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Holmes, Dawn E.

Data Mining: Foundations and Intelligent Paradigms

Holmes, Dawn E. - Data Mining: Foundations and Intelligent Paradigms, ebook

132,70€

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ISBN: 9783642232411
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Table of contents

1. Advanced Modelling Paradigms in Data Mining
Dawn E. Holmes, Jeffrey Tweedale, Lakhmi C. Jain

2. Data Mining with Multilayer Perceptrons and Support Vector Machines
Paulo Cortez

3. Regulatory Networks under Ellipsoidal Uncertainty – Data Analysis and Prediction by Optimization Theory and Dynamical Systems
Erik Kropat, Gerhard-Wilhelm Weber, Chandra Sekhar Pedamallu

4. A Visual Environment for Designing and Running Data Mining Workflows in the Knowledge Grid
Eugenio Cesario, Marco Lackovic, Domenico Talia, Paolo Trunfio

5. Formal Framework for the Study of Algorithmic Properties of Objective Interestingness Measures
Yannick Bras, Philippe Lenca, Stéphane Lallich

6. Nonnegative Matrix Factorization: Models, Algorithms and Applications
Zhong-Yuan Zhang

7. Visual Data Mining and Discovery with Binarized Vectors
Boris Kovalerchuk, Florian Delizy, Logan Riggs, Evgenii Vityaev

8. A New Approach and Its Applications for Time Series Analysis and Prediction Based on Moving Average of n

th
-Order Difference
Yang Lan, Daniel Neagu

9. Exceptional Model Mining
Arno Knobbe, Ad Feelders, Dennis Leman

10. Online ChiMerge Algorithm
Petri Lehtinen, Matti Saarela, Tapio Elomaa

11. Mining Chains of Relations
Foto Aftrati, Gautam Das, Aristides Gionis, Heikki Mannila, Taneli Mielikäinen, Panayiotis Tsaparas

Keywords: Engineering, Computational Intelligence, Artificial Intelligence (incl. Robotics), Health Informatics

Author(s)
 
Publisher
Springer
Publication year
2012
Language
en
Edition
1
Series
Intelligent Systems Reference Library
Category
Technology, Energy, Traffic
Format
Ebook
eISBN (PDF)
9783642232411

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