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SAC
2006
ACM
14 years 3 months ago
A probability analysis for candidate-based frequent itemset algorithms
This paper explores the generation of candidates, which is an important step in frequent itemset mining algorithms, from a theoretical point of view. Important notions in our prob...
Nele Dexters, Paul W. Purdom, Dirk Van Gucht
DMIN
2006
132views Data Mining» more  DMIN 2006»
13 years 11 months ago
An Overview of Associative Classifiers
Abstract-- Associative classification is a new classification approach integrating association mining and classification. It becomes a significant tool for knowledge discovery and ...
Yanmin Sun, Andrew K. C. Wong, Yang Wang 0007
KDD
2009
ACM
245views Data Mining» more  KDD 2009»
14 years 10 months ago
Mining rich session context to improve web search
User browsing information, particularly their non-search related activity, reveals important contextual information on the preferences and the intent of web users. In this paper, ...
Guangyu Zhu, Gilad Mishne
KDD
2010
ACM
253views Data Mining» more  KDD 2010»
14 years 1 months ago
Mining periodic behaviors for moving objects
Periodicity is a frequently happening phenomenon for moving objects. Finding periodic behaviors is essential to understanding object movements. However, periodic behaviors could b...
Zhenhui Li, Bolin Ding, Jiawei Han, Roland Kays, P...
CGF
2010
111views more  CGF 2010»
13 years 9 months ago
Estimation and Modeling of Actual Numerical Errors in Volume Rendering
In this paper we study the comprehensive effects on volume rendered images due to numerical errors caused by the use of finite precision for data representation and processing. To...
Joel Kronander, Jonas Unger, Torsten Möller, ...