Discovering significant patterns (2007)

by Geoffrey I. Webb
Citations:41 - 3 self

Active Bibliography

Draft – Geoffrey I. Webb - 2005
5 Self-Sufficient Itemsets: An Approach to Screening Potentially Interesting Associations Between Items – Geoffrey I. Webb
4 Statistically Sound Exploratory Rule Discovery – Geoffrey I. Webb
Technical Note: Layered Critical Values: A Powerful Direct-Adjustment Approach to Discovering Significant Patterns – Geoffrey I. Webb - 2008
iii MINING PREDICTIVE PATTERNS AND EXTENSION TO MULTIVARIATE TEMPORAL DATA – Iyad Batal, Iyad Batal Phd - 2012
Finding Interesting Rules From Large Data Sets – Yuelong Jiang, Yuelong Jiang
4 Direct Interesting Rule Generation – Jiuyong Li, et al.
2 Formal and Computational Properties of the Confidence Boost in Association Rules ∗ – José L Balcázar - 2010
By – Mondelle Simeon - 2012
9 Mining the Smallest Association Rule Set for Predictions – Jiuyong Li , Hong Shen, Rodney Topor - 2001
4 Beyond Association Rules: Generalized Rule Discovery – Geoffrey I. Webb, Songmao Zhang
To appear in Knowledge and Information Systems (pre-publication – Wilhelmiina Hämäläinen
78 Detecting group differences: Mining contrast sets – Stephen D. Bay, Michael J. Pazzani - 2001
Under consideration for publication in Knowledge and Information Systems Maximum Entropy Based Significance of – Nikolaj Tatti
REGULAR PAPER Maximum entropy based significance of itemsets – Nikolaj Tatti - 2007
14 Inductive databases and multiple uses of frequent itemsets: the cInQ approach – Jean-françois Boulicaut - 2004
1 A Concise Representation of Association Rules using Minimal Predictive Rules ⋆ – Iyad Batal, Milos Hauskrecht
3 Efficient Mining of Association Rules Based on Formal Concept Analysis – Lotfi Lakhal, Gerd Stumme - 2005
11 A Survey on Algorithms for Mining Frequent Itemsets over Data Streams – James Cheng, Yiping Ke, Wilfred Ng