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Handbook of Data Mining and Knowledge Discovery, by Jan Zyt
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Data mining, or knowledge discovery in databases (KDD), is one of the fastest growing areas in computing application: it offers powerful tools to analyze the many large data bases used in business, science, and industry. Data mining technology searches large databases to extract information and patterns that can be translated into useful applications, such as classifying or predicting customer behavior. This book brings together fundamental knowledge on all aspects of data mining--concepts, theory, techniques, applications, and case studies. Designed for students and professionals in such fields as computing applications, information systems management and strategic research and management, the Handbook is a comprehensive guide to essential tools and technology, from neural networks to artificial intelligence. There is a strong emphasis on real-world case studies in such areas as banking, finance, marketing management, real estate, engineering, medicine, pharmacology, and the biosciences. A much needed resource on one of the fastest growing areas of computer applications--the development and use of tools to analyze, interpret, and make use of the enormous amounts of information stored in the world's databases.
- Sales Rank: #3935514 in Books
- Published on: 2002-06-15
- Ingredients: Example Ingredients
- Original language: English
- Number of items: 1
- Dimensions: 7.40" h x 2.00" w x 10.30" l,
- Binding: Hardcover
- 1064 pages
About the Author
Willi Klosgen, Principal Researcher, Fraunhofer Institute for Autonomous Intelligent Systems, Sankt Augustin.
Most helpful customer reviews
0 of 0 people found the following review helpful.
have large data sets?
By W Boudville
As computer usage keeps increasing, the amount of data being stored on disks worldwide also rises. Many terabytes by now, if not a petabyte or two.
Companies often have gigabytes of data that need to be analysed. This book is a very useful compendium of techniques that can be applied to the data. Because it may be that a sophisticated understanding of your data is a strategic advantage to your company. If not a core competence.
The book covers data in many different fields. From financial, engineering, medical and even bioinformatic. The methods applied to these data span the gamut from Artificial Intelligence to neural networks. While some methods are specific to the type of data being studied, the astute reader may be able to modify these for her own situation.
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