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» Classes and clusters in data analysis
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ISCA
1998
IEEE
126views Hardware» more  ISCA 1998»
15 years 10 months ago
Switcherland: A QoS Communication Architecture for Workstation Clusters
Computer systems have become powerful enough to process continuous data streams such as video or animated graphics. While processing power and communication bandwidth of today...
Hans Eberle, Erwin Oertli
SIGIR
2012
ACM
13 years 8 months ago
Mining query subtopics from search log data
Most queries in web search are ambiguous and multifaceted. Identifying the major senses and facets of queries from search log data, referred to as query subtopic mining in this pa...
Yunhua Hu, Ya-nan Qian, Hang Li, Daxin Jiang, Jian...
ISMB
2000
15 years 7 months ago
Integrative Analysis of Protein Interaction Data
We have developed a method for the integrative analysis of protein interaction data. It comprises clustering, visualization and data integration components. The method is generall...
Matthias Fellenberg, Kaj Albermann, Alfred Zollner...
BMCBI
2007
126views more  BMCBI 2007»
15 years 6 months ago
Including probe-level uncertainty in model-based gene expression clustering
Background: Clustering is an important analysis performed on microarray gene expression data since it groups genes which have similar expression patterns and enables the explorati...
Xuejun Liu, Kevin K. Lin, Bogi Andersen, Magnus Ra...
INCDM
2010
Springer
208views Data Mining» more  INCDM 2010»
15 years 7 months ago
Combining Unsupervised and Supervised Data Mining Techniques for Conducting Customer Portfolio Analysis
Abstract. Leveraging the power of increasing amounts of data to analyze customer base for attracting and retaining the most valuable customers is a major problem facing companies i...
Zhiyuan Yao, Annika H. Holmbom, Tomas Eklund, Barb...