.956788openalex-snapshot
Fast vertical mining using diffsets
inferredcites →https://doi.org/10.1145/956750.956807openalex-snapshot
Finding recent frequent itemsets adaptively over online data streams
inferredcites →https://doi.org/10.14778/2095686.2095695openalex-snapshot
Mining flipping correlations from large datasets with taxonomies
inferredcites →https://doi.org/10.14778/2350229.2350277openalex-snapshot
Mining frequent itemsets over uncertain databases
inferredcites →https://doi.org/10.3233/ida-140668openalex-snapshot
Understanding episode mining techniques: Benchmarking on diverse, realistic, artificial data
inferredcites →https://doi.org/10.3233/ida-2009-0370openalex-snapshot
On pushing weight constraints deeply into frequent itemset mining
inferredcites →https://doi.org/10.3233/ifs-151936openalex-snapshot
A fast Algorithm for mining fuzzy frequent itemsets
inferredcites →https://doi.org/10.5860/choice.49-3305openalex-snapshot
Data mining: concepts and techniques
inferredcites →https://doi.org/10.7155/jgaa.00247openalex-snapshot
FP-GraphMiner-A Fast Frequent Pattern Mining Algorithm for Network Graphs
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/9781118445112.stat08016openalex-snapshot
Association Rule Mining
inferred← citeshttps://doi.org/10.1002/cpe.6790openalex-snapshot
Association rule mining based fuzzy manta ray foraging optimization algorithm for frequent itemset generation from social media
inferred← citeshttps://doi.org/10.1002/sam.11458openalex-snapshot
Minimizing information loss in shared data: Hiding frequent patterns with multiple sensitive support thresholds
inferred← citeshttps://doi.org/10.1002/spe.3165openalex-snapshot
Horn rule discovery with batched caching and rule identifier for proficient compressor of knowledge data
inferred← citeshttps://doi.org/10.1002/widm.1242openalex-snapshot
A survey of incremental high‐utility itemset mining
inferred← citeshttps://doi.org/10.1002/widm.1329openalex-snapshot
Frequent itemset mining: A 25 years review
inferred← citeshttps://doi.org/10.1002/widm.1367openalex-snapshot
Temporal association rule mining: An overview considering the time variable as an integral or implied component
inferred← citeshttps://doi.org/10.1002/widm.1372openalex-snapshot
A survey of pattern mining in dynamic graphs
inferred← citeshttps://doi.org/10.1002/widm.1454openalex-snapshot
Subgraph mining in a large graph: A review
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Anonymization of System Logs for Preserving Privacy and Reducing Storage
inferred← citeshttps://doi.org/10.1007/978-3-030-04503-6_25openalex-snapshot
A Novel Algorithm for Frequent Itemsets Mining in Transactional Databases
inferred← citeshttps://doi.org/10.1007/978-3-030-04921-8_1openalex-snapshot
A Survey of High Utility Itemset Mining
inferred← citeshttps://doi.org/10.1007/978-3-030-04921-8_10openalex-snapshot
Metaheuristics for Frequent and High-Utility Itemset Mining
inferred← citeshttps://doi.org/10.1007/978-3-030-04921-8_12openalex-snapshot
Visualization and Visual Analytic Techniques for Patterns
inferred← citeshttps://doi.org/10.1007/978-3-030-04921-8_5openalex-snapshot
Efficient Algorithms for High Utility Itemset Mining Without Candidate Generation
inferred← citeshttps://doi.org/10.1007/978-3-030-04921-8_8openalex-snapshot
A Survey of Privacy Preserving Utility Mining
inferred← citeshttps://doi.org/10.1007/978-3-030-11638-5_4openalex-snapshot
Mining Local Process Models and Their Correlations
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Football Pass Prediction Using Player Locations
inferred← citeshttps://doi.org/10.1007/978-3-030-22999-3_21openalex-snapshot
Discovering Stable Periodic-Frequent Patterns in Transactional Data
inferred← citeshttps://doi.org/10.1007/978-3-030-28374-2_4openalex-snapshot
Frequent Itemsets as Descriptors of Textual Records
inferred← citeshttps://doi.org/10.1007/978-3-030-37188-3_13openalex-snapshot
TKG: Efficient Mining of Top-K Frequent Subgraphs
inferred← citeshttps://doi.org/10.1007/978-3-030-47436-2_8openalex-snapshot
Mining Locally Trending High Utility Itemsets
inferred← citeshttps://doi.org/10.1007/978-3-030-55789-8_73openalex-snapshot
Mining Cross-Level High Utility Itemsets
inferred← citeshttps://doi.org/10.1007/978-3-030-59065-9_8openalex-snapshot
A SAT-Based Approach for Mining High Utility Itemsets from Transaction Databases
inferred← citeshttps://doi.org/10.1007/978-3-030-60939-9_4openalex-snapshot
Data Mining in System-Level Design Space Exploration of Embedded Systems
inferred← citeshttps://doi.org/10.1007/978-3-030-63119-2_65openalex-snapshot
Textual Clustering: Towards a More Efficient Descriptors of Texts
inferred← citeshttps://doi.org/10.1007/978-3-030-73280-6_8openalex-snapshot
An Efficient Approach for Mining High-Utility Itemsets from Multiple Abstraction Levels
inferred← citeshttps://doi.org/10.1007/978-3-030-78230-6_11openalex-snapshot
Towards a Compact SAT-Based Encoding of Itemset Mining Tasks
inferred← citeshttps://doi.org/10.1007/978-3-030-79457-6_43openalex-snapshot
A Transaction Classification Model of Federated Learning
inferred← citeshttps://doi.org/10.1007/978-3-030-88081-1_35openalex-snapshot
Cross-Level High-Utility Itemset Mining Using Multi-core Processing
inferred← citeshttps://doi.org/10.1007/978-3-030-92942-8_9openalex-snapshot
An Improved Algorithm to Protect Sensitive High Utility Itemsets in Transaction Database
inferred← citeshttps://doi.org/10.1007/978-3-030-95408-6_2openalex-snapshot
TKQ: Top-K Quantitative High Utility Itemset Mining
inferred← citeshttps://doi.org/10.1007/978-3-031-20992-5_7openalex-snapshot
LCIM: Mining Low Cost High Utility Itemsets
inferred← citeshttps://doi.org/10.1007/978-3-031-24094-2_15openalex-snapshot
Hui2Vec: Learning Transaction Embedding Through High Utility Itemsets
inferred← citeshttps://doi.org/10.1007/978-3-031-30047-9_17openalex-snapshot
Explanations for Itemset Mining by Constraint Programming: A Case Study Using ChEMBL Data
inferred← citeshttps://doi.org/10.1007/978-3-031-39821-6_34openalex-snapshot
Gaussian Process Component Mining with the Apriori Algorithm
inferred← citeshttps://doi.org/10.1007/978-3-032-01922-6_17openalex-snapshot
Conciseness Effect on High Utility Itemsets Mining
inferred← citeshttps://doi.org/10.1007/978-3-032-04590-4_7openalex-snapshot
On Extracting Legal Arguments
inferred← citeshttps://doi.org/10.1007/978-3-319-54472-4_51openalex-snapshot
Mining Periodic High Utility Sequential Patterns
inferred← citeshttps://doi.org/10.1007/978-3-319-95786-9_21openalex-snapshot
A Novel Parallel Algorithm for Frequent Itemsets Mining in Large Transactional Databases
inferred← citeshttps://doi.org/10.1007/978-3-319-98539-8_18openalex-snapshot
Discovering Periodic Patterns Common to Multiple Sequences
inferred← citeshttps://doi.org/10.1007/978-981-15-2071-6_31openalex-snapshot
Review on High Utility Rare Itemset Mining
inferred← citeshttps://doi.org/10.1007/978-981-16-3964-7_10openalex-snapshot
Hiding Periodic High-Utility Sequential Patterns
inferred← citeshttps://doi.org/10.1007/978-981-16-3964-7_12openalex-snapshot
Privacy Preservation of Periodic Frequent Patterns Using Sensitive Inverse Frequency
inferred← citeshttps://doi.org/10.1007/978-981-16-3964-7_6openalex-snapshot
Finding Periodic Patterns in Multiple Sequences
inferred← citeshttps://doi.org/10.1007/978-981-16-3964-7_8openalex-snapshot
Discovering Periodic High Utility Itemsets in a Discrete Sequence
inferred← citeshttps://doi.org/10.1007/978-981-16-9012-9_17openalex-snapshot
High-Utility Pattern Mining Using ULB-Miner
inferred← citeshttps://doi.org/10.1007/978-981-19-3951-8_11openalex-snapshot
Applying Partition Method to Adopt Spark-Based Eclat Algorithm for Large Transactional Datasets
inferred← citeshttps://doi.org/10.1007/978-981-96-0840-9_1openalex-snapshot
Exploring the Advantages and Limitations of Association Rule Mining and Decision Trees for Pattern Mining in Heart Disease Data
inferred← citeshttps://doi.org/10.1007/978-981-99-5834-4_24openalex-snapshot
Extracting Top-k High Utility Patterns from Multi-level Transaction Databases
inferred← citeshttps://doi.org/10.1007/s00521-020-04822-wopenalex-snapshot
Predicting ground vibration induced by rock blasting using a novel hybrid of neural network and itemset mining
inferred← citeshttps://doi.org/10.1007/s10115-017-1103-8openalex-snapshot
Exploiting highly qualified pattern with frequency and weight occupancy
inferred← citeshttps://doi.org/10.1007/s10115-023-01930-6openalex-snapshot
Concise and interpretable multi-label rule sets
inferred← citeshttps://doi.org/10.1007/s10115-024-02105-7openalex-snapshot
A fuzzy rough set-based horse herd optimization algorithm for map reduce framework for customer behavior data
inferred← citeshttps://doi.org/10.1007/s10115-026-02776-4openalex-snapshot
Extracting interesting CoHUPs from dataset with skewed and non-skewed item’s support distribution
inferred← citeshttps://doi.org/10.1007/s10489-018-1280-5openalex-snapshot
SPPC: a new tree structure for mining erasable patterns in data streams
inferred← citeshttps://doi.org/10.1007/s10489-020-01664-wopenalex-snapshot
A general-purpose distributed pattern mining system
inferred← citeshttps://doi.org/10.1007/s10489-020-01677-5openalex-snapshot
k-PbC: an improved cluster center initialization for categorical data clustering
inferred← citeshttps://doi.org/10.1007/s10489-020-01899-7openalex-snapshot
Mining frequent weighted closed itemsets using the WN-list structure and an early pruning strategy
inferred← citeshttps://doi.org/10.1007/s10489-020-02181-6openalex-snapshot
TSPIN: mining top-k stable periodic patterns
inferred← citeshttps://doi.org/10.1007/s10489-021-02204-wopenalex-snapshot
FHUQI-Miner: Fast high utility quantitative itemset mining
inferred← citeshttps://doi.org/10.1007/s10489-021-02611-zopenalex-snapshot
High average-utility itemsets mining: a survey
inferred← citeshttps://doi.org/10.1007/s10489-022-03808-6openalex-snapshot
Hiding sensitive frequent itemsets by item removal via two-level multi-objective optimization
inferred← citeshttps://doi.org/10.1007/s10489-023-04791-2openalex-snapshot
Fast privacy-preserving utility mining algorithm based on utility-list dictionary
inferred← citeshttps://doi.org/10.1007/s10723-020-09526-yopenalex-snapshot
A Review of Supervised Classification based on Contrast Patterns: Applications, Trends, and Challenges
inferred← citeshttps://doi.org/10.1007/s10922-021-09609-5openalex-snapshot
A Federated Learning Approach to Frequent Itemset Mining in Cyber-Physical Systems
inferred← citeshttps://doi.org/10.1007/s11042-019-08361-yopenalex-snapshot
DCE -miner: an association rule mining algorithm for multimedia based on the MapReduce framework
inferred← citeshttps://doi.org/10.1007/s11042-024-19049-3openalex-snapshot
Exploring image data association: A hybrid mining approach
inferred← citeshttps://doi.org/10.1007/s11227-020-03247-5openalex-snapshot
A fast high average-utility itemset mining with efficient tighter upper bounds and novel list structure
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An optimized FP-growth algorithm for discovery of association rules
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Knowledge Mining: A Cross-disciplinary Survey
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An efficient hash map based technique for mining high average utility itemset
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Knowledge discovery in weather forecasting: mining fuzzy image association rules with fine-tuned CNN and fuzzy HIFP algorithm
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SeRViz: a visual analytics system for the analysis of sequential rules and its application to airport ground handling operations
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Rhythmus periodic frequent pattern mining without periodicity threshold
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CL-MAX: a clustering-based approximation algorithm for mining maximal frequent itemsets
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High Occupancy Itemset Mining with Consideration of Transaction Occupancy
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Efficiently Updating the Discovered Multiple Fuzzy Frequent Itemsets with Transaction Insertion
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Efficient mining of intra-periodic frequent sequences
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IECT: A methodology for identifying critical products using purchase transactions
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A novel framework for prognostic factors identification of malignant mesothelioma through association rule mining
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A mechanism for biasing the appraisal process in affective agents
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Discovering rare correlated periodic patterns in multiple sequences
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Mining Closed High Utility Itemsets based on Propositional Satisfiability
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High average-utility itemset mining with multiple minimum utility threshold: A generalized approach
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Effective algorithms to mine skyline frequent-utility itemsets
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Cluster analysis of PM2.5 pollution in China using the frequent itemset clustering approach
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DEER : Distant and Essential Episode Rules for early prediction
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An ensemble-based approach to the security-oriented classification of low-level log traces
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Succinct contrast sets via false positive controlling with an application in clinical process redesign
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Discovery of associated consumer demands: Construction of a co-demanded product network with community detection
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Seal imprint verification via feature analysis and classifications
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Factors influencing proactiveness in supply chain risk identification: A fuzzy-set qualitative comparative analysis
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A multi-dimension framework for value creation through Big Data
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GMiner: A fast GPU-based frequent itemset mining method for large-scale data
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Fast and effective cluster-based information retrieval using frequent closed itemsets
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Mining diversified association rules in big datasets: A cluster/GPU/genetic approach
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Mining local and peak high utility itemsets
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Efficient algorithms to identify periodic patterns in multiple sequences
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Mining local periodic patterns in a discrete sequence
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A guided FP-Growth algorithm for mining multitude-targeted item-sets and class association rules in imbalanced data
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Efficient mining of cross-level high-utility itemsets in taxonomy quantitative databases
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Parallel incremental association rule mining framework for public opinion analysis
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Data heterogeneity's impact on the performance of frequent itemset mining algorithms
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Rare yet critical: Algorithms for privacy preserving rare itemset mining
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On the discovery of seasonal gradual patterns through periodic patterns mining
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Data-driven comparative analysis of national adaptation pathways for Sustainable Development Goals
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A review on big data based parallel and distributed approaches of pattern mining
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Extracting non-redundant correlated purchase behaviors by utility measure
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LTARM: A novel temporal association rule mining method to understand toxicities in a routine cancer treatment
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Mining significant trend sequences in dynamic attributed graphs
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Mining cost-effective patterns in event logs
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Con2Vec: Learning embedding representations for contrast sets
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On the complexity of redescription mining
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Improved adaptive-phase fuzzy high utility pattern mining algorithm based on tree-list structure for intelligent decision systems
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Exploring the predictive factors of heart disease using rare association rule mining
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H-Map-Based Technique for Mining High Average Utility Itemset
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Multi-objective parallel robotic dispensing planogram optimisation using association rule mining and evolutionary algorithms
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Effective algorithms for mining frequent-utility itemsets
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An idea based on sequential pattern mining and deep learning for text summarization
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Biclustering data analysis: a comprehensive survey
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Mining Twitter Data on COVID-19 for Sentiment analysis and frequent patterns Discovery
inferred← citeshttps://doi.org/10.1109/access.2020.3010168openalex-snapshot
How Well Do Teachers Predict Students’ Actions in Solving an Ill-Defined Problem in STEM Education: A Solution Using Sequential Pattern Mining
inferred← citeshttps://doi.org/10.1109/access.2020.3010852openalex-snapshot
Extracting User-Centric Knowledge on Two Different Spaces: Concepts and Records
inferred← citeshttps://doi.org/10.1109/access.2020.3012817openalex-snapshot
Mining Productive Itemsets in Dynamic Databases
inferred← citeshttps://doi.org/10.1109/access.2020.3029302openalex-snapshot
Efficient Mining of Frequent Itemsets Using Only One Dynamic Prefix Tree
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Exceptional in so Many Ways—Discovering Descriptors That Display Exceptional Behavior on Contrasting Scenarios
inferred← citeshttps://doi.org/10.1109/access.2021.3056191openalex-snapshot
Identification of Changes in VLE Stakeholders’ Behavior Over Time Using Frequent Patterns Mining
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A Survey of Correlated High Utility Pattern Mining
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Generic Itemset Mining Based on Reinforcement Learning
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Mining Interesting Negative Sequential Patterns Based on Influence
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SDFP-Growth Algorithm as a Novelty of Association Rule Mining Optimization
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Pattern Discovery with Utility Occupancy
inferred← citeshttps://doi.org/10.1109/cac53003.2021.9728001openalex-snapshot
A Parallel Association Rule Mining Algorithm Based on Spark and its application
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Discovering Structural Regularities in Time Series via Gaussian Processes
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Assessing Document Clustering Algorithms for Effective Information Retrieval
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Mining on Relationships in Big Data era using Improve Apriori Algorithm with MapReduce Approach
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Significant Itemset Mining with Support-Attractiveness Framework
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An Improved and Accurate Measure for Mining Correlated High-Utility Itemsets
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Highly Efficient Pattern Mining Based on Transaction Decomposition
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Spatial Contextualization for Closed Itemset Mining
inferred← citeshttps://doi.org/10.1109/icdmw.2018.00175openalex-snapshot
Closed Frequent Itemset Mining with Arbitrary Side Constraints
inferred← citeshttps://doi.org/10.1109/icdmw51313.2020.00095openalex-snapshot
TKC: Mining Top-K Cross-Level High Utility Itemsets
inferred← citeshttps://doi.org/10.1109/icdmw51313.2020.00097openalex-snapshot
Efficient Mining of Non-Dominated High Quantity-Utility Patterns
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CHUQI-Miner: Mining Correlated Quantitative High Utility Itemsets
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Research on Weighted Association Rules Mining Algorithm for Big Data
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Spatial-Temporal Networks for Antibiogram Pattern Prediction
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The Evolution of Pattern Mining: From Frequent to High-Utility to High-Efficiency Patterns
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Extracting Frequent (Closed) Seasonal Gradual Patterns Using Closed Itemset Mining
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Stability of Low-Cost High-Utility Patterns Under Uncertain Cost Assignments
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Status and Challenges of Frequent Itemsets and Association Rules Mining Methods
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Cumulative Summary List Driven Lightweight Frequent Closed High Utility Itemset Mining
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Utility-Driven Data Analytics on Uncertain Data
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Frequent Itemsets Mining with Chemical Reaction Optimization Metaheuristic
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Episode Mining in a Forensic Timeline
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A Behavioral Trust Model for Internet of Healthcare Things Using an Improved FP-Growth Algorithm and Naïve Bayes Classifier
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A Multiple Objective PSO-Based Approach for Data Sanitization
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Targeted High-Utility Itemset Querying
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TUSQ: Targeted High-Utility Sequence Querying
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An Evolutionary Model to Mine High Expected Utility Patterns From Uncertain Databases
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A Survey of Utility-Oriented Pattern Mining
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Anomaly Rule Detection in Sequence Data
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Data Analytic for Healthcare Cyber Physical System
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An Approach for Incremental Mining of Clickstream Patterns as a Service Application
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Mining Treatment-Outcome Constructs from Sequential Software Engineering Data
inferred← citeshttps://doi.org/10.1111/exsy.12551openalex-snapshot
Efficient weighted probabilistic frequent itemset mining in uncertain databases
inferred← citeshttps://doi.org/10.1111/exsy.12881openalex-snapshot
A horizontal partitioning‐based method for frequent pattern mining in transport timetable
inferred← citeshttps://doi.org/10.1111/exsy.13464openalex-snapshot
A SCORPAN‐based data warehouse for digital soil mapping and association rule mining in support of sustainable agriculture and climate change analysis in the Maghreb region
inferred← citeshttps://doi.org/10.1111/itor.12984openalex-snapshot
Pattern mining‐based pruning strategies in stochastic local searches for scheduling problems
inferred← citeshttps://doi.org/10.1142/s1752890925500096openalex-snapshot
Towards a New Method for Extracting Uncertain Data
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A Graph-Based Topic Modeling Approach to Detection of Irrelevant Citations
inferred← citeshttps://doi.org/10.1145/3314107openalex-snapshot
A Survey of Parallel Sequential Pattern Mining
inferred← citeshttps://doi.org/10.1145/3341105.3374120openalex-snapshot
Mining association rules in asymmetric data for territorial evolution modeling
inferred← citeshttps://doi.org/10.1145/3384473openalex-snapshot
Mining the Local Dependency Itemset in a Products Network
inferred← citeshttps://doi.org/10.1145/3423557openalex-snapshot
The Efficient Mining of Skyline Patterns from a Volunteer Computing Network
inferred← citeshttps://doi.org/10.1145/3457570openalex-snapshot
On-Shelf Utility Mining of Sequence Data
inferred← citeshttps://doi.org/10.1145/3465238openalex-snapshot
A Synopsis Based Approach for Itemset Frequency Estimation over Massive Multi-Transaction Stream
inferred← citeshttps://doi.org/10.1145/3472289openalex-snapshot
FPGA/GPU-based Acceleration for Frequent Itemsets Mining: A Comprehensive Review
inferred← citeshttps://doi.org/10.1145/3487553.3524706openalex-snapshot
Discovering Top-k Profitable Patterns for Smart Manufacturing
inferred← citeshttps://doi.org/10.1145/3487664.3487704openalex-snapshot
Stable High Utility Itemset Mining
inferred← citeshttps://doi.org/10.1145/3495165openalex-snapshot
Anomaly Detection in Cybersecurity Datasets via Cooperative Co-evolution-based Feature Selection
inferred← citeshttps://doi.org/10.1145/3511808.3557327openalex-snapshot
Frequent Itemset Mining with Local Differential Privacy
inferred← citeshttps://doi.org/10.1145/3524481.3527238openalex-snapshot
Testing non-testable programs using association rules
inferred← citeshttps://doi.org/10.1145/3579031openalex-snapshot
Visual Analytics of Co-Occurrences to Discover Subspaces in Structured Data
inferred← citeshttps://doi.org/10.1145/3654987openalex-snapshot
Language-Model Based Informed Partition of Databases to Speed Up Pattern Mining
inferred← citeshttps://doi.org/10.1145/3774904.3792157openalex-snapshot
HomeRun: Performing Curveball Trades quasi in Streaming for Fast Null Modeling of Graphs, Hypergraphs, and Binary Matrices
inferred← citeshttps://doi.org/10.1155/2020/7489045openalex-snapshot
An Improved Sanitization Algorithm in Privacy-Preserving Utility Mining
inferred← citeshttps://doi.org/10.1155/2021/7310137openalex-snapshot
Efficient Utility Tree‐Based Algorithm to Mine High Utility Patterns Having Strong Correlation
inferred← citeshttps://doi.org/10.1155/2024/7716976openalex-snapshot
Improvement of Apriori Algorithm Using Parallelization Technique on Multi-CPU and GPU Topology
inferred← citeshttps://doi.org/10.1177/01655515221087663openalex-snapshot
Representation, detection and usage of the content semantics of comments in a social platform
inferred← citeshttps://doi.org/10.1177/27000710251392207openalex-snapshot
Considering Approaches to Pervasiveness in the Context of Personality Psychology
inferred← citeshttps://doi.org/10.1186/s40537-026-01536-zopenalex-snapshot
EPOBPA: Extensible Parallelizable Optimized Buddy Prima Algorithm
inferred← citeshttps://doi.org/10.1371/journal.pone.0351951openalex-snapshot
Best-first search–based approach for mining top-k closed frequent itemsets from uncertain databases
inferred← citeshttps://doi.org/10.14569/ijacsa.2021.0120364openalex-snapshot
Clustering of Association Rules for Big Datasets using Hadoop MapReduce
inferred← citeshttps://doi.org/10.15575/ijik.v12i1.15865openalex-snapshot
Society's Perspectives on Contemporary Islamic Law in Indonesia through Social Media Analysis Technology: A Preliminary Study
inferred← citeshttps://doi.org/10.15598/aeee.v17i1.3185openalex-snapshot
Discovering Periodic Itemsets Using Novel Periodicity Measures
inferred← citeshttps://doi.org/10.21105/joss.05654openalex-snapshot
A Java Library for Itemset Mining with Choco-solver
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