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Machine Learning and Its Applications

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Cover of 'Machine Learning and Its Applications'

Table of Contents

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    Book Overview
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    Chapter 1 Comparing Machine Learning and Knowledge Discovery in DataBases: An Application to Knowledge Discovery in Texts
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    Chapter 2 Learning Patterns in Noisy Data: The AQ Approach
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    Chapter 3 Unsupervised Learning of Probabilistic Concept Hierarchies
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    Chapter 4 Function Decomposition in Machine Learning
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    Chapter 5 How to Upgrade Propositional Learners to First Order Logic: A Case Study
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    Chapter 6 Case-Based Reasoning
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    Chapter 7 Genetic Algorithms in Machine Learning
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    Chapter 8 Pattern Recognition and Neural Networks
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    Chapter 9 Model Class Selection and Construction: Beyond the Procrustean Approach to Machine Learning Applications
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    Chapter 10 Integrated Architectures for Machine Learning
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    Chapter 11 The Computational Support of Scientic Discovery
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    Chapter 12 Support Vector Machines: Theory and Applications
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    Chapter 13 Pre- and Post-processing in Machine Learning and Data Mining
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    Chapter 14 Machine Learning in Human Language Technology
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    Chapter 15 Machine Learning for Intelligent Information Access
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    Chapter 16 Machine Learning and Intelligent Agents
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    Chapter 17 Machine Learning in User Modeling
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    Chapter 18 Data Mining in Economics, Finance, and Marketing
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    Chapter 19 Machine Learning in Medical Applications
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    Chapter 20 Machine Learning Applications to Power Systems
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    Chapter 21 Intelligent Techniques for Spatio-Temporal Data Analysis in Environmental Applications
Attention for Chapter 18: Data Mining in Economics, Finance, and Marketing
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Citations

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Chapter title
Data Mining in Economics, Finance, and Marketing
Chapter number 18
Book title
Machine Learning and Its Applications
Published by
Springer, Berlin, Heidelberg, July 1999
DOI 10.1007/3-540-44673-7_18
Book ISBNs
978-3-54-042490-1, 978-3-54-044673-6
Authors

Hans C. Jessen, Georgios Paliouras

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 1 10%
China 1 10%
Unknown 8 80%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 40%
Student > Master 2 20%
Professor 1 10%
Student > Ph. D. Student 1 10%
Unspecified 1 10%
Other 0 0%
Unknown 1 10%
Readers by discipline Count As %
Economics, Econometrics and Finance 4 40%
Unspecified 1 10%
Computer Science 1 10%
Business, Management and Accounting 1 10%
Unknown 3 30%