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SAC
2005
ACM
15 years 5 months ago
Automatic extraction of informative blocks from webpages
Search engines crawl and index webpages depending upon their informative content. However, webpages — especially dynamically generated ones — contain items that cannot be clas...
Sandip Debnath, Prasenjit Mitra, C. Lee Giles
KDD
2009
ACM
178views Data Mining» more  KDD 2009»
16 years 12 days ago
Constrained optimization for validation-guided conditional random field learning
Conditional random fields(CRFs) are a class of undirected graphical models which have been widely used for classifying and labeling sequence data. The training of CRFs is typicall...
Minmin Chen, Yixin Chen, Michael R. Brent, Aaron E...
KDD
2007
ACM
191views Data Mining» more  KDD 2007»
16 years 8 days ago
Modeling relationships at multiple scales to improve accuracy of large recommender systems
The collaborative filtering approach to recommender systems predicts user preferences for products or services by learning past useritem relationships. In this work, we propose no...
Robert M. Bell, Yehuda Koren, Chris Volinsky
KDD
2007
ACM
202views Data Mining» more  KDD 2007»
16 years 8 days ago
Support feature machine for classification of abnormal brain activity
In this study, a novel multidimensional time series classification technique, namely support feature machine (SFM), is proposed. SFM is inspired by the optimization model of suppo...
Wanpracha Art Chaovalitwongse, Ya-Ju Fan, Rajesh C...
PKDD
2004
Springer
277views Data Mining» more  PKDD 2004»
15 years 5 months ago
Scalable Density-Based Distributed Clustering
Clustering has become an increasingly important task in analysing huge amounts of data. Traditional applications require that all data has to be located at the site where it is scr...
Eshref Januzaj, Hans-Peter Kriegel, Martin Pfeifle