Sciweavers

222 search results - page 24 / 45
» A General Approach to Mining Quality Pattern-Based Clusters ...
Sort
View
BMCBI
2011
12 years 11 months ago
MINE: Module Identification in NEtworks
Background: Graphical models of network associations are useful for both visualizing and integrating multiple types of association data. Identifying modules, or groups of function...
Kahn Rhrissorrakrai, Kristin C. Gunsalus
JCST
2008
124views more  JCST 2008»
13 years 7 months ago
Clustering by Pattern Similarity
The task of clustering is to identify classes of similar objects among a set of objects. The definition of similarity varies from one clustering model to another. However, in most ...
Haixun Wang, Jian Pei
BPM
2009
Springer
258views Business» more  BPM 2009»
14 years 2 months ago
Activity Mining by Global Trace Segmentation
Process Mining is a technology for extracting non-trivial and useful information from execution logs. For example, there are many process mining techniques to automatically discove...
Christian W. Günther, Anne Rozinat, Wil M. P....
SIGIR
2003
ACM
14 years 27 days ago
ReCoM: reinforcement clustering of multi-type interrelated data objects
Most existing clustering algorithms cluster highly related data objects such as Web pages and Web users separately. The interrelation among different types of data objects is eith...
Jidong Wang, Hua-Jun Zeng, Zheng Chen, Hongjun Lu,...
ICDM
2006
IEEE
145views Data Mining» more  ICDM 2006»
14 years 1 months ago
Stability Region Based Expectation Maximization for Model-based Clustering
In spite of the initialization problem, the ExpectationMaximization (EM) algorithm is widely used for estimating the parameters in several data mining related tasks. Most popular ...
Chandan K. Reddy, Hsiao-Dong Chiang, Bala Rajaratn...