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Mathematical methods for knowledge discovery and data mining
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Mathematical methods for knowledge discovery and data mining

Author: Giovanni Felici; Carlo Vercellis
Publisher: Hershey : Information Science Reference, ©2008.
Edition/Format:  eBook : EnglishView all editions and formats
Summary:
"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,  Read more...
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Genre/Form: Electronic book collection
Additional Physical Format: Online version:
Mathematical methods for knowledge discovery and data mining.
Hershey : Information Science Reference, c2008
(OCoLC)652337632
Material Type: Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Giovanni Felici; Carlo Vercellis
ISBN: 9781599045283 1599045281 9781599045306 1599045303
OCLC Number: 137305912
Notes: "Premier reference source"--Cover.
Description: 1 online resource (xxi, 369 p.) : ill.
Contents: Discretization of rational data / Jonathan Mugan, Klaus Truemper --
Vector DNF for datasets classification: application to the financial timing decision problem / Massimo Liquori, Andrea Scozzari --
Reducing a class of machine learning algorithms to logical commonsense reasoning operations / Xenia Naidenova --
The analysis of service quality through stated preference models and rule-based classification / Giovanni Felici, Valerio Gatta --
Support vector machines for business applications / Brian C. Lovell, Christian J. Walder --
Kernel width selection for SVM classification: A meta-learning approach / Shawkat Ali, Kate A. Smith --
Protein folding classification through multicategory discrete SVM / Carlotta Orsenigo, Carlo Vercellis --
Hierarchical profiling, scoring and applications in bioinformatics / Li Liao --
Hierarchical clustering using evolutionary algorithms / Monica Chiş --
Exploratory time series data mining by genetic clustering / T. Warren Liao --
Development of control signatures with a hybrid data mining and genetic algorithm approach Alex Burns, Shital Shah, and Andrew Kusiak --
Bayesian belief networks for data cleaning / Enrico Fagiuoli, Sara Omerino, Fabio Stella --
A comparison of revision schemes for cleaning labeling noise / Chuck P. Lam, David G. Stork --
Improving web clickstream analysis: Markov chains models and Genmax algorithms / Paolo Baldini, Paolo Giudici --
Advanced data mining and visualization techniques with probabilistic principal surfaces: application to astronomy and genetics / Antonino Staiano ... [et al.] --
Spatial navigation assistance system for large virtual environments: the data mining approach / Mehmed Kantardzic, Pedram Sadeghian, Walaa M. Sheta --
Using grids for distributed knowledge discovery / Antonio Congiusta, Domenico Talia, Paolo Trunfio Fuzzy miner: extracting fuzzy rules from numerical patterns / Nikos Pelekis ... [et al.] --Routing attribute data mining based on rough set theory / Yanbing Liu, Menghao Wang, Hong Tang.
Responsibility: [edited by] Giovanni Felici, Carlo Vercellis.
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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.

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