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KDD
2004
ACM
148views Data Mining» more  KDD 2004»
16 years 7 months ago
Interestingness of frequent itemsets using Bayesian networks as background knowledge
The paper presents a method for pruning frequent itemsets based on background knowledge represented by a Bayesian network. The interestingness of an itemset is defined as the abso...
Szymon Jaroszewicz, Dan A. Simovici
KDD
2004
ACM
160views Data Mining» more  KDD 2004»
16 years 7 months ago
Boosting for Text Classification with Semantic Features
Abstract. Current text classification systems typically use term stems for representing document content. Semantic Web technologies allow the usage of features on a higher semantic...
Stephan Bloehdorn, Andreas Hotho
KDD
2002
ACM
189views Data Mining» more  KDD 2002»
16 years 7 months ago
Sequential PAttern mining using a bitmap representation
We introduce a new algorithm for mining sequential patterns. Our algorithm is especially efficient when the sequential patterns in the database are very long. We introduce a novel...
Jay Ayres, Jason Flannick, Johannes Gehrke, Tomi Y...
KDD
2002
ACM
187views Data Mining» more  KDD 2002»
16 years 7 months ago
Transforming classifier scores into accurate multiclass probability estimates
Class membership probability estimates are important for many applications of data mining in which classification outputs are combined with other sources of information for decisi...
Bianca Zadrozny, Charles Elkan
CHI
2004
ACM
16 years 7 months ago
Release, relocate, reorient, resize: fluid techniques for document sharing on multi-user interactive tables
Group work frequently involves transitions between periods of active collaboration and periods of individual activity. We aim to support this typical work practice by introducing ...
Chia Shen, Clifton Forlines, Frédéri...