From frequent itemsets to semantically meaningful visual patterns
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
On discovery of soft associations with "most" fuzzy quantifier for item promotion applications
Information Sciences: an International Journal
Knowledge discovery in Chinese medicine
Proceedings of the 2008 C3S2E conference
Temporal pattern discovery for trends and transient effects: its application to patient records
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Efficient String Mining under Constraints Via the Deferred Frequency Index
ICDM '08 Proceedings of the 8th industrial conference on Advances in Data Mining: Medical Applications, E-Commerce, Marketing, and Theoretical Aspects
Mining Edge-Weighted Call Graphs to Localise Software Bugs
ECML PKDD '08 Proceedings of the 2008 European Conference on Machine Learning and Knowledge Discovery in Databases - Part I
Mining Frequent Connected Subgraphs Reducing the Number of Candidates
ECML PKDD '08 Proceedings of the 2008 European Conference on Machine Learning and Knowledge Discovery in Databases - Part I
Decomposable Families of Itemsets
ECML PKDD '08 Proceedings of the European conference on Machine Learning and Knowledge Discovery in Databases - Part II
Mining GPS traces and visual words for event classification
MIR '08 Proceedings of the 1st ACM international conference on Multimedia information retrieval
Efficient single-pass frequent pattern mining using a prefix-tree
Information Sciences: an International Journal
Efficient Single-Pass Mining of Weighted Interesting Patterns
AI '08 Proceedings of the 21st Australasian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence
Implicit Groups of Web Pages as Constrained Top N Concepts
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 03
Top-down mining of frequent closed patterns from very high dimensional data
Information Sciences: an International Journal
Mining high utility patterns in incremental databases
Proceedings of the 3rd International Conference on Ubiquitous Information Management and Communication
Mining non-derivable frequent itemsets over data stream
Data & Knowledge Engineering
Handling Dynamic Weights in Weighted Frequent Pattern Mining
IEICE - Transactions on Information and Systems
Ethological data mining: an automata-based approach to extract behavioral units and rules
Data Mining and Knowledge Discovery
Mining Interventions from Parallel Event Sequences
APWeb/WAIM '09 Proceedings of the Joint International Conferences on Advances in Data and Web Management
An association analysis approach to biclustering
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Issues in pattern mining and their resolutions
C3S2E '09 Proceedings of the 2nd Canadian Conference on Computer Science and Software Engineering
A lower bound on the sample size needed to perform a significant frequent pattern mining task
Pattern Recognition Letters
An efficient rigorous approach for identifying statistically significant frequent itemsets
Proceedings of the twenty-eighth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Data & Knowledge Engineering
Attribute Constrained Rules for Partially Labeled Sequence Completion
ICDM '09 Proceedings of the 9th Industrial Conference on Advances in Data Mining. Applications and Theoretical Aspects
Sliding window-based frequent pattern mining over data streams
Information Sciences: an International Journal
A new generic basis of "factual" and "implicative" association rules
Intelligent Data Analysis
Mining spectrum usage data: a large-scale spectrum measurement study
Proceedings of the 15th annual international conference on Mobile computing and networking
Semantic web development for traditional Chinese medicine
IAAI'08 Proceedings of the 20th national conference on Innovative applications of artificial intelligence - Volume 3
Discovering hybrid temporal patterns from sequences consisting of point- and interval-based events
Data & Knowledge Engineering
Debt Detection in Social Security by Adaptive Sequence Classification
KSEM '09 Proceedings of the 3rd International Conference on Knowledge Science, Engineering and Management
Temporal task footprinting: identifying routine tasks by their temporal patterns
Proceedings of the 15th international conference on Intelligent user interfaces
Temporal pattern discovery in longitudinal electronic patient records
Data Mining and Knowledge Discovery
CP-tree: a tree structure for single-pass frequent pattern mining
PAKDD'08 Proceedings of the 12th Pacific-Asia conference on Advances in knowledge discovery and data mining
Duplicate candidate elimination and fast support calculation for frequent subgraph mining
IDEAL'09 Proceedings of the 10th international conference on Intelligent data engineering and automated learning
DCUBE: discrimination discovery in databases
Proceedings of the 2010 ACM SIGMOD International Conference on Management of data
An efficient graph-based approach to mining association rules for large databases
International Journal of Intelligent Information and Database Systems
Proceedings of the 3rd Annual Haifa Experimental Systems Conference
Block interaction: a generative summarization scheme for frequent patterns
Proceedings of the ACM SIGKDD Workshop on Useful Patterns
A framework for mining meaningful usage patterns within a semantically enhanced web portal
Proceedings of the Third C* Conference on Computer Science and Software Engineering
Using interesting sequences to interactively build Hidden Markov Models
Data Mining and Knowledge Discovery
A new algorithm for mining frequent connected subgraphs based on adjacency matrices
Intelligent Data Analysis
Algorithms for mining frequent itemsets in static and dynamic datasets
Intelligent Data Analysis
Full duplicate candidate pruning for frequent connected subgraph mining
Integrated Computer-Aided Engineering
Re-examination of interestingness measures in pattern mining: a unified framework
Data Mining and Knowledge Discovery
Toward boosting distributed association rule mining by data de-clustering
Information Sciences: an International Journal
Recommending structure in collaborative semistructured information systems
Proceedings of the fourth ACM conference on Recommender systems
Approximate weighted frequent pattern mining with/without noisy environments
Knowledge-Based Systems
ICDM'10 Proceedings of the 10th industrial conference on Advances in data mining: applications and theoretical aspects
Mining closed itemsets in data stream using formal concept analysis
DaWaK'10 Proceedings of the 12th international conference on Data warehousing and knowledge discovery
AIMSA'10 Proceedings of the 14th international conference on Artificial intelligence: methodology, systems, and applications
Summarising data by clustering items
ECML PKDD'10 Proceedings of the 2010 European conference on Machine learning and knowledge discovery in databases: Part II
Integrating induction and deduction for finding evidence of discrimination
Artificial Intelligence and Law
Scaling up top-K cosine similarity search
Data & Knowledge Engineering
Mining class-correlated patterns for sequence labeling
DS'10 Proceedings of the 13th international conference on Discovery science
Mining interestingness measures for string pattern mining
IEA/AIE'10 Proceedings of the 23rd international conference on Industrial engineering and other applications of applied intelligent systems - Volume Part I
Key issues and theoretical framework on moving objects data mining
ADMA'10 Proceedings of the 6th international conference on Advanced data mining and applications: Part I
Proceedings of the 14th International Conference on Extending Database Technology
Speedup for a periodic subgraph miner
Information Processing Letters
HUC-Prune: an efficient candidate pruning technique to mine high utility patterns
Applied Intelligence
Domain-driven KDD for mining functionally novel rules and linking disjoint medical hypotheses
Knowledge-Based Systems
Discovery of frequent patterns in transactional data streams
Transactions on large-scale data- and knowledge-centered systems II
Discovery of frequent patterns in transactional data streams
Transactions on large-scale data- and knowledge-centered systems II
Efficient prime-based method for interactive mining of frequent patterns
Expert Systems with Applications: An International Journal
Archiving the web using page changes patterns: a case study
Proceedings of the 11th annual international ACM/IEEE joint conference on Digital libraries
Towards proactive event-driven computing
Proceedings of the 5th ACM international conference on Distributed event-based system
Itemset mining: A constraint programming perspective
Artificial Intelligence
Mining frequent closed graphs on evolving data streams
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
Discovering highly reliable subgraphs in uncertain graphs
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
Mining interestingness measures for string pattern mining
Knowledge-Based Systems
Mining actionable partial orders in collections of sequences
ECML PKDD'11 Proceedings of the 2011 European conference on Machine learning and knowledge discovery in databases - Volume Part I
Improving the quality of web archives through the importance of changes
DEXA'11 Proceedings of the 22nd international conference on Database and expert systems applications - Volume Part I
An improved association rules mining method
Expert Systems with Applications: An International Journal
ICCCI'11 Proceedings of the Third international conference on Computational collective intelligence: technologies and applications - Volume Part I
Mining top-k regular-frequent itemsets using database partitioning and support estimation
Expert Systems with Applications: An International Journal
Mining classification rules without support: an anti-monotone property of Jaccard measure
DS'11 Proceedings of the 14th international conference on Discovery science
Cosine interesting pattern discovery
Information Sciences: an International Journal
Frequent approximate subgraphs as features for graph-based image classification
Knowledge-Based Systems
An algorithm for extracting rare concepts with concise intents
ICFCA'10 Proceedings of the 8th international conference on Formal Concept Analysis
Using non boolean similarity functions for frequent similar pattern mining
AI'10 Proceedings of the 23rd Canadian conference on Advances in Artificial Intelligence
A dynamic layout of sliding window for frequent itemset mining over data streams
Journal of Systems and Software
A platform for situational awareness in operational BI
Decision Support Systems
Single-pass incremental and interactive mining for weighted frequent patterns
Expert Systems with Applications: An International Journal
Data mining for diagnostic debugging in sensor networks: preliminary evidence and lessons learned
Sensor-KDD'08 Proceedings of the Second international conference on Knowledge Discovery from Sensor Data
Ranking sequential patterns with respect to significance
PAKDD'10 Proceedings of the 14th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining - Volume Part I
A false negative maximal frequent itemset mining algorithm over stream
ADMA'11 Proceedings of the 7th international conference on Advanced Data Mining and Applications - Volume Part I
A dissimilarity measure for automate moderation in online social networks
Proceedings of the 4th International Workshop on Web Intelligence & Communities
Towards a variable size sliding window model for frequent itemset mining over data streams
Computers and Industrial Engineering
An Efficient Rigorous Approach for Identifying Statistically Significant Frequent Itemsets
Journal of the ACM (JACM)
Mining of multiobjective non-redundant association rules in data streams
ICAISC'12 Proceedings of the 11th international conference on Artificial Intelligence and Soft Computing - Volume Part II
Differentially private search log sanitization with optimal output utility
Proceedings of the 15th International Conference on Extending Database Technology
Interactive mining of high utility patterns over data streams
Expert Systems with Applications: An International Journal
Supercharging recommender systems using taxonomies for learning user purchase behavior
Proceedings of the VLDB Endowment
On nested palindromes in clickstream data
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
An efficient approach for generating frequent patterns without candidate generation
Proceedings of the International Conference on Advances in Computing, Communications and Informatics
On mining clinical pathway patterns from medical behaviors
Artificial Intelligence in Medicine
Finding top-n colossal patterns based on clique search with dynamic update of graph
ICFCA'12 Proceedings of the 10th international conference on Formal Concept Analysis
Event correlation for operations management of largescale IT systems
Proceedings of the 9th international conference on Autonomic computing
Mining high utility itemsets without candidate generation
Proceedings of the 21st ACM international conference on Information and knowledge management
Incorporating occupancy into frequent pattern mining for high quality pattern recommendation
Proceedings of the 21st ACM international conference on Information and knowledge management
Optimonotone Measures For Optimal Rule Discovery
Computational Intelligence
Pervasive and Mobile Computing
Mining association rules for the quality improvement of the production process
Expert Systems with Applications: An International Journal
Discovering descriptive tile trees: by mining optimal geometric subtiles
ECML PKDD'12 Proceedings of the 2012 European conference on Machine Learning and Knowledge Discovery in Databases - Volume Part I
ECML PKDD'12 Proceedings of the 2012 European conference on Machine Learning and Knowledge Discovery in Databases - Volume Part I
ADBIS'12 Proceedings of the 16th East European conference on Advances in Databases and Information Systems
Efficient algorithms for the periodic subgraphs mining problem
Journal of Discrete Algorithms
Profiling risk sensibility through association rules
Expert Systems with Applications: An International Journal
Towards applying associative classifier for genetic variants
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part I
Anomaly extraction in backbone networks using association rules
IEEE/ACM Transactions on Networking (TON)
Summarizing categorical data by clustering attributes
Data Mining and Knowledge Discovery
Sequential pattern mining -- approaches and algorithms
ACM Computing Surveys (CSUR)
Cache Replacement in Mobile Adhoc Networks
International Journal of Distributed Systems and Technologies
ShrFP-tree: an efficient tree structure for mining share-frequent patterns
AusDM '08 Proceedings of the 7th Australasian Data Mining Conference - Volume 87
DisClose: discovering colossal closed itemsets via a memory efficient compact row-tree
PAKDD'12 Proceedings of the 2012 Pacific-Asia conference on Emerging Trends in Knowledge Discovery and Data Mining
Association discovery from relational data via granular computing
Information Sciences: an International Journal
Computing n-gram statistics in MapReduce
Proceedings of the 16th International Conference on Extending Database Technology
An efficient tree-based algorithm for mining sequential patterns with multiple minimum supports
Journal of Systems and Software
Mind the gap: large-scale frequent sequence mining
Proceedings of the 2013 ACM SIGMOD International Conference on Management of Data
FaRNet: fast recognition of high multi-dimensional network traffic patterns
Proceedings of the ACM SIGMETRICS/international conference on Measurement and modeling of computer systems
Information Sciences: an International Journal
Mining succinct and high-coverage API usage patterns from source code
Proceedings of the 10th Working Conference on Mining Software Repositories
Web usage mining with semantic analysis
Proceedings of the 22nd international conference on World Wide Web
Direct out-of-memory distributed parallel frequent pattern mining
Proceedings of the 2nd International Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications
Pushing constraints into data streams
Proceedings of the 2nd International Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications
Exploring discriminative pose sub-patterns for effective action classification
Proceedings of the 21st ACM international conference on Multimedia
Mining frequent neighborhood patterns in a large labeled graph
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Discovering influential authors in heterogeneous academic networks by a co-ranking method
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Mining associated sensor patterns for data stream of wireless sensor networks
Proceedings of the 8th ACM workshop on Performance monitoring and measurement of heterogeneous wireless and wired networks
Similarity in languages and programs
Theoretical Computer Science
Mining group movement patterns
Proceedings of the 21st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
An improved neighborhood-restricted association rule-based recommender system
ADC '13 Proceedings of the Twenty-Fourth Australasian Database Conference - Volume 137
Frequent patterns mining in multiple biological sequences
Computers in Biology and Medicine
Sentiment classification of web review using association rules
OCSC'13 Proceedings of the 5th international conference on Online Communities and Social Computing
Novel parallel method for mining frequent patterns on multi-core shared memory systems
DISCS-2013 Proceedings of the 2013 International Workshop on Data-Intensive Scalable Computing Systems
Mining frequent patterns with differential privacy
Proceedings of the VLDB Endowment
Solving inverse frequent itemset mining with infrequency constraints via large-scale linear programs
ACM Transactions on Knowledge Discovery from Data (TKDD)
FaRNet: Fast recognition of high-dimensional patterns from big network traffic data
Computer Networks: The International Journal of Computer and Telecommunications Networking
Efficient frequent pattern mining based on Linear Prefix tree
Knowledge-Based Systems
Incrementally building frequent closed itemset lattice
Expert Systems with Applications: An International Journal
Efficient frequent itemset mining methods over time-sensitive streams
Knowledge-Based Systems
Mining high utility itemsets by dynamically pruning the tree structure
Applied Intelligence
Scaling up cosine interesting pattern discovery: A depth-first method
Information Sciences: an International Journal
A new dissimilarity measure for online social networks moderation
Web Intelligence and Agent Systems - Web Intelligence and Communities
20 years of pattern mining: a bibliometric survey
ACM SIGKDD Explorations Newsletter
Mining Therapeutic Patterns from Clinical Data for Juvenile Diabetes
Fundamenta Informaticae - To Andrzej Skowron on His 70th Birthday
Mining sequential patterns with extensible knowledge representation
Intelligent Data Analysis
Key roles of closed sets and minimal generators in concise representations of frequent patterns
Intelligent Data Analysis
Incremental mining of sequential patterns: Progress and challenges
Intelligent Data Analysis
Intelligent Decision Technologies
MPaaS: Mobility prediction as a service in telecom cloud
Information Systems Frontiers
Trends and outlook for the massive-scale analytics stack
IBM Journal of Research and Development
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Frequent pattern mining has been a focused theme in data mining research for over a decade. Abundant literature has been dedicated to this research and tremendous progress has been made, ranging from efficient and scalable algorithms for frequent itemset mining in transaction databases to numerous research frontiers, such as sequential pattern mining, structured pattern mining, correlation mining, associative classification, and frequent pattern-based clustering, as well as their broad applications. In this article, we provide a brief overview of the current status of frequent pattern mining and discuss a few promising research directions. We believe that frequent pattern mining research has substantially broadened the scope of data analysis and will have deep impact on data mining methodologies and applications in the long run. However, there are still some challenging research issues that need to be solved before frequent pattern mining can claim a cornerstone approach in data mining applications.