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KDD
2004
ACM
145views Data Mining» more  KDD 2004»
14 years 1 months ago
A graph-theoretic approach to extract storylines from search results
We present a graph-theoretic approach to discover storylines from search results. Storylines are windows that offer glimpses into interesting themes latent among the top search re...
Ravi Kumar, Uma Mahadevan, D. Sivakumar
KDD
2002
ACM
148views Data Mining» more  KDD 2002»
14 years 8 months ago
Discovering informative content blocks from Web documents
In this paper, we propose a new approach to discover informative contents from a set of tabular documents (or Web pages) of a Web site. Our system, InfoDiscoverer, first partition...
Shian-Hua Lin, Jan-Ming Ho
MM
2006
ACM
217views Multimedia» more  MM 2006»
14 years 1 months ago
IGroup: a web image search engine with semantic clustering of search results
In this demo, we present IGroup, a Web image search engine that organizes the search results into semantic clusters. Different from all existing Web image search results clusterin...
Feng Jing, Changhu Wang, Yuhuan Yao, Kefeng Deng, ...
HT
2005
ACM
14 years 1 months ago
As we may perceive: inferring logical documents from hypertext
In recent years, many algorithms for the Web have been developed that work with information units distinct from individual web pages. These include segments of web pages or aggreg...
Pavel Dmitriev, Carl Lagoze, Boris Suchkov
KDD
2007
ACM
237views Data Mining» more  KDD 2007»
14 years 8 months ago
Knowledge discovery of multiple-topic document using parametric mixture model with dirichlet prior
Documents, such as those seen on Wikipedia and Folksonomy, have tended to be assigned with multiple topics as a meta-data. Therefore, it is more and more important to analyze a re...
Issei Sato, Hiroshi Nakagawa