Soft Computing for Knowledge Discovery and Data Mining
(Sprache: Englisch)
This book introduces soft computing methods extending the envelope of problems that data mining can solve efficiently. It presents practical soft-computing approaches in data mining and includes various real-world case studies with detailed results.
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This book introduces soft computing methods extending the envelope of problems that data mining can solve efficiently. It presents practical soft-computing approaches in data mining and includes various real-world case studies with detailed results.
Klappentext zu „Soft Computing for Knowledge Discovery and Data Mining “
Data Mining is the science and technology of exploring large and complex bodies of data in order to discover useful patterns. It is extremely important because it enables modeling and knowledge extraction from abundant data availability.
This book introduces soft computing methods extending the envelope of problems that data mining can solve efficiently. It presents practical soft-computing approaches in data mining and includes various real-world case studies with detailed results.
Data Mining is the science and technology of exploring large and complex bodies of data in order to discover useful patterns. It is extremely important, because it enables modeling and knowledge extraction from abundant data availability.Soft Computing for Knowledge Discovery and Data Mining introduces soft computing methods extending the envelope of problems that data mining can solve efficiently. This book presents practical soft-computing approaches in data mining.Soft Computing for Knowledge Discovery and Data Mining was written to provide investigators in the fields of information systems, engineering, computer science, statistics and management with a profound source for the role of soft computing for data mining. Practitioners and researchers among the readers may be particularly interested in the description of real world data mining projects performed with soft computing. Soft Computing for Knowledge Discovery and Data Mining, is also suitable for graduate-level and upper under graduate-level students in computer science.
Inhaltsverzeichnis zu „Soft Computing for Knowledge Discovery and Data Mining “
- Foundation and Capabilities- Introduction to Data Mining
- Classification Methods
- Clustering Methods
- Association Rules
- Feature Selection
- Soft Computing Methods
- Fuzzy Set and Fuzzy Logic
- Neural Networks
- Rough Set Theory
- Bayesian Networks
- Evolutionary algorithms
- Swarm intelligence
- Support Vector Machines
- Wavelets Methods
- Neuro-fuzzy
- Applications
- Target Marketing Applications
- Medicine Applications
- Manufacturing Applications
Bibliographische Angaben
- 2007, 433 Seiten, Maße: 16,5 x 24,2 cm, Gebunden, Englisch
- Herausgegeben:Maimon, Oded; Rokach, Lior
- Herausgegeben: Oded Maimon, Lior Rokach
- Verlag: Springer
- ISBN-10: 0387699341
- ISBN-13: 9780387699349
- Erscheinungsdatum: 26.11.2007
Sprache:
Englisch
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