Pruning and Summarizing the Discovered Associations (1999)

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by Bing Liu , Wynne Hsu , Yiming Ma
Citations:98 - 5 self

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Finding Interesting Rules From Large Data Sets – Yuelong Jiang, Yuelong Jiang
61 Detecting group differences: Mining contrast sets – Stephen D. Bay, Michael J. Pazzani - 2001
1 Adaptive-FP: An Efficient And Effective Method For Multi-Level Multi-Dimensional Frequent Pattern Mining – Runying Mao - 2001
27 Multi-Level Organization and Summarization of the Discovered Rules – Bing Liu, Minqing Hu, Wynne Hsu - 2000
5 On Characterization and Discovery of Minimal Unexpected Patterns in Data Mining Applications – Balaji Padmanabhan, Alexander Tuzhilin
4 Mining Unexpected Rules by Pushing User Dynamics – Ke Wang, Yuelong Jiang, Laks V.S. Lakshmanan - 2003
Expert-Driven Validation of Set-Based Data Mining Results – Alexander Tuzhilin, Ernest Davis, Gediminas Adomavicius, Gediminas Adomavicius - 2002
7 Pattern-Growth Methods for Frequent Pattern Mining – Jian Pei - 2002
10 On-Line Analytical Mining of Association Rules – Hua Zhu - 1998
5 Web for Data Mining: Organizing and Interpreting the Discovered Rules Using the Web – Yiming Ma, Bing Liu, Ching Kian Wong - 2000
14 Generating a condensed representation for association rules – Nicolas Pasquier, et al. - 2005
Techniques in Data Mining: Decision Trees Classification and Constraint-based Itemsets Mining – Yin-ling Cheung - 2001
30 Closed Set Based Discovery of Small Covers for Association Rules – Nicolas Pasquier, Yves Bastide, Rafik Taouil, Lotfi Lakhal - 1999
70 Optimization of Constrained Frequent Set Queries with 2-variable Constraints – Laks V. S. Lakshmanan, Raymond Ng, Jiawei Han, Alex Pang - 1999
Small is Beautiful: Discovering the Minimal Set of Unexpected Patterns – Balaji Padmanabhan The, Balaji Padmanabhan - 2000
Expert-Driven Validation of Rule-Based User Models in Personalization Applications – Gediminas Adomavicius Alexander, Alexander Tuzhilin - 2001
Visually Aided Exploration of Interesting Association Rules – Bing Liu Wynne, Bing Liu, Wynne Hsu, Ke Wang, Shu Chen - 1999
44 Knowledge discovery and interestingness measures: A survey – Robert J. Hilderman, Howard J. Hamilton - 1999
Exploration Mining in Diabetic Patients Databases: Findings and Conclusions – Wynne Hsu Mong, Wynne Hsu, Mong Li Lee, Bing Liu, Tok Wang Ling - 2000