Handbook of data mining and knowledge discovery /
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| Other Authors: | , |
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| Format: | Book |
| Language: | English |
| Published: |
Oxford ; New York :
Oxford University Press
2002.
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| Subjects: |
Table of Contents:
- Data mining and knowledge discovery. Knowledge discovery in databases : the purpose, necessity, and challenges
- Knowledge discovery process
- Multidisciplinary contributions to knowledge discovery
- Fundamental concepts. Types and forms of data
- Types and forms of knowledge (patterns)
- Data and knowledge in database systems
- Logic perspective on data and knowledge
- Statistics perspective on data and knowledge
- Rough sets perspective on data and knowledge
- Fuzzy sets perspective on data and knowledge
- Search techniques
- Process of knowledge discovery in databases. Stages of the discovery process
- Data warehousing
- Data reduction
- Data visualization for domain exploration
- Data mining tasks and methods
- Task and method selection
- Domain knowledge to support the discovery process
- Knowledge evaluation
- Presentation and visualization
- From discovered knowledge to decisionmaking
- Legal aspects of KDD
- Discovery systems. Overview of discovery systems
- Case studies
- Interdisciplinary links of KDD. Statistics
- Using relational databases in KDD
- Artificial intelligence
- Machine learning
- Automated scientific discovery
- Fuzzy and rough sets
- Neural networks
- Evolutionalry computation
- Visualization
- Business problems. Marketing
- Fraud detection
- Risk analysis
- Production control
- Text mining
- Mulimedia applications
- Industry sectors. Banking and finance
- Telecommunications
- Engineering
- Medicine
- Pharmacology
- Sciences
- KDD in practice : case studies. Industry
- Public administration and health care
- Science.
