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PAKDD
1999
ACM
87views Data Mining» more  PAKDD 1999»
15 years 11 months ago
On Information-Theoretic Measures of Attribute Importance
Abstract. An attribute is deemed important in data mining if it partitions the database such that previously unknown regularities are observable. Many information-theoretic measure...
Yiyu Yao, S. K. Michael Wong, Cory J. Butz
AICCSA
2008
IEEE
292views Hardware» more  AICCSA 2008»
16 years 1 months ago
Enumeration of maximal clique for mining spatial co-location patterns
This paper presents a systematic approach to mine colocation patterns in Sloan Digital Sky Survey (SDSS) data. SDSS Data Release 5 (DR5) contains 3.6 TB of data. Availability of s...
Ghazi Al-Naymat
IPPS
2006
IEEE
16 years 26 days ago
Design and analysis of a multi-dimensional data sampling service for large scale data analysis applications
Sampling is a widely used technique to increase efficiency in database and data mining applications operating on large dataset. In this paper we present a scalable sampling imple...
Xi Zhang, Tahsin M. Kurç, Joel H. Saltz, Sr...
KDD
2008
ACM
146views Data Mining» more  KDD 2008»
16 years 7 months ago
Constraint programming for itemset mining
The relationship between constraint-based mining and constraint programming is explored by showing how the typical constraints used in pattern mining can be formulated for use in ...
Luc De Raedt, Tias Guns, Siegfried Nijssen
ADBIS
2001
Springer
115views Database» more  ADBIS 2001»
15 years 11 months ago
Interactive Constraint-Based Sequential Pattern Mining
Data mining is an interactive and iterative process. It is very likely that a user will execute a series of similar queries differing in pattern constraints and mining parameters,...
Marek Wojciechowski