Machine Learning and Data Mining (inbunden)
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Format
Inbunden (Hardback)
Språk
Engelska
Antal sidor
472
Utgivningsdatum
1998-01-01
Upplaga
1
Förlag
John Wiley & Sons Inc
Medarbetare
Michalski
Illustrationer
Ill.
Dimensioner
242 x 165 x 34 mm
Vikt
817 g
Antal komponenter
1
Komponenter
69:B&W 6.69 x 9.61 in or 244 x 170 mm (Pinched Crown) Case Laminate on White w/Gloss Lam
SAB
Pud
ISBN
9780471971993

Machine Learning and Data Mining

Methods and Applications

Inbunden,  Engelska, 1998-01-01
1623
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Master the new computational tools to get the most out of your information system. This practical guide, the first to clearly outline the situation for the benefit of engineers and scientists, provides a straightforward introduction to basic machine learning and data mining methods, covering the analysis of numerical, text, and sound data.

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Övrig information

Ryszard S. Michalski was a Polish-American computer scientist. Michalski was Professor at George Mason University and a pioneer in the field of machine learning. Ivan Bratko is the editor of Machine Learning and Data Mining: Methods and Applications, published by Wiley.

Innehållsförteckning

GENERAL TOPICS. A Review of Machine Learning Methods (M. Kubat, et al.). Data Mining and Knowledge Discovery: A Review of Issues and Multistrategy Approach (R. Michalski & K. Kaufman). Fielded Applications of Machine Learning (P. Langley & H. Simon). Applications of Inductive Logic Programming (I. Bratko, et al.). DESIGN AND ENGINEERING. Application of Machine Learning in Finite Element Computation (B. Dolsak, et al.). Application of Inductive Learning and Case-Based Reasoning for Troubleshooting Industrial Machines (M. Manago & E. Auriol). Empirical Assembly Sequence Planning: A Multistrategy Constructive learning Approach (H. Ko). Inductive Learning in Design: A Method and Case Study Concerning Design of Antifriction Bearing Systems (W. Moczulski). DETECTION OF PATTERNS IN TEXTS, IMAGES AND MUSIC. Finding Associations in Collections of Text (R. Feldman & H. Hirsh). Learning Patterns in Images (R. Michalski, et al.). Applications of Machine Learning to Music Research: Empirical Investigations into the Phenomenon of Musical Expression (G. Widmer). COMPUTER SYSTEMS AND CONTROL SYSTEMS. WebWatcher: A Learning Apprentice for the World Wide Web (R. Armstrong, et al.). Biologically Inspired Defences Against Computer Viruses (J. Kephart, et al.). Behavioural Cloning of Control Skill (I. Bratko, et al.). Acquiring First-order Knowledge About Air Traffic Control (Y. Kodratoff & C. Vrain). MEDICINE AND BIOLOGY. Application of Machine Learning to Medical Diagnosis (I. Kononenko, et al.). Learning to Classify Biomedical Signals (M. Kubat, et al.). Machine Learning Applications in Biological Classification of River Water Quality (S. Dzeroski, et al.). Index.