Machine Learning and Its Applications Advanced Lectures

In recent years machine learning has made its way from artificial intelligence into areas of administration, commerce, and industry. Data mining is perhaps the most widely known demonstration of this migration, complemented by less publicized applications of machine learning like adaptive systems in...

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Bibliographic Details
Other Authors: Paliouras, Georgios (Editor), Karkaletsis, Vangelis (Editor), Spyropoulos, Constantine D. (Editor)
Format: eBook
Language:English
Published: Berlin, Heidelberg Springer Berlin Heidelberg 2001, 2001
Edition:1st ed. 2001
Series:Lecture Notes in Artificial Intelligence
Subjects:
Online Access:
Collection: Springer Book Archives -2004 - Collection details see MPG.ReNa
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100 1 |a Paliouras, Georgios  |e [editor] 
245 0 0 |a Machine Learning and Its Applications  |h Elektronische Ressource  |b Advanced Lectures  |c edited by Georgios Paliouras, Vangelis Karkaletsis, Constantine D. Spyropoulos 
250 |a 1st ed. 2001 
260 |a Berlin, Heidelberg  |b Springer Berlin Heidelberg  |c 2001, 2001 
300 |a VIII, 324 p  |b online resource 
505 0 |a Methods -- Comparing Machine Learning and Knowledge Discovery in DataBases: An Application to Knowledge Discovery in Texts -- Learning Patterns in Noisy Data: The AQ Approach -- Unsupervised Learning of Probabilistic Concept Hierarchies -- Function Decomposition in Machine Learning -- How to Upgrade Propositional Learners to First Order Logic: A Case Study -- Case-Based Reasoning -- Genetic Algorithms in Machine Learning -- Pattern Recognition and Neural Networks -- Model Class Selection and Construction: Beyond the Procrustean Approach to Machine Learning Applications -- Integrated Architectures for Machine Learning -- The Computational Support of Scientic Discovery -- Support Vector Machines: Theory and Applications -- Pre- and Post-processing in Machine Learning and Data Mining -- Machine Learning in Human Language Technology -- Machine Learning for Intelligent Information Access -- Machine Learning and Intelligent Agents -- Machine Learning in User Modeling -- Data Mining in Economics, Finance, and Marketing -- Machine Learning in Medical Applications -- Machine Learning Applications to Power Systems -- Intelligent Techniques for Spatio-Temporal Data Analysis in Environmental Applications 
653 |a User interfaces (Computer systems) 
653 |a Information Storage and Retrieval 
653 |a Artificial Intelligence 
653 |a Formal Languages and Automata Theory 
653 |a Database Management 
653 |a Information storage and retrieval systems 
653 |a Machine theory 
653 |a IT in Business 
653 |a Artificial intelligence 
653 |a User Interfaces and Human Computer Interaction 
653 |a Database management 
653 |a Business information services 
653 |a Human-computer interaction 
700 1 |a Karkaletsis, Vangelis  |e [editor] 
700 1 |a Spyropoulos, Constantine D.  |e [editor] 
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989 |b SBA  |a Springer Book Archives -2004 
490 0 |a Lecture Notes in Artificial Intelligence 
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520 |a In recent years machine learning has made its way from artificial intelligence into areas of administration, commerce, and industry. Data mining is perhaps the most widely known demonstration of this migration, complemented by less publicized applications of machine learning like adaptive systems in industry, financial prediction, medical diagnosis and the construction of user profiles for Web browsers. This book presents the capabilities of machine learning methods and ideas on how these methods could be used to solve real-world problems. The first ten chapters assess the current state of the art of machine learning, from symbolic concept learning and conceptual clustering to case-based reasoning, neural networks, and genetic algorithms. The second part introduces the reader to innovative applications of ML techniques in fields such as data mining, knowledge discovery, human language technology, user modeling, data analysis, discovery science, agent technology, finance, etc