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CSE
2009
IEEE
16 years 1 months ago
Web Science 2.0: Identifying Trends through Semantic Social Network Analysis
—We introduce a novel set of social network analysis based algorithms for mining the Web, blogs, and online forums to identify trends and find the people launching these new tren...
Peter A. Gloor, Jonas Krauss, Stefan Nann, Kai Fis...
ICDM
2008
IEEE
115views Data Mining» more  ICDM 2008»
16 years 1 months ago
Toward Faster Nonnegative Matrix Factorization: A New Algorithm and Comparisons
Nonnegative Matrix Factorization (NMF) is a dimension reduction method that has been widely used for various tasks including text mining, pattern analysis, clustering, and cancer ...
Jingu Kim, Haesun Park
ICDM
2008
IEEE
124views Data Mining» more  ICDM 2008»
16 years 1 months ago
Interactive Exploration of Model-Based Automatically Extracted Data
We present an interactive system to query, explore and navigate data according to a hierarchical knowledge model that had been automatically populated from unstructured textual da...
Anni Coden, Igor L. Sominsky, Michael A. Tanenblat...
ADMA
2008
Springer
240views Data Mining» more  ADMA 2008»
16 years 29 days ago
Automatic Web Tagging and Person Tagging Using Language Models
Abstract. Social bookmarking has become an important web2.0 application recently, which is concerned with the dual user behavior to search - tagging. Although social bookmarking we...
Qiaozhu Mei, Yi Zhang
ICDM
2006
IEEE
109views Data Mining» more  ICDM 2006»
16 years 20 days ago
Star-Structured High-Order Heterogeneous Data Co-clustering Based on Consistent Information Theory
Heterogeneous object co-clustering has become an important research topic in data mining. In early years of this research, people mainly worked on two types of heterogeneous data ...
Bin Gao, Tie-Yan Liu, Wei-Ying Ma