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ICDM
2009
IEEE
171views Data Mining» more  ICDM 2009»
15 years 1 days ago
Hybrid Clustering by Integrating Text and Citation Based Graphs in Journal Database Analysis
We propose a hybrid clustering strategy by integrating heterogeneous information sources as graphs. The hybrid clustering method is extended on the basis of modularity based Louva...
Xinhai Liu, Shi Yu, Yves Moreau, Frizo A. L. Janss...
CVPR
2011
IEEE
14 years 6 months ago
Compact Hashing with Joint Optimization of Search Accuracy and Time
Similarity search, namely, finding approximate nearest neighborhoods, is the core of many large scale machine learning or vision applications. Recently, many research results dem...
Junfeng He, Regunathan Radhakrishnan, Shih-Fu Chan...
137
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CSCWD
2001
Springer
15 years 6 months ago
Modeling Workflow within Distributed Systems
Workflow management techniques are aiming at supporting business process across organization boundaries. Current techniques are lacking of the formalism tools to model and analyze...
Yuhong Yan, Alex Bejan
BMCBI
2007
134views more  BMCBI 2007»
15 years 2 months ago
A framework for significance analysis of gene expression data using dimension reduction methods
Background: The most popular methods for significance analysis on microarray data are well suited to find genes differentially expressed across predefined categories. However, ide...
Lars Halvor Gidskehaug, Endre Anderssen, Arnar Fla...
156
Voted
JIPS
2007
134views more  JIPS 2007»
15 years 2 months ago
An Efficient Functional Analysis Method for Micro-array Data Using Gene Ontology
: Microarray data includes tens of thousands of gene expressions simultaneously, so it can be effectively used in identifying the phenotypes of diseases. However, the retrieval of ...
Dong-wan Hong, Jong-keun Lee, Sung-soo Park, Sang-...