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» Evaluation of clustering algorithms for gene expression data
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WIDM
2004
ACM
15 years 12 months ago
Web personalization based on static information and dynamic user behavior
The explosive growth of the web is at the basis of the great interest into web usage mining techniques in both commercial and research areas. In this paper, a web personalization ...
Massimiliano Albanese, Antonio Picariello, Carlo S...
SDM
2009
SIAM
223views Data Mining» more  SDM 2009»
16 years 3 months ago
Context Aware Trace Clustering: Towards Improving Process Mining Results.
Process Mining refers to the extraction of process models from event logs. Real-life processes tend to be less structured and more flexible. Traditional process mining algorithms...
R. P. Jagadeesh Chandra Bose, Wil M. P. van der Aa...
KAIS
2006
110views more  KAIS 2006»
15 years 6 months ago
Multi-step density-based clustering
Abstract. Data mining in large databases of complex objects from scientific, engineering or multimedia applications is getting more and more important. In many areas, complex dista...
Stefan Brecheisen, Hans-Peter Kriegel, Martin Pfei...
ICC
2007
IEEE
177views Communications» more  ICC 2007»
16 years 25 days ago
An Energy-Aware Protocol for Data Gathering Applications in Wireless Sensor Networks
—Data gathering is a major function of many applications in wireless sensor networks (WSNs). The most important issue in designing a data gathering algorithm is how to save energ...
Ming Liu, Yuan Zheng, Jiannong Cao, Guihai Chen, L...
AI
2010
Springer
15 years 1 months ago
Annotation Concept Synthesis and Enrichment Analysis
Annotation Enrichment Analysis (AEA) is a widely used analytical approach to process data generated by high-throughput genomic and proteomic experiments such as gene expression mic...
Mikhail Jiline, Stan Matwin, Marcel Turcotte