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PAKDD
2007
ACM
137views Data Mining» more  PAKDD 2007»
15 years 11 months ago
Contrast Set Mining Through Subgroup Discovery Applied to Brain Ischaemina Data
Abstract. Contrast set mining aims at finding differences between different groups. This paper shows that a contrast set mining task can be transformed to a subgroup discovery ta...
Petra Kralj, Nada Lavrac, Dragan Gamberger, Antoni...
SDM
2003
SIAM
174views Data Mining» more  SDM 2003»
15 years 6 months ago
STAMP: On Discovery of Statistically Important Pattern Repeats in Long Sequential Data
In this paper, we focus on mining periodic patterns allowing some degree of imperfection in the form of random replacement from a perfect periodic pattern. In InfoMiner+, we propo...
Jiong Yang, Wei Wang 0010, Philip S. Yu
ACMSE
2008
ACM
15 years 7 months ago
Mining frequent sequential patterns with first-occurrence forests
In this paper, a new pattern-growth algorithm is presented to mine frequent sequential patterns using First-Occurrence Forests (FOF). This algorithm uses a simple list of pointers...
Erich Allen Peterson, Peiyi Tang
KDD
2006
ACM
130views Data Mining» more  KDD 2006»
16 years 5 months ago
Mining relational data through correlation-based multiple view validation
Commercial relational databases currently store vast amounts of real-world data. The data within these relational repositories are represented by multiple relations, which are int...
Hongyu Guo, Herna L. Viktor
186
Voted
KDD
2002
ACM
1075views Data Mining» more  KDD 2002»
16 years 5 months ago
CLOPE: a fast and effective clustering algorithm for transactional data
This paper studies the problem of categorical data clustering, especially for transactional data characterized by high dimensionality and large volume. Starting from a heuristic m...
Yiling Yang, Xudong Guan, Jinyuan You