Mining association rules between sets of items in large databases
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
An effective hash-based algorithm for mining association rules
SIGMOD '95 Proceedings of the 1995 ACM SIGMOD international conference on Management of data
Dynamic itemset counting and implication rules for market basket data
SIGMOD '97 Proceedings of the 1997 ACM SIGMOD international conference on Management of data
Efficient enumeration of frequent sequences
Proceedings of the seventh international conference on Information and knowledge management
Incremental and interactive sequence mining
Proceedings of the eighth international conference on Information and knowledge management
Mining frequent patterns without candidate generation
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
FreeSpan: frequent pattern-projected sequential pattern mining
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
SPADE: an efficient algorithm for mining frequent sequences
Machine Learning
Data Mining: Introductory and Advanced Topics
Data Mining: Introductory and Advanced Topics
Scalable Algorithms for Association Mining
IEEE Transactions on Knowledge and Data Engineering
Mining Sequential Patterns: Generalizations and Performance Improvements
EDBT '96 Proceedings of the 5th International Conference on Extending Database Technology: Advances in Database Technology
ICDE '95 Proceedings of the Eleventh International Conference on Data Engineering
PrefixSpan: Mining Sequential Patterns by Prefix-Projected Growth
Proceedings of the 17th International Conference on Data Engineering
Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
Discovery of Multiple-Level Association Rules from Large Databases
VLDB '95 Proceedings of the 21th International Conference on Very Large Data Bases
An Efficient Algorithm for Mining Association Rules in Large Databases
VLDB '95 Proceedings of the 21th International Conference on Very Large Data Bases
Sampling Large Databases for Association Rules
VLDB '96 Proceedings of the 22th International Conference on Very Large Data Bases
Finding Generalized Path Patterns for Web Log Data Mining
ADBIS-DASFAA '00 Proceedings of the East-European Conference on Advances in Databases and Information Systems Held Jointly with International Conference on Database Systems for Advanced Applications: Current Issues in Databases and Information Systems
Mining Access Patterns Efficiently from Web Logs
PADKK '00 Proceedings of the 4th Pacific-Asia Conference on Knowledge Discovery and Data Mining, Current Issues and New Applications
Sequential PAttern mining using a bitmap representation
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Web usage mining: discovery and applications of usage patterns from Web data
ACM SIGKDD Explorations Newsletter
An Efficient Algorithm for Mining Frequent Sequences by a New Strategy without Support Counting
ICDE '04 Proceedings of the 20th International Conference on Data Engineering
BIDE: Efficient Mining of Frequent Closed Sequences
ICDE '04 Proceedings of the 20th International Conference on Data Engineering
FS-Miner: efficient and incremental mining of frequent sequence patterns in web logs
Proceedings of the 6th annual ACM international workshop on Web information and data management
Mining Web Log Sequential Patterns with Position Coded Pre-Order Linked WAP-Tree
Data Mining and Knowledge Discovery
Mining interesting knowledge from weblogs: a survey
Data & Knowledge Engineering
Webframe: in pursuit of computationally and cognitively efficient web mining
Webframe: in pursuit of computationally and cognitively efficient web mining
PLWAP sequential mining: open source code
Proceedings of the 1st international workshop on open source data mining: frequent pattern mining implementations
LAPIN-SPAM: An Improved Algorithm for Mining Sequential Pattern
ICDEW '05 Proceedings of the 21st International Conference on Data Engineering Workshops
On progressive sequential pattern mining
CIKM '06 Proceedings of the 15th ACM international conference on Information and knowledge management
Task-oriented modeling for the discovery of web user navigational patterns
Task-oriented modeling for the discovery of web user navigational patterns
VLDB '07 Proceedings of the 33rd international conference on Very large data bases
Position coded pre-order linked WAP-tree for web log sequential pattern mining
PAKDD'03 Proceedings of the 7th Pacific-Asia conference on Advances in knowledge discovery and data mining
LAPIN: effective sequential pattern mining algorithms by last position induction for dense databases
DASFAA'07 Proceedings of the 12th international conference on Database systems for advanced applications
Web Data Mining: Exploring Hyperlinks, Contents, and Usage Data
Web Data Mining: Exploring Hyperlinks, Contents, and Usage Data
An effective system for mining web log
APWeb'06 Proceedings of the 8th Asia-Pacific Web conference on Frontiers of WWW Research and Development
HVSM: a new sequential pattern mining algorithm using bitmap representation
ADMA'05 Proceedings of the First international conference on Advanced Data Mining and Applications
Mining very long sequences in large databases with PLWAPLong
IDEAS '09 Proceedings of the 2009 International Database Engineering & Applications Symposium
Using domain ontology for semantic web usage mining and next page prediction
Proceedings of the 18th ACM conference on Information and knowledge management
ISMIS'11 Proceedings of the 19th international conference on Foundations of intelligent systems
Contextual trace-based video recommendations
Proceedings of the 21st international conference companion on World Wide Web
USpan: an efficient algorithm for mining high utility sequential patterns
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
Explaining difficulty navigating a website using page view data
Proceedings of the Seventeenth Australasian Document Computing Symposium
Sequential pattern mining -- approaches and algorithms
ACM Computing Surveys (CSUR)
An application of improved gap-BIDE algorithm for discovering access patterns
Applied Computational Intelligence and Soft Computing - Special issue on Awareness Science and Engineering
Computing n-gram statistics in MapReduce
Proceedings of the 16th International Conference on Extending Database Technology
Proceedings of the International Conference on Management of Emergent Digital EcoSystems
Closeness Preference - A new interestingness measure for sequential rules mining
Knowledge-Based Systems
Parallel motif extraction from very long sequences
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Trajectory pattern change analysis in campus WiFi networks
Proceedings of the Second ACM SIGSPATIAL International Workshop on Mobile Geographic Information Systems
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Owing to important applications such as mining web page traversal sequences, many algorithms have been introduced in the area of sequential pattern mining over the last decade, most of which have also been modified to support concise representations like closed, maximal, incremental or hierarchical sequences. This article presents a taxonomy of sequential pattern-mining techniques in the literature with web usage mining as an application. This article investigates these algorithms by introducing a taxonomy for classifying sequential pattern-mining algorithms based on important key features supported by the techniques. This classification aims at enhancing understanding of sequential pattern-mining problems, current status of provided solutions, and direction of research in this area. This article also attempts to provide a comparative performance analysis of many of the key techniques and discusses theoretical aspects of the categories in the taxonomy.