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Unsupervised Rare Pattern Mining

https://doi.org/10.1145/2898359
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/11430919_13openalex-snapshot
Finding Sporadic Rules Using Apriori-Inverse
inferredcites →https://doi.org/10.1007/11731139_55openalex-snapshot
Mining Interesting Imperfectly Sporadic Rules
inferredcites →https://doi.org/10.1007/978-3-319-06605-9_36openalex-snapshot
Detecting Changes in Rare Patterns from Data Streams
inferredcites →https://doi.org/10.1007/978-3-540-48247-5_50openalex-snapshot
Efficient Mining of High Confidence Association Rules without Support Thresholds
inferredcites →https://doi.org/10.1007/978-3-642-12519-5_5openalex-snapshot
WiFi Miner: An Online Apriori-Infrequent Based Wireless Intrusion System
inferredcites →https://doi.org/10.1007/978-3-642-23544-3_21openalex-snapshot
RP-Tree: Rare Pattern Tree Mining
inferredcites →https://doi.org/10.1007/978-3-642-25704-9_9openalex-snapshot
An Efficient Approach to Mine Rare Association Rules Using Maximum Items’ Support Constraints
inferredcites →https://doi.org/10.1007/978-3-642-31552-7_54openalex-snapshot
HURI – A Novel Algorithm for Mining High Utility Rare Itemsets
inferredcites →https://doi.org/10.1007/978-3-642-32584-7_25openalex-snapshot
Rare Pattern Mining on Data Streams
inferredcites →https://doi.org/10.1007/978-3-642-34624-8_7openalex-snapshot
TRARM-RelSup: Targeted Rare Association Rule Mining Using Itemset Trees and the Relative Support Measure
inferredcites →https://doi.org/10.1007/978-81-322-1038-2_17openalex-snapshot
An Efficient Approach on Rare Association Rule Mining
inferredcites →https://doi.org/10.1007/s10707-006-9827-8openalex-snapshot
Mining Co-Location Patterns with Rare Events from Spatial Data Sets
inferredcites →https://doi.org/10.1016/j.eswa.2014.09.053openalex-snapshot
Minimal infrequent pattern based approach for mining outliers in data streams
inferredcites →https://doi.org/10.1016/s0164-1212(02)00128-0openalex-snapshot
Mining association rules on significant rare data using relative support
inferredcites →https://doi.org/10.1023/a:1009895914772openalex-snapshot
Constraint-Based Rule Mining in Large, Dense Databases
inferredcites →https://doi.org/10.1109/69.908981openalex-snapshot
Finding interesting associations without support pruning
inferredcites →https://doi.org/10.1109/icdm.2001.989558openalex-snapshot
LPMiner: an algorithm for finding frequent itemsets using length-decreasing support constraint
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/icdmw.2007.59openalex-snapshot
Extracting Author Meta-Data from Web Using Visual Features
inferredcites →https://doi.org/10.1109/icmla.2007.87openalex-snapshot
Discover the power of social and hidden curriculum to decision making: experiments with enron email and movie newsgroups
inferredcites →https://doi.org/10.1109/ictai.2004.85openalex-snapshot
Mining confident minimal rules with fixed-consequents
inferredcites →https://doi.org/10.1109/ictai.2007.180openalex-snapshot
Knowledge Acquisition from Multimedia Documents Using Evolving Ontologies
inferredcites →https://doi.org/10.1109/isda.2009.55openalex-snapshot
A Fast Algorithm for Mining Rare Itemsets
inferredcites →https://doi.org/10.1109/tkde.2003.1198396openalex-snapshot
Pushing support constraints into association rules mining
inferredcites →https://doi.org/10.1109/tkde.2012.28openalex-snapshot
A Method for Mining Infrequent Causal Associations and Its Application in Finding Adverse Drug Reaction Signal Pairs
inferredcites →https://doi.org/10.1137/1.9781611973440.61openalex-snapshot
Discovery of Rare Sequential Topic Patterns in Document Stream
inferredcites →https://doi.org/10.1145/1007730.1007734openalex-snapshot
Mining with rarity
inferredcites →https://doi.org/10.1145/1121995.1121998openalex-snapshot
Research issues in data stream association rule mining
inferredcites →https://doi.org/10.1145/1541880.1541882openalex-snapshot
Anomaly detection
inferredcites →https://doi.org/10.1145/1557019.1557030openalex-snapshot
Frequent pattern mining with uncertain data
inferredcites →https://doi.org/10.1145/170035.170072openalex-snapshot
Mining association rules between sets of items in large databases
inferredcites →https://doi.org/10.1145/1809400.1809425openalex-snapshot
Efficient algorithms for the mining of constrained frequent patterns from uncertain data
inferredcites →https://doi.org/10.1145/276304.276307openalex-snapshot
Exploratory mining and pruning optimizations of constrained associations rules
inferredcites →https://doi.org/10.1145/312129.312216openalex-snapshot
Pruning and summarizing the discovered associations
inferredcites →https://doi.org/10.1145/312129.312274openalex-snapshot
Mining association rules with multiple minimum supports
inferredcites →https://doi.org/10.1145/335191.335372openalex-snapshot
Mining frequent patterns without candidate generation
inferredcites →https://doi.org/10.1145/342009.335372openalex-snapshot
Mining frequent patterns without candidate generation
inferredcites →https://doi.org/10.1145/502585.502601openalex-snapshot
Mining confident rules without support requirement
inferredcites →https://doi.org/10.1145/956750.956836openalex-snapshot
Weighted Association Rule Mining using weighted support and significance framework
inferredcites →https://doi.org/10.14778/2350229.2350277openalex-snapshot
Mining frequent itemsets over uncertain databases
inferredcites →https://doi.org/10.3390/sym7031151openalex-snapshot
Multiple Minimum Support-Based Rare Graph Pattern Mining Considering Symmetry Feature-Based Growth Technique and the Differing Importance of Graph Elements
inferredcites →https://doi.org/10.3844/jcssp.2011.394.399openalex-snapshot
Mining Rare Itemset with Automated Support Thresholds
inferredcites →https://doi.org/10.48550/arxiv.1209.3089openalex-snapshot
Pattern Detection with Rare Item-set Mining

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1002/widm.1207openalex-snapshot
A survey of itemset mining
inferred← citeshttps://doi.org/10.1002/widm.1329openalex-snapshot
Frequent itemset mining: A 25 years review
inferred← citeshttps://doi.org/10.1007/978-3-030-34223-4_19openalex-snapshot
LSCMiner: Efficient Low Support Closed Itemsets Mining
inferred← citeshttps://doi.org/10.1007/978-3-030-36617-9_1openalex-snapshot
Efficient Infrequent Pattern Mining Using Negative Itemset Tree
inferred← citeshttps://doi.org/10.1007/978-3-030-73280-6_1openalex-snapshot
Mining Partially-Ordered Episode Rules in an Event Sequence
inferred← citeshttps://doi.org/10.1007/978-3-031-55639-5_9openalex-snapshot
Machine Learning for Big Data Analytics
inferred← citeshttps://doi.org/10.1007/978-3-319-91452-7_58openalex-snapshot
Efficient Infrequent Itemset Mining Using Depth-First and Top-Down Lattice Traversal
inferred← citeshttps://doi.org/10.1007/978-981-16-3964-7_6openalex-snapshot
Finding Periodic Patterns in Multiple Sequences
inferred← citeshttps://doi.org/10.1007/978-981-33-4909-4_43openalex-snapshot
Efficient Mining of Rare Itemsets
inferred← citeshttps://doi.org/10.1007/978-981-96-9650-5_64openalex-snapshot
Association Rule Mining Strategies for Retail Market Analysis
inferred← citeshttps://doi.org/10.1007/s00521-022-07985-wopenalex-snapshot
A modified multi-objective slime mould algorithm with orthogonal learning for numerical association rules 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/s10489-020-01922-xopenalex-snapshot
Cluster-based information retrieval using pattern mining
inferred← citeshttps://doi.org/10.1007/s10489-020-02181-6openalex-snapshot
TSPIN: mining top-k stable periodic patterns
inferred← citeshttps://doi.org/10.1007/s10489-021-02574-1openalex-snapshot
FRI-miner: fuzzy rare itemset mining
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/s10586-017-1080-4openalex-snapshot
Tree-based frequent itemsets mining for analysis of life-satisfaction and loneliness of retired athletes
inferred← citeshttps://doi.org/10.1007/s12559-025-10486-2openalex-snapshot
Quantum-Inspired Multi-Objective Seahorse Optimizer for Predictive Maintenance Analysis Using Numerical Association Rule Mining
inferred← citeshttps://doi.org/10.1007/s12650-019-00609-xopenalex-snapshot
SSRDVis: Interactive visualization for event sequences summarization and rare detection
inferred← citeshttps://doi.org/10.1007/s40747-018-0085-9openalex-snapshot
Rare pattern mining: challenges and future perspectives
inferred← citeshttps://doi.org/10.1007/s40860-017-0035-0openalex-snapshot
Smart secure homes: a survey of smart home technologies that sense, assess, and respond to security threats
inferred← citeshttps://doi.org/10.1007/s41870-020-00427-7openalex-snapshot
A comprehensive survey of data mining
inferred← citeshttps://doi.org/10.1016/j.datak.2019.101733openalex-snapshot
Discovering rare correlated periodic patterns in multiple sequences
inferred← citeshttps://doi.org/10.1016/j.eswa.2017.09.061openalex-snapshot
Development of a new metric to identify rare patterns in association analysis: The case of analyzing diabetes complications
inferred← citeshttps://doi.org/10.1016/j.eswa.2021.114560openalex-snapshot
A novel association rule mining method for the identification of rare functional dependencies in Complex Technical Infrastructures from alarm data
inferred← citeshttps://doi.org/10.1016/j.eswa.2023.122055openalex-snapshot
Colossal Trajectory Mining: A unifying approach to mine behavioral mobility patterns
inferred← citeshttps://doi.org/10.1016/j.future.2022.02.017openalex-snapshot
Mining trading patterns of pyramid schemes from financial time series data
inferred← citeshttps://doi.org/10.1016/j.ins.2020.02.073openalex-snapshot
A survey of evolutionary computation for association rule mining
inferred← citeshttps://doi.org/10.1016/j.ins.2025.122871openalex-snapshot
OSP-Miner: Mining one-off weak-gap strong sequential patterns
inferred← citeshttps://doi.org/10.1038/s41598-021-84869-4openalex-snapshot
Pattern discovery and disentanglement on relational datasets
inferred← citeshttps://doi.org/10.1080/03772063.2020.1838343openalex-snapshot
Mining Frequent Patterns Partially Devoid of Dissociation with Automated MMS Specification Strategy
inferred← citeshttps://doi.org/10.1093/comjnl/bxab164openalex-snapshot
Rare Correlated Coherent Association Rule Mining With CLS-MMS
inferred← citeshttps://doi.org/10.1109/access.2022.3141806openalex-snapshot
Generic Itemset Mining Based on Reinforcement Learning
inferred← citeshttps://doi.org/10.1109/access.2023.3242327openalex-snapshot
Mining Interesting Negative Sequential Patterns Based on Influence
inferred← citeshttps://doi.org/10.1109/bigdata59044.2023.10386702openalex-snapshot
Mining Rare Utility Patterns within Target Items
inferred← citeshttps://doi.org/10.1109/dsaa.2018.00024openalex-snapshot
Towards Efficient Closed Infrequent Itemset Mining Using Bi-Directional Traversing
inferred← citeshttps://doi.org/10.1109/dsc.2019.00042openalex-snapshot
Semi-Random Forest Based on Representative Patterns for Noisy and Non-Stationary Data Stream
inferred← citeshttps://doi.org/10.1109/icacct.2018.8529629openalex-snapshot
A Review on Infrequent (Rare) Pattern Patterns Analysis in Data Mining
inferred← citeshttps://doi.org/10.1109/icbcb.2019.8854639openalex-snapshot
Rare Association Rules Mining of Diabetic Complications Based on Improved Rarity Algorithm
inferred← citeshttps://doi.org/10.1109/tkde.2019.2942594openalex-snapshot
A Survey of Utility-Oriented Pattern Mining
inferred← citeshttps://doi.org/10.1109/tkde.2021.3139086openalex-snapshot
Anomaly Rule Detection in Sequence Data
inferred← citeshttps://doi.org/10.1109/tkde.2023.3241213openalex-snapshot
MCoR-Miner: Maximal Co-Occurrence Nonoverlapping Sequential Rule Mining
inferred← citeshttps://doi.org/10.1109/tkde.2024.3438274openalex-snapshot
OPF-Miner: Order-Preserving Pattern Mining With Forgetting Mechanism for Time Series
inferred← citeshttps://doi.org/10.1109/tnnls.2025.3610948openalex-snapshot
Hard Sample Mining: A New Paradigm of Efficient and Robust Model Training
inferred← citeshttps://doi.org/10.1145/3362070openalex-snapshot
Utility Mining across Multi-Sequences with Individualized Thresholds
inferred← citeshttps://doi.org/10.1145/3487553.3524708openalex-snapshot
Mining with Rarity for Web Intelligence
inferred← citeshttps://doi.org/10.1145/3716390openalex-snapshot
Mining Repetitive Negative Sequential Patterns with Gap Constraints
inferred← citeshttps://doi.org/10.1145/3797071openalex-snapshot
Mining Long Tail Bugs: Identifying Rare and Overlooked Issues in Code
inferred← citeshttps://doi.org/10.14569/ijacsa.2019.0100361openalex-snapshot
Image Retrieval using Visual Phrases
inferred← citeshttps://doi.org/10.1504/ijkedm.2017.10007846openalex-snapshot
Rare Association Rule Mining: A Systematic Review
inferred← citeshttps://doi.org/10.15623/ijret.2014.0308029openalex-snapshot
A COMPREHENSIVE SURVEY ON DATA MINING
inferred← citeshttps://doi.org/10.18178/ijmlc.2021.11.3.1037openalex-snapshot
Modern Applications and Challenges for Rare Itemset Mining
inferred← citeshttps://doi.org/10.32628/cseit2063111openalex-snapshot
Study to Determine Adverse Diseases Pattern using Rare Association Rule Mining
inferred← citeshttps://doi.org/10.3389/fdata.2025.1600267openalex-snapshot
Sliding window based rare partial periodic pattern mining algorithms over temporal data streams
inferred← citeshttps://doi.org/10.3390/a13090219openalex-snapshot
Relaxed Rule-Based Learning for Automated Predictive Maintenance: Proof of Concept
inferred← citeshttps://doi.org/10.48550/arxiv.1710.09052openalex-snapshot
Deep Convolutional Neural Networks for Anomaly Event Classification on Distributed Systems
inferred← citeshttps://doi.org/10.48550/arxiv.2111.15026openalex-snapshot
Anomaly Rule Detection in Sequence Data
inferred← citeshttps://doi.org/10.5120/ijca2018916573openalex-snapshot
A Comprehensive Survey of Pattern Mining: Challenges and Opportunities
inferred← citeshttps://doi.org/10.70675/4ae07837zfa43z4b84z94f3zae9b4980fd7dopenalex-snapshot
Architecture Numérique pour l'identification de failles de sécurité : Application à l'expertise criminalistique
inferred← citeshttps://doi.org/10.70675/4fb85f31za938z49f8za956z6c7b002ab6b5openalex-snapshot
Extraction de motifs fréquents sous contraintes
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