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» Using Text Mining and Link Analysis for Software Mining
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KDD
2004
ACM
103views Data Mining» more  KDD 2004»
15 years 10 months ago
An objective evaluation criterion for clustering
We propose and test an objective criterion for evaluation of clustering performance: How well does a clustering algorithm run on unlabeled data aid a classification algorithm? The...
Arindam Banerjee, John Langford
CDVE
2007
Springer
165views Visualization» more  CDVE 2007»
15 years 4 months ago
Private Data Management in Collaborative Environments
Organizations are under increasing pressures to manage all of the personal data concerning their customers and employees in a responsible manner. With the advancement of informatio...
Larry Korba, Ronggong Song, George Yee, Andrew S. ...
WSDM
2012
ACM
300views Data Mining» more  WSDM 2012»
13 years 5 months ago
Adding semantics to microblog posts
Microblogs have become an important source of information for the purpose of marketing, intelligence, and reputation management. Streams of microblogs are of great value because o...
Edgar Meij, Wouter Weerkamp, Maarten de Rijke
KDD
2004
ACM
209views Data Mining» more  KDD 2004»
15 years 10 months ago
Tracking dynamics of topic trends using a finite mixture model
In a wide range of business areas dealing with text data streams, including CRM, knowledge management, and Web monitoring services, it is an important issue to discover topic tren...
Satoshi Morinaga, Kenji Yamanishi
CIKM
2009
Springer
15 years 4 months ago
Joint sentiment/topic model for sentiment analysis
Sentiment analysis or opinion mining aims to use automated tools to detect subjective information such as opinions, attitudes, and feelings expressed in text. This paper proposes ...
Chenghua Lin, Yulan He