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Data mining in distributed environment: a survey
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Outgoing claims: the papers this work cites, builds on, or argues with.
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A Tree Projection Algorithm for Generation of Frequent Item Sets
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Parallel Sequence Mining on Shared-Memory Machines
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A Survey of Clustering Data Mining Techniques
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Mining algorithms for sequential patterns in parallel : Hash based approach
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A Survey of Distributed Mining of Data Streams
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Big Data Clustering: A Review
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Mining Uncertain Sequential Patterns in Iterative MapReduce
inferredcites →https://doi.org/10.1007/978-3-319-31750-2_2openalex-snapshot
Distributed Sequential Pattern Mining in Large Scale Uncertain Databases
inferredcites →https://doi.org/10.1007/978-3-540-74976-9_54openalex-snapshot
Multi-party, Privacy-Preserving Distributed Data Mining Using a Game Theoretic Framework
inferredcites →https://doi.org/10.1007/978-3-642-01091-0_16openalex-snapshot
Distributed Data Clustering: A Comparative Analysis
inferredcites →https://doi.org/10.1007/978-3-642-03644-6_27openalex-snapshot
MapReduce-Based Pattern Finding Algorithm Applied in Motif Detection for Prescription Compatibility Network
inferredcites →https://doi.org/10.1007/978-3-642-10665-1_71openalex-snapshot
Parallel K-Means Clustering Based on MapReduce
inferredcites →https://doi.org/10.1007/bfb0014140openalex-snapshot
Mining sequential patterns: Generalizations and performance improvements
inferredcites →https://doi.org/10.1007/bfb0020217openalex-snapshot
Kernel principal component analysis
inferredcites →https://doi.org/10.1007/s00446-011-0143-7openalex-snapshot
Distributed data clustering in sensor networks
inferredcites →https://doi.org/10.1007/s00607-015-0457-6openalex-snapshot
A fast and distributed algorithm for mining frequent patterns in congested networks
inferredcites →https://doi.org/10.1007/s10115-002-8191-8openalex-snapshot
Distributed Mining of Classification Rules
inferredcites →https://doi.org/10.1007/s10115-011-0395-3openalex-snapshot
Privacy-preserving hybrid collaborative filtering on cross distributed data
inferredcites →https://doi.org/10.1007/s10115-012-0602-xopenalex-snapshot
DFSP: a Depth-First SPelling algorithm for sequential pattern mining of biological sequences
inferredcites →https://doi.org/10.1007/s10115-016-0931-2openalex-snapshot
A highly scalable parallel algorithm for maximally informative k-itemset mining
inferredcites →https://doi.org/10.1007/s10586-015-0477-1openalex-snapshot
A distributed frequent itemset mining algorithm using Spark for Big Data analytics
inferredcites →https://doi.org/10.1007/s10618-016-0466-xopenalex-snapshot
A distributed approach for graph mining in massive networks
inferredcites →https://doi.org/10.1007/s10799-012-0124-yopenalex-snapshot
Distributed data mining: a survey
inferredcites →https://doi.org/10.1007/s11227-006-5210-7openalex-snapshot
Distributed Mining of Maximal Frequent Itemsets on a Data Grid System
inferredcites →https://doi.org/10.1007/s11227-014-1225-7openalex-snapshot
Optimized big data K-means clustering using MapReduce
inferredcites →https://doi.org/10.1007/s13174-011-0043-xopenalex-snapshot
Challenges in very large distributed systems
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Principal component analysis
inferredcites →https://doi.org/10.1016/j.asoc.2015.06.060openalex-snapshot
Privacy preserving sub-feature selection in distributed data mining
inferredcites →https://doi.org/10.1016/j.datak.2015.04.006openalex-snapshot
Fast updated frequent-itemset lattice for transaction deletion
inferredcites →https://doi.org/10.1016/j.engappai.2005.06.004openalex-snapshot
Distributed data mining and agents
inferredcites →https://doi.org/10.1016/j.engappai.2015.06.009openalex-snapshot
RWFIM: Recent weighted-frequent itemsets mining
inferredcites →https://doi.org/10.1016/j.eswa.2009.02.029openalex-snapshot
An effective mining approach for up-to-date patterns
inferredcites →https://doi.org/10.1016/j.eswa.2009.07.074openalex-snapshot
A load-balanced distributed parallel mining algorithm
inferredcites →https://doi.org/10.1016/j.eswa.2012.08.065openalex-snapshot
A new method for mining Frequent Weighted Itemsets based on WIT-trees
inferredcites →https://doi.org/10.1016/j.future.2006.04.010openalex-snapshot
Distributed data mining in grid computing environments
inferredcites →https://doi.org/10.1016/j.ins.2006.08.010openalex-snapshot
Privacy-preserving algorithms for distributed mining of frequent itemsets
inferredcites →https://doi.org/10.1016/j.ins.2011.07.003openalex-snapshot
Privacy-preserving disjunctive normal form operations on distributed sets
inferredcites →https://doi.org/10.1016/j.ins.2015.04.016openalex-snapshot
Fast graph mining with HBase
inferredcites →https://doi.org/10.1016/j.knosys.2011.07.005openalex-snapshot
CMRules: Mining sequential rules common to several sequences
inferredcites →https://doi.org/10.1016/j.knosys.2012.02.013openalex-snapshot
Privacy-preserving SOM-based recommendations on horizontally distributed data
inferredcites →https://doi.org/10.1016/j.knosys.2013.02.003openalex-snapshot
A lattice-based approach for mining most generalization association rules
inferredcites →https://doi.org/10.1016/j.parco.2004.03.003openalex-snapshot
Parallel tree-projection-based sequence mining algorithms
inferredcites →https://doi.org/10.1023/a:1006624031083openalex-snapshot
Adaptive Intrusion Detection: A Data Mining Approach
inferredcites →https://doi.org/10.1023/a:1007652502315openalex-snapshot
SPADE: An Efficient Algorithm for Mining Frequent Sequences
inferredcites →https://doi.org/10.1023/a:1009773317876openalex-snapshot
Parallel Algorithms for Discovery of Association Rules
inferredcites →https://doi.org/10.1023/a:1012813326519openalex-snapshot
Distributed, Collaborative Data Analysis from Heterogeneous Sites Using a Scalable Evolutionary Technique
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/10.1080/18756891.2010.9727705openalex-snapshot
Parallel Sequential Pattern Mining of Massive Trajectory Data
inferredcites →https://doi.org/10.1109/69.553155openalex-snapshot
Data mining: an overview from a database perspective
inferredcites →https://doi.org/10.1109/69.553158openalex-snapshot
Efficient mining of association rules in distributed databases
inferredcites →https://doi.org/10.1109/69.846289openalex-snapshot
Scalable parallel data mining for association rules
inferredcites →https://doi.org/10.1109/access.2014.2362522openalex-snapshot
Information Security in Big Data: Privacy and Data Mining
inferredcites →https://doi.org/10.1109/bigdata.2013.6691633openalex-snapshot
Efficiently extracting frequent subgraphs using MapReduce
inferredcites →https://doi.org/10.1109/bigdata.2013.6691742openalex-snapshot
Frequent Itemset Mining for Big Data
inferredcites →https://doi.org/10.1109/bigdata.2014.7004279openalex-snapshot
Bootstrapping K-means for big data analysis
inferredcites →https://doi.org/10.1109/bigdata.2014.7004440openalex-snapshot
RuleMR: Classification rule discovery with MapReduce
inferredcites →https://doi.org/10.1109/cloudcom-asia.2013.87openalex-snapshot
Privacy-Preserving Two-Party Distributed Association Rules Mining on Horizontally Partitioned Data
inferredcites →https://doi.org/10.1109/fskd.2008.33openalex-snapshot
PartSpan: Parallel Sequence Mining of Trajectory Patterns
inferredcites →https://doi.org/10.1109/hpdc.2006.1652163openalex-snapshot
Short Paper: Troubleshooting Distributed Systems via Data Mining
inferredcites →https://doi.org/10.1109/iccct.2012.15openalex-snapshot
Privacy Preserving Data Mining Techniques: Current Scenario and Future Prospects
inferredcites →https://doi.org/10.1109/icde.2001.914830openalex-snapshot
PrefixSpan,: mining sequential patterns efficiently by prefix-projected pattern growth
inferredcites →https://doi.org/10.1109/icde.2004.1319986openalex-snapshot
BIDE: efficient mining of frequent closed sequences
inferredcites →https://doi.org/10.1109/icde.2007.367919openalex-snapshot
Distributed Data Stream Clustering: A Fast EM-based Approach
inferredcites →https://doi.org/10.1109/icde.2014.6816705openalex-snapshot
Large-scale frequent subgraph mining in MapReduce
inferredcites →https://doi.org/10.1109/icdew.2013.6547461openalex-snapshot
P-Mine: Parallel itemset mining on large datasets
inferredcites →https://doi.org/10.1109/icdm.2002.1184038openalex-snapshot
gSpan: graph-based substructure pattern mining
inferredcites →https://doi.org/10.1109/icdmw.2015.18openalex-snapshot
PaMPa-HD: A Parallel MapReduce-Based Frequent Pattern Miner for High-Dimensional Data
inferredcites →https://doi.org/10.1109/icsmc.2006.384889openalex-snapshot
Mining Molecular Datasets on Symmetric Multiprocessor Systems
inferredcites →https://doi.org/10.1109/imccc.2015.373openalex-snapshot
MapReduce-Based H-Mine Algorithm
inferredcites →https://doi.org/10.1109/infcom.2004.1354534openalex-snapshot
Distributed clustering in ad-hoc sensor networks: a hybrid, energy-efficient approach
inferredcites →https://doi.org/10.1109/ipdps.2011.258openalex-snapshot
CloudClustering: Toward an Iterative Data Processing Pattern on the Cloud
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/jstsp.2011.2114324openalex-snapshot
Distributed Clustering Using Wireless Sensor Networks
inferredcites →https://doi.org/10.1109/mnet.2014.6863131openalex-snapshot
Toward efficient and privacy-preserving computing in big data era
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Migrate or not? exploiting dynamic task migration in mobile cloud computing systems
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Hash based parallel algorithms for mining association rules
inferredcites →https://doi.org/10.1109/pdis.1996.568665openalex-snapshot
A fast distributed algorithm for mining association rules
inferredcites →https://doi.org/10.1109/pdsw.2014.10openalex-snapshot
VSFS: A Searchable Distributed File System
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Clustering Using a Similarity Measure Based on Shared Near Neighbors
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Mining sequential patterns by pattern-growth: the PrefixSpan approach
inferredcites →https://doi.org/10.1109/tkde.2011.124openalex-snapshot
Enabling Multilevel Trust in Privacy Preserving Data Mining
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Secure Mining of Association Rules in Horizontally Distributed Databases
inferredcites →https://doi.org/10.1109/tkde.2015.2391123openalex-snapshot
GDCluster: A General Decentralized Clustering Algorithm
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Optimal resource allocation in wireless ad hoc networks: a price-based approach
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DPcode: Privacy-Preserving Frequent Visual Patterns Publication on Cloud
inferredcites →https://doi.org/10.1109/tpds.2005.76openalex-snapshot
Agent-based load balancing on homogeneous minigrids: macroscopic modeling and characterization
inferredcites →https://doi.org/10.1109/tpds.2006.101openalex-snapshot
Dynamic Load Balancing for the Distributed Mining of Molecular Structures
inferredcites →https://doi.org/10.1109/tpds.2009.136openalex-snapshot
Optimal Resource Placement in Structured Peer-to-Peer Networks
inferredcites →https://doi.org/10.1109/tpds.2013.254openalex-snapshot
Understanding Social Networks From a Multiagent Perspective
inferredcites →https://doi.org/10.1109/tpds.2014.2306193openalex-snapshot
Efficient $k$ -Means++ Approximation with MapReduce
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A Survey of Task Allocation and Load Balancing in Distributed Systems
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Parallel and Distributed Methods for Incremental Frequent Itemset Mining
inferredcites →https://doi.org/10.1137/1.9781611972733.15openalex-snapshot
CloSpan: Mining: Closed Sequential Patterns in Large Datasets
inferredcites →https://doi.org/10.1137/1.9781611972740.51openalex-snapshot
A Foundational Approach to Mining Itemset Utilities from Databases
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10 CHALLENGING PROBLEMS IN DATA MINING RESEARCH
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Parallel algorithms for mining frequent structural motifs in scientific data
inferredcites →https://doi.org/10.1145/1031171.1031209openalex-snapshot
Scalable sequential pattern mining for biological sequences
inferredcites →https://doi.org/10.1145/1065944.1065979openalex-snapshot
A sampling-based framework for parallel data mining
inferredcites →https://doi.org/10.1145/1081870.1081937openalex-snapshot
Parallel mining of closed sequential patterns
inferredcites →https://doi.org/10.1145/1132960.1132963openalex-snapshot
Interestingness measures for data mining
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Mining association rules between sets of items in large databases
inferredcites →https://doi.org/10.1145/170036.170072openalex-snapshot
Mining association rules between sets of items in large databases
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Apriori-based frequent itemset mining algorithms on MapReduce
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Efficient parallel data mining for association rules
inferredcites →https://doi.org/10.1145/2503009openalex-snapshot
Distributed data management using MapReduce
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Parallel motif extraction from very long sequences
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Parallel data mining for association rules on shared-memory multi-processors
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Communication-efficient distributed mining of association rules
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Tools for privacy preserving distributed data mining
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Big Data: Survey, Technologies, Opportunities, and Challenges
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An Incremental High‐Utility Mining Algorithm with Transaction Insertion
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Differences Between Distributed and Parallel Systems
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Distributed Data Mining
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Distributed Data Clustering : A Comparative Analysis
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Kernel Principal Component Analysis
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Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Association rule mining based fuzzy manta ray foraging optimization algorithm for frequent itemset generation from social media
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inferred← citeshttps://doi.org/10.1109/bigdata.2018.8622242openalex-snapshot
CoUPM: Correlated Utility-based Pattern Mining
inferred← citeshttps://doi.org/10.1109/bigdata.2018.8622405openalex-snapshot
Privacy Preserving Utility Mining: A Survey
inferred← citeshttps://doi.org/10.1109/bigdata47090.2019.9006171openalex-snapshot
A GA-based Framework for Mining High Fuzzy Utility Itemsets
inferred← citeshttps://doi.org/10.1109/bigdata50022.2020.9377761openalex-snapshot
OSUMI: On-Shelf Utility Mining from Itemset-based Data
inferred← citeshttps://doi.org/10.1109/bigdata52589.2021.9671342openalex-snapshot
Joint Utility and Frequency for Pattern Classification
inferred← citeshttps://doi.org/10.1109/bigdata52589.2021.9671720openalex-snapshot
Targeted High-Utility Itemset Querying
inferred← citeshttps://doi.org/10.1109/bigdata52589.2021.9671809openalex-snapshot
NSPIS: Mining Negative Sequential Patterns with Individual Support
inferred← citeshttps://doi.org/10.1109/bigdata52589.2021.9672021openalex-snapshot
Mining On-shelf High-utility Quantitative Itemsets
inferred← citeshttps://doi.org/10.1109/bigdata55660.2022.10020226openalex-snapshot
Targeted Mining of Rare High-Utility Patterns
inferred← citeshttps://doi.org/10.1109/bigdata55660.2022.10020431openalex-snapshot
Federated Learning Attacks and Defenses: A Survey
inferred← citeshttps://doi.org/10.1109/bigdata55660.2022.10021004openalex-snapshot
Metaverse in Education: Vision, Opportunities, and Challenges
inferred← citeshttps://doi.org/10.1109/bigdata55660.2022.10021112openalex-snapshot
Metaverse Security and Privacy: An Overview
inferred← citeshttps://doi.org/10.1109/bigdata59044.2023.10386286openalex-snapshot
ODTT: Optimized Dynamic Taxonomy Tree with Differential Privacy
inferred← citeshttps://doi.org/10.1109/bigdata59044.2023.10386351openalex-snapshot
Model-as-a-Service (MaaS): A Survey
inferred← citeshttps://doi.org/10.1109/bigdata59044.2023.10386702openalex-snapshot
Mining Rare Utility Patterns within Target Items
inferred← citeshttps://doi.org/10.1109/bigdata66926.2025.11401507openalex-snapshot
AI-Driven Log Analysis: Advances and Challenges
inferred← citeshttps://doi.org/10.1109/docs60977.2023.10294389openalex-snapshot
Data-Driven Regression Modeling for Measuring the Influence of Infodemic over Social Media
inferred← citeshttps://doi.org/10.1109/docs60977.2023.10294968openalex-snapshot
Data-Driven Accessibility Public Welfare Communication and Mobile Crowdsourcing System
inferred← citeshttps://doi.org/10.1109/ds-rt47707.2019.8958680openalex-snapshot
Synthesization of High-Utility Patterns in Parallel Computing
inferred← citeshttps://doi.org/10.1109/dsaa54385.2022.10032434openalex-snapshot
Fast Mining RFM Patterns for Behavioral Analytics
inferred← citeshttps://doi.org/10.1109/dsaa54385.2022.10032452openalex-snapshot
Constraint-based Sequential Rule Mining
inferred← citeshttps://doi.org/10.1109/dsaa60987.2023.10302500openalex-snapshot
Incremental Targeted Mining in Sequences
inferred← citeshttps://doi.org/10.1109/icdis55630.2022.00060openalex-snapshot
Behavioral Sequence Classification with Constraints
inferred← citeshttps://doi.org/10.1109/icdis55630.2022.00061openalex-snapshot
Weighted Contiguous Sequential Pattern Mining
inferred← citeshttps://doi.org/10.1109/icdis55630.2022.00062openalex-snapshot
Fuzzy Utility Mining on Temporal Data
inferred← citeshttps://doi.org/10.1109/icdmw51313.2020.00097openalex-snapshot
Efficient Mining of Non-Dominated High Quantity-Utility Patterns
inferred← citeshttps://doi.org/10.1109/icdmw53433.2021.00081openalex-snapshot
TopUMS: Top-k Utility Mining in Stream Data
inferred← citeshttps://doi.org/10.1109/icears56392.2023.10085646openalex-snapshot
Big Data Security through Privacy – Preserving Data Mining (PPDM): A Decentralization Approach
inferred← citeshttps://doi.org/10.1109/icees51510.2021.9383673openalex-snapshot
Performance analysis of privacy preserving distributed data mining based on cryptographic techniques
inferred← citeshttps://doi.org/10.1109/icpads60453.2023.00081openalex-snapshot
Fast RFM Analysis in Sequence Data
inferred← citeshttps://doi.org/10.1109/icpads60453.2023.00126openalex-snapshot
Distributed Training of Large Language Models
inferred← citeshttps://doi.org/10.1109/icwr49608.2020.9122295openalex-snapshot
Review of Apriori based Frequent Itemset Mining Solutions on Big Data
inferred← citeshttps://doi.org/10.1109/icwr51868.2021.9443137openalex-snapshot
An Approach to Improve Apriori Algorithm for Extraction of Frequent Itemsets
inferred← citeshttps://doi.org/10.1109/infocom48880.2022.9796719openalex-snapshot
FedFPM: A Unified Federated Analytics Framework for Collaborative Frequent Pattern Mining
inferred← citeshttps://doi.org/10.1109/jiot.2023.3247594openalex-snapshot
Internet of Behaviors: A Survey
inferred← citeshttps://doi.org/10.1109/jiot.2024.3408149openalex-snapshot
CLSM-FL: Clustering-Based Semantic Federated Learning in Non-IID IoT Environment
inferred← citeshttps://doi.org/10.1109/mim.2022.9908266openalex-snapshot
Feedback Learning in Software-Defined Mobile Network for Resource Aware Load Balancing Under Fault Tolerance Conditions
inferred← citeshttps://doi.org/10.1109/rasse60029.2023.10363519openalex-snapshot
Security Risk Assessment of Metaverse Based Healthcare Systems Based on Common Vulnerabilities and Exposures (CVE)
inferred← citeshttps://doi.org/10.1109/smc.2019.8914402openalex-snapshot
ProUM: High Utility Sequential Pattern Mining
inferred← citeshttps://doi.org/10.1109/smc42975.2020.9282878openalex-snapshot
UHUOPM: High Utility Occupancy Pattern Mining in Uncertain Data
inferred← citeshttps://doi.org/10.1109/tai.2022.3171530openalex-snapshot
Targeted High-Utility Itemset Querying
inferred← citeshttps://doi.org/10.1109/tcyb.2019.2896267openalex-snapshot
HUOPM: High-Utility Occupancy Pattern Mining
inferred← citeshttps://doi.org/10.1109/tetc.2024.3443060openalex-snapshot
DP-PartFIM: Frequent Itemset Mining Using Differential Privacy and Partition
inferred← citeshttps://doi.org/10.1109/tetci.2020.3032701openalex-snapshot
Security and Privacy in Shared HitLCPS Using a GA-Based Multiple-Threshold Sanitization Model
inferred← citeshttps://doi.org/10.1109/tkde.2019.2942594openalex-snapshot
A Survey of Utility-Oriented Pattern Mining
inferred← citeshttps://doi.org/10.1109/tnse.2023.3278674openalex-snapshot
Data Analytic for Healthcare Cyber Physical System
inferred← citeshttps://doi.org/10.1109/tnsm.2023.3321401openalex-snapshot
Robust Procedural Learning for Anomaly Detection and Observability in 5G RAN
inferred← citeshttps://doi.org/10.1109/tpds.2020.2975550openalex-snapshot
Local-Density Subspace Distributed Clustering for High-Dimensional Data
inferred← citeshttps://doi.org/10.1109/trustcom60117.2023.00345openalex-snapshot
Towards Reliable Collaborative Data Processing Ecosystems: Survey on Data Quality Criteria
inferred← citeshttps://doi.org/10.1111/exsy.12875openalex-snapshot
Sensor data fusion for the industrial artificial intelligence of things
inferred← citeshttps://doi.org/10.1145/3314107openalex-snapshot
A Survey of Parallel Sequential Pattern Mining
inferred← citeshttps://doi.org/10.1145/3315507.3330200openalex-snapshot
Towards compiling graph queries in relational engines
inferred← citeshttps://doi.org/10.1145/3362070openalex-snapshot
Utility Mining across Multi-Sequences with Individualized Thresholds
inferred← citeshttps://doi.org/10.1145/3363571openalex-snapshot
High-Utility Itemset Mining with Effective Pruning Strategies
inferred← citeshttps://doi.org/10.1145/3391251openalex-snapshot
Utility-Driven Mining of Trend Information for Intelligent System
inferred← citeshttps://doi.org/10.1145/3408296openalex-snapshot
A Multi-Threshold Ant Colony System-based Sanitization Model in Shared Medical Environments
inferred← citeshttps://doi.org/10.1145/3423557openalex-snapshot
The Efficient Mining of Skyline Patterns from a Volunteer Computing Network
inferred← citeshttps://doi.org/10.1145/3427477.3429990openalex-snapshot
A Deep Q-Learning Sanitization Approach for Privacy Preserving Data Mining
inferred← citeshttps://doi.org/10.1145/3452369.3463824openalex-snapshot
A Methodological Perspective on Lawful Internet Surveillance
inferred← citeshttps://doi.org/10.1145/3487553.3524706openalex-snapshot
Discovering Top-k Profitable Patterns for Smart Manufacturing
inferred← citeshttps://doi.org/10.1145/3487553.3524707openalex-snapshot
Fast RFM Model for Customer Segmentation
inferred← citeshttps://doi.org/10.1145/3487553.3524708openalex-snapshot
Mining with Rarity for Web Intelligence
inferred← citeshttps://doi.org/10.1145/3511808.3557327openalex-snapshot
Frequent Itemset Mining with Local Differential Privacy
inferred← citeshttps://doi.org/10.1145/3531480openalex-snapshot
Smart System: Joint Utility and Frequency for Pattern Classification
inferred← citeshttps://doi.org/10.1145/3543873.3587583openalex-snapshot
Web 3.0: The Future of Internet
inferred← citeshttps://doi.org/10.1145/3543873.3587584openalex-snapshot
Federated Learning for Metaverse: A Survey
inferred← citeshttps://doi.org/10.1145/3543873.3587593openalex-snapshot
The Human-Centric Metaverse: A Survey
inferred← citeshttps://doi.org/10.1145/3589335.3651898openalex-snapshot
Open Metaverse: Issues, Evolution, and Future
inferred← citeshttps://doi.org/10.1145/3607199.3607204openalex-snapshot
Efficient Membership Inference Attacks against Federated Learning via Bias Differences
inferred← citeshttps://doi.org/10.1145/3639063openalex-snapshot
Data Scarcity in Recommendation Systems: A Survey
inferred← citeshttps://doi.org/10.1186/s40537-016-0061-4openalex-snapshot
Vaccination allocation in large dynamic networks
inferred← citeshttps://doi.org/10.26599/tst.2021.9010029openalex-snapshot
Dataflow Management in the Internet of Things: Sensing, Control, and Security
inferred← citeshttps://doi.org/10.30574/ijsra.2023.8.1.0145openalex-snapshot
Dynamic data masking: Enhancing data security in real-time
inferred← citeshttps://doi.org/10.32604/csse.2023.035149openalex-snapshot
Aspect-Based Sentiment Analysis for Social Multimedia: A Hybrid Computational Framework
inferred← citeshttps://doi.org/10.32996/jcsts.2023.5.4.12openalex-snapshot
Improving the Efficiency of Distributed Utility Item Sets Mining in Relation to Big Data
inferred← citeshttps://doi.org/10.3390/app12042147openalex-snapshot
Privacy-Aware and Secure Decentralized Air Quality Monitoring
inferred← citeshttps://doi.org/10.3390/app12115646openalex-snapshot
Privacy-Preserving Data Mining on Blockchain-Based WSNs
inferred← citeshttps://doi.org/10.3390/app9040774openalex-snapshot
A Grid-Based Swarm Intelligence Algorithm for Privacy-Preserving Data Mining
inferred← citeshttps://doi.org/10.3390/app9102075openalex-snapshot
MISFP-Growth: Hadoop-Based Frequent Pattern Mining with Multiple Item Support
inferred← citeshttps://doi.org/10.3390/electronics12163398openalex-snapshot
Distributed ItemCF Recommendation Algorithm Based on the Combination of MapReduce and Hive
inferred← citeshttps://doi.org/10.37034/infeb.v4i3.155openalex-snapshot
Data Mining Dengan Metode Naïves Bayes Classifer dalam Memprediksi Tingkat Kepuasan Pelayanan Dokumen Kependudukan
inferred← citeshttps://doi.org/10.4018/ijdwm.2019100101openalex-snapshot
Hybrid Partitioning-Density Algorithm for K-Means Clustering of Distributed Data Utilizing OPTICS
inferred← citeshttps://doi.org/10.4018/ijitsa.290000openalex-snapshot
Evaluation Platform for DDM Algorithms With the Usage of Non-Uniform Data Distribution Strategies
inferred← citeshttps://doi.org/10.48550/arxiv.2106.14811openalex-snapshot
TOPIC: Top-k High-Utility Itemset Discovering
inferred← citeshttps://doi.org/10.48550/arxiv.2106.14830openalex-snapshot
THUE: Discovering Top-K High Utility Episodes
inferred← citeshttps://doi.org/10.48550/arxiv.2111.00309openalex-snapshot
TargetUM: Targeted High-Utility Itemset Querying
inferred← citeshttps://doi.org/10.70675/92d21a9aza54dz4fadzbcafzde28242ed93copenalex-snapshot
Temporal Graphs : From Modelling to Analysis
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