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» Towards parameter-free data mining
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SIGMOD
1998
ACM
99views Database» more  SIGMOD 1998»
13 years 11 months ago
CURE: An Efficient Clustering Algorithm for Large Databases
Clustering, in data mining, is useful for discovering groups and identifying interesting distributions in the underlying data. Traditional clustering algorithms either favor clust...
Sudipto Guha, Rajeev Rastogi, Kyuseok Shim
ELPUB
2007
ACM
13 years 11 months ago
Automatic Sentiment Analysis in On-line Text
The growing stream of content placed on the Web provides a huge collection of textual resources. People share their experiences on-line, ventilate their opinions (and frustrations...
Erik Boiy, Pieter Hens, Koen Deschacht, Marie-Fran...
DSS
2007
96views more  DSS 2007»
13 years 7 months ago
Factors relating to the decision to click on a sponsored link
In this paper, we report results of an investigation into the factors influencing the selection of sponsored links by e-commerce Web searchers. In this research, 56 participants e...
Bernard J. Jansen, Anna Brown, Marc Resnick
ESWS
2010
Springer
13 years 6 months ago
The Semantic Gap of Formalized Meaning
Recent work in Ontology learning and Text mining has mainly focused on engineering methods to solve practical problem. In this thesis, we investigate methods that can substantially...
Sebastian Hellmann
WWW
2011
ACM
13 years 1 months ago
Automatic construction of a context-aware sentiment lexicon: an optimization approach
The explosion of Web opinion data has made essential the need for automatic tools to analyze and understand people’s sentiments toward different topics. In most sentiment analy...
Yue Lu, Malú Castellanos, Umeshwar Dayal, C...