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DEEC
2006
IEEE
14 years 1 months ago
A Bottom-Up Workflow Mining Approach for Workflow Applications Analysis
Abstract. Engineering workflow applications are becoming more and more complex, involving numerous interacting business objects within considerable processes. Analysing the interac...
Walid Gaaloul, Karim Baïna, Claude Godart
SDM
2009
SIAM
160views Data Mining» more  SDM 2009»
14 years 7 months ago
Discovering Substantial Distinctions among Incremental Bi-Clusters.
A fundamental task of data analysis is comprehending what distinguishes clusters found within the data. We present the problem of mining distinguishing sets which seeks to find s...
Faris Alqadah, Raj Bhatnagar
AUSDM
2007
Springer
145views Data Mining» more  AUSDM 2007»
14 years 4 months ago
Discovering Frequent Sets from Data Streams with CPU Constraint
Data streams are usually generated in an online fashion characterized by huge volume, rapid unpredictable rates, and fast changing data characteristics. It has been hence recogniz...
Xuan Hong Dang, Wee Keong Ng, Kok-Leong Ong, Vince...
GECCO
2007
Springer
162views Optimization» more  GECCO 2007»
14 years 4 months ago
A multi-objective approach to discover biclusters in microarray data
The main motivation for using a multi–objective evolutionary algorithm for finding biclusters in gene expression data is motivated by the fact that when looking for biclusters ...
Federico Divina, Jesús S. Aguilar-Ruiz
TKDE
2011
186views more  TKDE 2011»
13 years 4 months ago
Discovering Activities to Recognize and Track in a Smart Environment
—The machine learning and pervasive sensing technologies found in smart homes offer unprecedented opportunities for providing health monitoring and assistance to individuals expe...
Parisa Rashidi, Diane J. Cook, Lawrence B. Holder,...