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» Discovering and Comparing Topic Hierarchies
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IV
2008
IEEE
296views Visualization» more  IV 2008»
15 years 6 months ago
Revealing Subnetwork Roles using Contextual Visualization: Comparison of Metabolic Networks
This article is addressing a recurrent problem in biology: mining newly built large scale networks. Our approach consists in comparing these new networks to well known ones. The v...
Romain Bourqui, Fabien Jourdan
WWW
2003
ACM
16 years 9 days ago
On labeling schemes for the semantic web
This paper focuses on the optimization of the navigation through voluminous subsumption hierarchies of topics employed by Portal Catalogs like Netscape Open Directory (ODP). We ad...
Vassilis Christophides, Dimitris Plexousakis, Mich...
ICMCS
2006
IEEE
129views Multimedia» more  ICMCS 2006»
15 years 5 months ago
Modeling Interactions from Email Communication
Email plays an important role as a medium for the spread of information, ideas, and influence among its users. We present a framework to learn topic-based interactions between pa...
Dong Zhang, Daniel Gatica-Perez, Deb Roy, Samy Ben...
ICDM
2006
IEEE
122views Data Mining» more  ICDM 2006»
15 years 5 months ago
Latent Friend Mining from Blog Data
The rapid growth of blog (also known as “weblog”) data provides a rich resource for social community mining. In this paper, we put forward a novel research problem of mining t...
Dou Shen, Jian-Tao Sun, Qiang Yang, Zheng Chen
INFORMATICASI
1998
122views more  INFORMATICASI 1998»
14 years 11 months ago
Experimental Evaluation of Three Partition Selection Criteria for Decision Table Decomposition
Decision table decomposition is a machine learning approach that decomposes a given decision table into an equivalent hierarchy of decision tables. The approach aims to discover d...
Blaz Zupan, Marko Bohanec