Keyword

minimum support

Description: This is a threshold specifying the minimum frequency an itemset must have to be retained when mining association rules.

Primary topic: Data Mining Algorithms and Applications (83%)

OpenAlex ID: keywords/support-threshold

Mining sequential patterns

2002 · R. Agrawal, R. Srikant · Proceedings - International Conference on Data Engineering · 5,155

Mining association rules with multiple minimum supports

1999 · Bing Liu, Wynne Hsu, et al. · ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) · 742

CloSpan: Mining: Closed Sequential Patterns in Large Datasets

2003 · Xifeng Yan, Jiawei Han, et al. · SIAM International Conference on Data Mining · 539

Bottom-up computation of sparse and Iceberg CUBE

1999 · Kevin Beyer, Raghu Ramakrishnan · ACM SIGMOD Record · 461

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Alternative interest measures for mining associations in databases

2003 · E.R. Omiecinski · IEEE Transactions on Knowledge and Data Engineering · 429

Discriminative Frequent Pattern Analysis for Effective Classification

2007 · Hong Cheng, Xifeng Yan, et al. · Proceedings - International Conference on Data Engineering · 366

Constraint-based rule mining in large, dense databases

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

Compactly supported tight and sibling frames with maximum vanishing moments

2002 · Charles K. Chui, Wenjie He, et al. · Applied and Computational Harmonic Analysis · 274

Scalable parallel data mining for association rules

1997 · Eui-Hong Han, George Karypis, et al. · Proceedings - ACM-SIGMOD International Conference on Management of Data · 262

Bottom-up computation of sparse and Iceberg CUBE

1999 · Kevin Beyer, Raghu Ramakrishnan · Proceedings - ACM-SIGMOD International Conference on Management of Data · 244

Constraint-Based Rule Mining in Large, Dense Databases

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

Online association rule mining

1999 · Christian Hidber · ACM SIGMOD Record · 224

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Genetic algorithm-based strategy for identifying association rules without specifying actual minimum support

2008 · Xiaowei Yan, Chengqi Zhang, et al. · Expert Systems with Applications · 211

Discovering Periodic-Frequent Patterns in Transactional Databases

2009 · Syed Khairuzzaman Tanbeer, Chowdhury Farhan Ahmed, et al. · Lecture notes in computer science · 199

TreePi: A Novel Graph Indexing Method

2007 · Shijie Zhang, Meng Hu, et al. · Proceedings - International Conference on Data Engineering · 194

Lazy Associative Classification

2006 · Adriano Veloso, Wagner Meira, et al. · Proceedings · 175

An Improved Apriori Algorithm For Association Rules

2014 · Mohammed Al-Maolegi, Bassam Arkok · International Journal on Natural Language Computing · 173

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Mining frequent itemsets without support threshold: with and without item constraints

2004 · Yin-Ling Cheung, Ada Wai-Chee Fu · IEEE Transactions on Knowledge and Data Engineering · 140

Top Down FP-Growth for Association Rule Mining

2002 · Ke Wang, Liu Tang, et al. · Lecture notes in computer science · 137

Mining Frequent Itemsets Using Support Constraints

2000 · Ke Wang, Yu He, et al. · 134

TSP: mining top-K closed sequential patterns

2004 · P. Tzvetkov, X. Yan, et al. · Proceedings · 114

Online association rule mining

1999 · Christian Hidber · Proceedings - ACM-SIGMOD International Conference on Management of Data · 111

The Pre-FUFP algorithm for incremental mining

2008 · Chun-Wei Lin, Tzung-Pei Hong, et al. · Expert Systems with Applications · 109

On differentially private frequent itemset mining

2012 · Chen Zeng, Jeffrey F. Naughton, et al. · Proceedings of the VLDB Endowment · 104

Statistical grid-based clustering over data streams

2004 · Nam Hun Park, Won Suk Lee · ACM SIGMOD Record · 101

Works count: 1,101

Citation count: 17,680