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ORCIDData Mining 2010
- Robert Stahlbock, Sven F. Crone
, Stefan Lessmann:
Data Mining - Special Issue in Annals of Information Systems. Annals of Information Systems 8, Springer 2010, 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
- David Martens, Bart Baesens:
Building Acceptable Classification Models. 53-74 - 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 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 - Ulf Johansson, Rikard König, Lars Niklasson:
Genetically Evolved kNN Ensembles. 299-313
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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