This book constitutes the refereed proceedings of the First European Symposium on Principles of Data Mining and Knowledge Discovery, PKDD '97, held in Trondheim, Norway, in June 1997. The volume presents a total of 38 revised full papers together with abstracts of one invited talk and four tutorials. Among the topics covered are data and knowledge representation, statistical and probabilistic methods, logic-based approaches, man-machine interaction aspects, AI contributions, high performance computing support, machine learning, automated scientific discovery, quality assessment, and applications.
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One of the objectives of a mutual fund investment company is to increase its value. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
rough set based analysis, frequent concept sets, bounded complexity measure, observational calculus, rough data models, analysed data matrix, observational calculi, generalization state space, average class entropy, decision tree constructing, share based measures, excluding associations, attribute evaluation functions, optimal refinement operator, certain reducts, respective attribute values, attribute selection methods, implicational quantifier, possible reducts, electric load curves, candidate predicates, rough set analysis, domain generalization graphs, generalised quantifier, temporal information system Key Phrases - Capitalized Phrases (CAPs): (learn more)
New York, Document Explorer, Department of Computer Science, Morgan Kaufmann, Bar-Ilan University, John Wiley, Proceedings of the Fourth International Workshop, Springer Verlag, Ellis Horwood, Kluwer Academic Publishers, Los Angeles, Sankt Augustin, Statistisches Bundesamt, Int'l Conf, Intelligent Decision Support, San Francisco, University of California, University of Essex, Academic Press, Elsevier Science Publishers, Inductive Logic Programming, Information Sciences, Jolt Headache, Lecture Notes, Menlo Park New!
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Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
One of the objectives of a mutual fund investment company is to increase its value. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
rough set based analysis, frequent concept sets, bounded complexity measure, observational calculus, rough data models, analysed data matrix, observational calculi, generalization state space, average class entropy, decision tree constructing, share based measures, excluding associations, attribute evaluation functions, optimal refinement operator, certain reducts, respective attribute values, attribute selection methods, implicational quantifier, possible reducts, electric load curves, candidate predicates, rough set analysis, domain generalization graphs, generalised quantifier, temporal information system Key Phrases - Capitalized Phrases (CAPs): (learn more)
New York, Document Explorer, Department of Computer Science, Morgan Kaufmann, Bar-Ilan University, John Wiley, Proceedings of the Fourth International Workshop, Springer Verlag, Ellis Horwood, Kluwer Academic Publishers, Los Angeles, Sankt Augustin, Statistisches Bundesamt, Int'l Conf, Intelligent Decision Support, San Francisco, University of California, University of Essex, Academic Press, Elsevier Science Publishers, Inductive Logic Programming, Information Sciences, Jolt Headache, Lecture Notes, Menlo Park New!
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Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Citations (learn more)
This book cites 64
books:
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1
book
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- Advances in Knowledge Discovery and Data Mining (American Association for Artificial Intelligence) by Usama M. Fayyad on 11 pages
- Knowledge Discovery in Databases (Aaai Press Copublications) by Gregory Piatetsky-Shapiro on 6 pages
- Classification and Regression Trees by Leo Breiman on 4 pages
- on 4 pages
- Cluster Analysis by Brian S. Everitt on page 66, page 199, and page 298
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- Management of Technology by R.M. Mason on page 511
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