Sciweavers

161 search results - page 9 / 33
» Discovering Research Communities by Clustering Bibliographic...
Sort
View
ICDM
2007
IEEE
153views Data Mining» more  ICDM 2007»
14 years 2 months ago
HSN-PAM: Finding Hierarchical Probabilistic Groups from Large-Scale Networks
Real-world social networks are often hierarchical, reflecting the fact that some communities are composed of a few smaller, sub-communities. This paper describes a hierarchical B...
Haizheng Zhang, Wei Li, Xuerui Wang, C. Lee Giles,...
WSDM
2012
ACM
304views Data Mining» more  WSDM 2012»
12 years 3 months ago
Beyond co-occurrence: discovering and visualizing tag relationships from geo-spatial and temporal similarities
Studying relationships between keyword tags on social sharing websites has become a popular topic of research, both to improve tag suggestion systems and to discover connections b...
Haipeng Zhang, Mohammed Korayem, Erkang You, David...
PRIB
2009
Springer
100views Bioinformatics» more  PRIB 2009»
14 years 2 months ago
Evidence-Based Clustering of Reads and Taxonomic Analysis of Metagenomic Data
Abstract. The rapidly emerging field of metagenomics seeks to examine the genomic content of communities of organisms to understand their roles and interactions in an ecosystem. I...
Gianluigi Folino, Fabio Gori, Mike S. M. Jetten, E...
CSB
2005
IEEE
142views Bioinformatics» more  CSB 2005»
14 years 1 months ago
BioMap: Discovering Schema Mapping Using Ontologies
Biologists currently devote significant time and effort searching information for their research. The wide diversity in terminology used inhibit effective computerized and manual...
Zoé Lacroix, Sumedha Gholba, Hervé M...
ICDM
2010
IEEE
142views Data Mining» more  ICDM 2010»
13 years 6 months ago
Towards Community Discovery in Signed Collaborative Interaction Networks
Abstract--We propose a framework for discovery of collaborative community structure in Wiki-based knowledge repositories based on raw-content generation analysis. We leverage topic...
Petko Bogdanov, Nicholas D. Larusso, Ambuj K. Sing...