Principal component analysis (PCA) has been extensively applied in data mining, pattern recognition and information retrieval for unsupervised dimensionality reduction. When label...
Shipeng Yu, Kai Yu, Volker Tresp, Hans-Peter Krieg...
Data Mining with Bayesian Network learning has two important characteristics: under broad conditions learned edges between variables correspond to causal influences, and second, f...
Ioannis Tsamardinos, Constantin F. Aliferis, Alexa...
Abstract. Contract-based property checkers hold the potential for precise, scalable, and incremental reasoning. However, it is difficult to apply such checkers to large program mod...
Shuvendu K. Lahiri, Shaz Qadeer, Juan P. Galeotti,...
Web mail providers rely on users to “vote” to quickly and collaboratively identify spam messages. Unfortunately, spammers have begun to use bots to control large collections o...
Anirudh Ramachandran, Anirban Dasgupta, Nick Feams...
Recent research on skyline queries has attracted much interest in the database and data mining community. Given a database, an object belongs to the skyline if it cannot be domina...
Cuiping Li, Anthony K. H. Tung, Wen Jin, Martin Es...