Keyword

frequent itemsets

Description: Sets of items that occur together in a transaction database at or above a specified frequency threshold, often used in association-rule mining.

Primary topic: Data Mining Algorithms and Applications (71%)

OpenAlex ID: keywords/frequent-itemsets

Mining of Massive Datasets

2011 · Anand Rajaraman, Jeffrey David Ullman · Cambridge University Press eBooks · 2,269

Sequential PAttern mining using a bitmap representation

2002 · Jay Ayres, Jason Flannick, et al. · ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) · 1,100

Mining of Massive Datasets

2014 · Jure Leskovec, Anand Rajaraman, et al. · Cambridge University Press eBooks · 1,070

FreeSpan

2000 · Jiawei Han, Jian Pei, et al. · ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) · 808

Efficient algorithms for mining closed itemsets and their lattice structure

2005 · M.J. Zaki, C.-J. Hsiao · IEEE Transactions on Knowledge and Data Engineering · 681

arules - A Computational Environment for Mining Association Rules and Frequent Item Sets

2005 · Michael Hahsler, Bettina Grün, et al. · Journal of Statistical Software · 553

Generating non-redundant association rules

2000 · Mohammed J. Zaki · ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) · 492

Hierarchical Document Clustering Using Frequent Itemsets

2003 · Benjamin C.M. Fung, Ke Wang, et al. · SIAM International Conference on Data Mining · 473

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Computing iceberg concept lattices with Titanic

2002 · Gerd Stumme, Rafik Taouil, et al. · Data & Knowledge Engineering · 450

Mining Non-Redundant Association Rules

2004 · Mohammed J. Zaki · Data Mining and Knowledge Discovery · 390

A fast high utility itemsets mining algorithm

2005 · Ying Liu, Wei-keng Liao, et al. · 369

Constraint-based rule mining in large, dense databases

1999 · R.J. Bayardo, R. Agrawal, et al. · Proceedings - International Conference on Data Engineering · 363

Using association rules for product assortment decisions

1999 · Tom Brijs, Gilbert Swinnen, et al. · ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) · 361

Discovery of frequent DATALOG patterns

1999 · Luc Dehaspe, Hannu Toivonen · Data Mining and Knowledge Discovery · 313

Mining frequent patterns with counting inference

2000 · Yves Bastide, Rafik Taouil, et al. · ACM SIGKDD Explorations Newsletter · 304

Probabilistic frequent itemset mining in uncertain databases

2009 · Thomas Bernecker, Hans-Peter Kriegel, et al. · ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) · 264

A scalable pattern mining approach to web graph compression with communities

2008 · Gregory Buehrer, Kumar Chellapilla · 247

Text document clustering based on frequent word meaning sequences

2007 · Yanjun Li, Soon M. Chung, et al. · Data & Knowledge Engineering · 247

Survey on Frequent Pattern Mining

2003 · Bart Goethals · 243

Constraint-Based Rule Mining in Large, Dense Databases

2000 · Roberto J. Bayardo, Rakesh Agrawal, et al. · Data Mining and Knowledge Discovery · 225

An approach to discovering temporal association rules

2000 · Juan M. Ale, Gustavo H. Rossi · 224

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Discovery of Interesting Usage Patterns from Web Data

2000 · Robert Cooley, Pang-Ning Tan, et al. · Lecture notes in computer science · 196

FP-outlier: Frequent pattern based outlier detection

2005 · Zengyou He, Xiaofei Xu, et al. · Computer Science and Information Systems · 188

Generating a Condensed Representation for Association Rules

2005 · Nicolas Pasquier, Rafik Taouil, et al. · Journal of Intelligent Information Systems · 183

DEMIDS: A Misuse Detection System for Database Systems

2000 · Christina Yip Chung, Michael Gertz, et al. · IFIP advances in information and communication technology · 181

Works count: 2,054

Citation count: 25,010