Introduction to Data Mining and its Applications
(Sprache: Englisch)
This book explores the concepts of data mining and data warehousing, a promising and flourishing frontier in database systems, and presents a broad, yet in-depth overview of the field of data mining. Data mining is a multidisciplinary field, drawing work...
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Klappentext zu „Introduction to Data Mining and its Applications “
This book explores the concepts of data mining and data warehousing, a promising and flourishing frontier in database systems, and presents a broad, yet in-depth overview of the field of data mining. Data mining is a multidisciplinary field, drawing work from areas including database technology, artificial intelligence, machine learning, neural networks, statistics, pattern recognition, knowledge based systems, knowledge acquisition, information retrieval, high performance computing and data visualization.
Inhaltsverzeichnis zu „Introduction to Data Mining and its Applications “
Part I Data Mining and Data Warehousing Concepts- Introduction to Data Mining Principles
- Data warehousing, Data mining and OLAP
- Data warehousing, Data Marts and Applications
- Evolution and Scaling of Data Mining Algorithms
- Emerging Trends and Applications of Data Mining
- Data Mining Trends and Knowledge Discovery
- Data Mining Tasks, Techniques and Applications
- Data Mining - An Introduction Case Study
- Data Mining and KDD
- Statistical Themes and Lessons for Data Mining
- Theoretical Frameworks for Data Mining
- Major and Privacy Issues in Data Mining and Knowledge Discovery
- Active Data Mining
- Decomposition in Data Mining
- Data Mining System Products and Research Prototypes
Part II Data Mining Applications
- Data Mining in Customer Relationship Management
- Data Mining in Business
- Data Mining in Sales Marketing and Finance
- Banking and Commercial Applications
- Data Mining for Insurance
- Data Mining in Science and Bio Medicine
- Text and Web Mining
- Data Mining in Information Analysis and Delivery
- Data mining in Telecommunications and Control
- Data Mining in Security
Bibliographische Angaben
- Autoren: S. Sumathi , S. N. Sivanandam
- 2006, 828 Seiten, Maße: 16 x 24,1 cm, Gebunden, Englisch
- Verlag: Springer
- ISBN-10: 3540343504
- ISBN-13: 9783540343509
- Erscheinungsdatum: 26.09.2006
Sprache:
Englisch
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