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KDD
2007
ACM
144views Data Mining» more  KDD 2007»
14 years 8 months ago
Fast direction-aware proximity for graph mining
In this paper we study asymmetric proximity measures on directed graphs, which quantify the relationships between two nodes or two groups of nodes. The measures are useful in seve...
Hanghang Tong, Christos Faloutsos, Yehuda Koren
KDD
2007
ACM
167views Data Mining» more  KDD 2007»
14 years 8 months ago
Multiscale topic tomography
Modeling the evolution of topics with time is of great value in automatic summarization and analysis of large document collections. In this work, we propose a new probabilistic gr...
Ramesh Nallapati, Susan Ditmore, John D. Lafferty,...
KDD
2005
ACM
124views Data Mining» more  KDD 2005»
14 years 8 months ago
Scalable discovery of hidden emails from large folders
The popularity of email has triggered researchers to look for ways to help users better organize the enormous amount of information stored in their email folders. One challenge th...
Giuseppe Carenini, Raymond T. Ng, Xiaodong Zhou
SIGMOD
2008
ACM
150views Database» more  SIGMOD 2008»
14 years 7 months ago
Query biased snippet generation in XML search
Snippets are used by almost every text search engine to complement ranking scheme in order to effectively handle user searches, which are inherently ambiguous and whose relevance ...
Yu Huang, Ziyang Liu, Yi Chen
CORR
2008
Springer
61views Education» more  CORR 2008»
13 years 7 months ago
Science mapping with asymmetrical paradigmatic proximity
We propose a series of methods to represent the evolution of a field of science at different levels: namely micro, meso and macro levels. We use a previously introduced asymmetric...
Jean-Philippe Cointet, David Chavalarias