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- catalog abstract "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.".
- catalog contributor b12406734.
- catalog contributor b12406735.
- catalog contributor b12406736.
- catalog created "c2001.".
- catalog date "2001".
- catalog date "c2001.".
- catalog dateCopyrighted "c2001.".
- catalog description "Comparing Machine Learning and Knowledge Discovery in DataBase: An Application to Knowledge Discovery in Texts / Yves Kodratoff -- Learning Patterns in Noisy Data: The AQ Approach / Ryszard S. Michalski and Kenneth A. Kaufman -- Unsupervised Learning of Probabilistic Concept Hierarchies / Wayne Iba and Pat Langley -- Function Decomposition in Machine Learning / Blaz Zupan, Ivan Bratko and Marko Bohanec / [and others] -- How to Upgrade Propositional Learners to First Order Logic: A Case Study / Wim Van Laer and Luc De Raedt -- Case-Based Reasoning / Ramon Lopez de Mantaras -- Genetic Algorithms in Machine Learning / Jonathan Shapiro -- Pattern Recognition and Neural Networks / Sergios Theodoridis and Konstantinos Koutroumbas.".
- catalog description "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.".
- catalog description "Includes bibliographical references and index.".
- catalog extent "viii, 324 p. :".
- catalog identifier "3540424903 (pbk. : alk. paper)".
- catalog isPartOf "Lecture notes in computer science ; 2049. Lecture notes in artificial intelligence".
- catalog isPartOf "Lecture notes in computer science ; 2049.".
- catalog isPartOf "Lecture notes in computer science. Lecture notes in artificial intelligence.".
- catalog issued "2001".
- catalog issued "c2001.".
- catalog language "eng".
- catalog publisher "Berlin ; New York : Springer,".
- catalog subject "006.3/1 21".
- catalog subject "Artificial intelligence.".
- catalog subject "Computer science.".
- catalog subject "Database management.".
- catalog subject "Information storage and retrieval systems.".
- catalog subject "Machine learning.".
- catalog subject "Management information systems.".
- catalog subject "QA325.5 .M33 2001".
- catalog tableOfContents "Comparing Machine Learning and Knowledge Discovery in DataBase: An Application to Knowledge Discovery in Texts / Yves Kodratoff -- Learning Patterns in Noisy Data: The AQ Approach / Ryszard S. Michalski and Kenneth A. Kaufman -- Unsupervised Learning of Probabilistic Concept Hierarchies / Wayne Iba and Pat Langley -- Function Decomposition in Machine Learning / Blaz Zupan, Ivan Bratko and Marko Bohanec / [and others] -- How to Upgrade Propositional Learners to First Order Logic: A Case Study / Wim Van Laer and Luc De Raedt -- Case-Based Reasoning / Ramon Lopez de Mantaras -- Genetic Algorithms in Machine Learning / Jonathan Shapiro -- Pattern Recognition and Neural Networks / Sergios Theodoridis and Konstantinos Koutroumbas.".
- catalog title "Machine learning and its applications : advanced lectures / Georgios Paliouras, Vangelis Karkaletsis, Constantine D. Spyropoulos (eds.).".
- catalog type "Kongress. swd".
- catalog type "text".