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ICDM
2009
IEEE
98views Data Mining» more  ICDM 2009»
15 years 4 months ago
Topic Distributions over Links on Web
—It is well known that Web users create links with different intentions. However, a key question, which is not well studied, is how to categorize the links and how to quantify th...
Jie Tang, Jing Zhang, Jeffrey Xu Yu, Zi Yang, Keke...
96
Voted
ICDM
2009
IEEE
183views Data Mining» more  ICDM 2009»
14 years 7 months ago
Multirelational Topic Models
In this paper we propose the multirelational topic model (MRTM) for multiple types of link modeling such as citation and coauthor links in document networks. In the citation networ...
Jia Zeng, William K. Cheung, Chun-hung Li, Jiming ...
VLDB
2005
ACM
196views Database» more  VLDB 2005»
15 years 3 months ago
Summarizing and Mining Inverse Distributions on Data Streams via Dynamic Inverse Sampling
Emerging data stream management systems approach the challenge of massive data distributions which arrive at high speeds while there is only small storage by summarizing and minin...
Graham Cormode, S. Muthukrishnan, Irina Rozenbaum
CIKM
2006
Springer
15 years 1 months ago
Concept frequency distribution in biomedical text summarization
Text summarization is a data reduction process. The use of text summarization enables users to reduce the amount of text that must be read while still assimilating the core inform...
Lawrence H. Reeve, Hyoil Han, Saya V. Nagori, Jona...
KDD
2010
ACM
218views Data Mining» more  KDD 2010»
15 years 1 months ago
Online multiscale dynamic topic models
We propose an online topic model for sequentially analyzing the time evolution of topics in document collections. Topics naturally evolve with multiple timescales. For example, so...
Tomoharu Iwata, Takeshi Yamada, Yasushi Sakurai, N...