Mathematical methods for knowledge discovery and data mining
Title:
Mathematical methods for knowledge discovery and data mining
Author:
Felici, Giovanni.
ISBN:
9781599045306
Publication Information:
Hershey, Pa. : IGI Global (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA), c2008.
Physical Description:
electronic texts (xxi, 369 p. : ill.) : digital files.
Contents:
1. Discretization of rational data / Jonathan Mugan, Klaus Truemper -- 2. Vector DNF for datasets classifications / Massimo Liquori, Andrea Scozzari -- 3. Reducing a class of machine learning algorithms to logical commonsense reasoning operations / Xenia Naidenova -- 4. The analysis of service quality through stated preference models and rule-based classification / Giovanni Felici, Valerio Gatta -- 5. Support vector machines for business applications / Brian Lovell, Christian Walder -- 6. Kernel width selection for SVM classification / Ali Smith, Kate Smith -- 7. Protein folding classification through multicategory discrete SVM / Carlotta Orsenigo, Carlo Vercellis -- 8. Hierarchical profiling, scoring, and applications in bioinformatics / Li Liao -- 9. Hierarchical clustering using evolutionary algorithms / Monica Chis -- 10. Exploratory time series data mining by genetic clustering / T. Liao -- 11. Development of control signatures with a hybrid data mining and genetic algorithm / Alex Burns, Shital Shah, Andrew Kusiak -- 12. Bayesian belief networks for data cleaning / Enrico Fagiuoli, Sara, Fabio Stella -- 13. A comparison of revision schemes for cleaning labeling noise / Chuck Lam, David Stork -- 14. Improving web clickstream analysis / Paolo Baldini, Paolo Giudici -- 15. Advanced data mining and visualization techniques with probabilistic principal surfaces / Antonino Staiano ... [et al.] -- 16. Spatial navigation assistance system for large virtual environments / Mehmed Kantardzic, Pedram Sadeghian, Walaa Sheta -- 17. Using grids for distributed knowledge discovery / Antonio Congiusta, Domenico Talia, Paolo Trunfio -- 18. Fuzzy Miner / Nikos Pelekis ... [et al.] -- 19. Routing attribute data mining based on Rough Set Theory / Yanbing Liu, Menghao Wang, Jong Tang.
Abstract:
"This book focuses on the mathematical models and methods that support most data mining applications and solution techniques, covering such topics as association rules; Bayesian methods; data visualization; kernel methods; neural networks; text, speech, and image recognition; an invaluable resource for scholars and practitioners in the fields of biomedicine, engineering, finance, manufacturing, marketing, performance measurement, and telecommunications"--Provided by publisher.
Added Corporate Author:
Electronic Access:
Chapter PDFs via platform: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-59904-528-3