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KDD
2001
ACM
163views Data Mining» more  KDD 2001»
16 years 8 days ago
The "DGX" distribution for mining massive, skewed data
Skewed distributions appear very often in practice. Unfortunately, the traditional Zipf distribution often fails to model them well. In this paper, we propose a new probability di...
Zhiqiang Bi, Christos Faloutsos, Flip Korn
BMCBI
2007
166views more  BMCBI 2007»
14 years 12 months ago
PathFinder: mining signal transduction pathway segments from protein-protein interaction networks
Background: A Signal transduction pathway is the chain of processes by which a cell converts an extracellular signal into a response. In most unicellular organisms, the number of ...
Gürkan Bebek, Jiong Yang
JCP
2006
139views more  JCP 2006»
14 years 12 months ago
Generalized Sequential Pattern Mining with Item Intervals
Sequential pattern mining is an important data mining method with broad applications that can extract frequent sequences while maintaining their order. However, it is important to ...
Yu Hirate, Hayato Yamana
PKDD
2001
Springer
114views Data Mining» more  PKDD 2001»
15 years 4 months ago
A Study on the Hierarchical Data Clustering Algorithm Based on Gravity Theory
This paper discusses the clustering quality and complexities of the hierarchical data clustering algorithm based on gravity theory. The gravitybased clustering algorithm simulates ...
Yen-Jen Oyang, Chien-Yu Chen, Tsui-Wei Yang
BPM
2009
Springer
175views Business» more  BPM 2009»
15 years 6 months ago
Understanding Spaghetti Models with Sequence Clustering for ProM
The goal of process mining is to discover process models from event logs. However, for processes that are not well structured and have a lot of diverse behavior, existing process m...
Gabriel M. Veiga, Diogo R. Ferreira