Data Mining 2010
Robert Stahlbock, Sven F. Crone, Stefan Lessmann (Eds.): Data Mining - Special Issue in Annals of Information Systems. Springer 2010 Annals of Information Systems 8 ISBN 978-1-4419-1279-4- Robert Stahlbock, Stefan Lessmann, Sven F. Crone: Data Mining and Information Systems: Quo Vadis? 1-15
- Christian M. Ringle, Marko Sarstedt, Erik A. Mooi: Response-Based Segmentation Using Finite Mixture Partial Least Squares - Theoretical Foundations and an Application to American Customer Satisfaction Index Data. 19-49
Part 2 / Knowledge discovery from supervised learning
- Yannick Le Bras, Philippe Lenca, Stéphane Lallich: Mining Interesting Rules Without Support Requirement: A General Universal Existential Upward Closure Property. 75-98
- Giovanni Felici, Bruno Simeone, Vincenzo Spinelli: Classification Techniques and Error Control in Logic Mining. 99-119
Part 3 / Classification analysis
- Tracy D. Lemmond, Barry Y. Chen, Andrew O. Hatch, William G. Hanley: An Extended Study of the Discriminant Random Forest. 123-146
- Süreyya Özögür-Akyüz, Zakria Hussain, John Shawe-Taylor: Prediction with the SVM Using Test Point Margins. 147-158
- Alexander Liu, Cheryl E. Martin, Brian La Cour, Joydeep Ghosh: Effects of Oversampling Versus Cost-Sensitive Learning for Bayesian and SVM Classifiers. 159-192
- Gary M. Weiss: The Impact of Small Disjuncts on Classifier Learning. 193-226
Part 4 / Hybrid data mining procedures
- Cristián J. Figueroa: Predicting Customer Loyalty Labels in a Large Retail Database: A Case Study in Chile. 229-253
- Leonidas Karamitopoulos, Georgios Evangelidis, Dimitrios Dervos: PCA-based Time Series Similarity Search. 255-276
- Arjan Gijsberts, Giorgio Metta, Léon J. M. Rothkrantz: Evolutionary Optimization of Least-Squares Support Vector Machines. 277-297
Part 5 / Web-mining
- Peter Géczy, Noriaki Izumi, Shotaro Akaho, Kôiti Hasida: Behaviorally Founded Recommendation Algorithm for Browsing Assistance Systems. 317-334
- Scott Ryan, Lutz Hamel: Using Web Text Mining to Predict Future Events: A Test of the Wisdom of Crowds Hypothesis. 335-350
Part 6 / Privacy-preserving data mining
- Traian Marius Truta, Alina Campan: Avoiding Attribute Disclosure with the (Extended) p-Sensitive k-Anonymity Model. 353-373
- Olvi L. Mangasarian, Edward W. Wild: Privacy-Preserving Random Kernel Classification of Checkerboard Partitioned Data. 375-387
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last updated on 2013-10-16T203152 by the dblp team