Depth first generation of long patterns

Towards long pattern generation in dense databases

ACM SIGKDD Explorations Newsletter

Clustering by pattern similarity in large data sets

Proceedings of the 2002 ACM SIGMOD international conference on Management of data

Discovery in multi-attribute data with user-defined constraints

ACM SIGKDD Explorations Newsletter

Using conjunction of attribute values for classification

Proceedings of the eleventh international conference on Information and knowledge management

Efficient Adaptive-Support Association Rule Mining for Recommender Systems

Data Mining and Knowledge Discovery

Alternative Interest Measures for Mining Associations in Databases

IEEE Transactions on Knowledge and Data Engineering

Computing Association Rules Using Partial Totals

PKDD '01 Proceedings of the 5th European Conference on Principles of Data Mining and Knowledge Discovery

Finding Association Rules with Some Very Frequent Attributes

PKDD '02 Proceedings of the 6th European Conference on Principles of Data Mining and Knowledge Discovery

Extract Frequent Pattern from Simple Graph Data

WAIM '02 Proceedings of the Third International Conference on Advances in Web-Age Information Management

Further Pruning for Efficient Association Rule Discovery

AI '01 Proceedings of the 14th Australian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence

Enhancing the Apriori Algorithm for Frequent Set Counting

DaWaK '01 Proceedings of the Third International Conference on Data Warehousing and Knowledge Discovery

Fast Discovery of Sequential Patterns by Memory Indexing

DaWaK 2000 Proceedings of the 4th International Conference on Data Warehousing and Knowledge Discovery

Feasible itemset distributions in data mining: theory and application

Proceedings of the twenty-second ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems

Mining frequent item sets by opportunistic projection

Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining

A new two-phase sampling based algorithm for discovering association rules

Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining

Discovering all most specific sentences

ACM Transactions on Database Systems (TODS)

OP-Cluster: Clustering by Tendency in High Dimensional Space

ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining

Fast vertical mining using diffsets

Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining

Finding recent frequent itemsets adaptively over online data streams

Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining

Efficient dynamic mining of constrained frequent sets

ACM Transactions on Database Systems (TODS)

Mining association rules from XML data using XQuery

ACSW Frontiers '04 Proceedings of the second workshop on Australasian information security, Data Mining and Web Intelligence, and Software Internationalisation - Volume 32

Advances in frequent itemset mining implementations: report on FIMI'03

ACM SIGKDD Explorations Newsletter - Special issue on learning from imbalanced datasets

The complexity of mining maximal frequent itemsets and maximal frequent patterns

Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining

An Efficient Mining and Clustering Algorithm for Interactive Walk-Through Traversal Patterns

WI '04 Proceedings of the 2004 IEEE/WIC/ACM International Conference on Web Intelligence

Scalable sequential pattern mining for biological sequences

Proceedings of the thirteenth ACM international conference on Information and knowledge management

Efficient Algorithms for Mining Closed Itemsets and Their Lattice Structure

IEEE Transactions on Knowledge and Data Engineering

estWin: Online data stream mining of recent frequent itemsets by sliding window method

Journal of Information Science

Tight upper bounds on the number of candidate patterns

ACM Transactions on Database Systems (TODS)

Efficient mining method for retrieving sequential patterns over online data streams

Journal of Information Science

MAFIA: A Maximal Frequent Itemset Algorithm

IEEE Transactions on Knowledge and Data Engineering

Discovering strong skyline points in high dimensional spaces

Proceedings of the 14th ACM international conference on Information and knowledge management

GenMax: An Efficient Algorithm for Mining Maximal Frequent Itemsets

Data Mining and Knowledge Discovery

Finding Maximal Frequent Itemsets over Online Data Streams Adaptively

ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining

Association mining

ACM Computing Surveys (CSUR)

Implementing leap traversals of the itemset lattice

Proceedings of the 1st international workshop on open source data mining: frequent pattern mining implementations

Distributed Mining of Maximal Frequent Itemsets on a Data Grid System

The Journal of Supercomputing

Computational aspects of mining maximal frequent patterns

Theoretical Computer Science

Computing frequent itemsets in parallel using partial support trees

Journal of Systems and Software

CFP-tree: A compact disk-based structure for storing and querying frequent itemsets

Information Systems

Parallel mining of association rules from text databases

The Journal of Supercomputing

A new approach to mine frequent patterns using item-transformation methods

Information Systems

SQUIRE: Sequential pattern mining with quantities

Journal of Systems and Software

Efficient reduction of access latency through object correlations in virtual environments

EURASIP Journal on Applied Signal Processing

Efficiently mining Maximal Frequent Sets in dense databases for discovering association rules

Intelligent Data Analysis

Discovery of maximum length frequent itemsets

Information Sciences: an International Journal

A data mining proxy approach for efficient frequent itemset mining

The VLDB Journal — The International Journal on Very Large Data Bases

ON DATA STRUCTURES FOR ASSOCIATION RULE DISCOVERY

Applied Artificial Intelligence

Efficient mining of maximal frequent itemsets from databases on a cluster of workstations

Knowledge and Information Systems

Efficient single-pass frequent pattern mining using a prefix-tree

Information Sciences: an International Journal

Improved methods for extracting frequent itemsets from interim-support trees

Software—Practice & Experience

A new sampling technique for association rule mining

Journal of Information Science

Discovering actionable patterns in event data

IBM Systems Journal

Applying bit-vector projection approach for efficient mining of N-most interesting frequent itemsets

CI '07 Proceedings of the Third IASTED International Conference on Computational Intelligence

MaxDomino: efficiently mining maximal sets

BNCOD'03 Proceedings of the 20th British national conference on Databases

Discovering frequent itemsets in the presence of highly frequent items

INAP'01 Proceedings of the Applications of prolog 14th international conference on Web knowledge management and decision support

Depth first generation of frequent patterns without candidate generation

PAKDD'07 Proceedings of the 2007 international conference on Emerging technologies in knowledge discovery and data mining

A maximal frequent itemset algorithm

RSFDGrC'03 Proceedings of the 9th international conference on Rough sets, fuzzy sets, data mining, and granular computing

A new association rules mining algorithms based on directed itemsets graph

RSFDGrC'03 Proceedings of the 9th international conference on Rough sets, fuzzy sets, data mining, and granular computing

Algorithms for mining frequent itemsets in static and dynamic datasets

Intelligent Data Analysis

A new approach for generating efficient sample from market basket data

Expert Systems with Applications: An International Journal

Bi-k-bi clustering: mining large scale gene expression data using two-level biclustering

International Journal of Data Mining and Bioinformatics

An improved association rules mining method

Expert Systems with Applications: An International Journal

A parallel algorithm for computing borders

Proceedings of the 20th ACM international conference on Information and knowledge management

Summarizing frequent patterns using profiles

DASFAA'06 Proceedings of the 11th international conference on Database Systems for Advanced Applications

Computing frequent itemsets in parallel using partial support trees

PVM/MPI'05 Proceedings of the 12th European PVM/MPI users' group conference on Recent Advances in Parallel Virtual Machine and Message Passing Interface

A sampling-based method for mining frequent patterns from databases

FSKD'05 Proceedings of the Second international conference on Fuzzy Systems and Knowledge Discovery - Volume Part II

Mining generalized spatio-temporal patterns

DASFAA'05 Proceedings of the 10th international conference on Database Systems for Advanced Applications

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

Discovery of Periodic Patterns in Sequence Data: A Variance-Based Approach

INFORMS Journal on Computing

A tree structure for event-based sequence mining

Knowledge-Based Systems

Frequent item set mining

Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery

Recent frequent itemsets mining over data streams

Proceedings of the Second International Conference on Computational Science, Engineering and Information Technology

Anytime algorithms for mining groups with maximum coverage

AusDM '12 Proceedings of the Tenth Australasian Data Mining Conference - Volume 134