Features
- Cover Type: Hard Cover with 456 pages
- Published by: Springer
- Edition: 1st Edition November 30, 2000
- Written in: English
- ISBN 10 Number: 0792372433
- ISBN 13 Number: 978-0792372431
-
Book Dimensions:
9.2 x 6.5 x 1.3 inches
- Weighs: 1.7 pounds
Product Description
Current database technology and
computer hardware allow us to gather, store, access, and manipulate massive volumes of raw data in an efficient and inexpensive manner. In addition, the amount of data collected and warehoused in all industries is growing every year at a phenomenal rate. Nevertheless, our ability to discover critical, non-obvious nuggets of useful information in data that could influence or help in the decision making process, is still limited.
Knowledge discovery (KDD) and Data Mining (DM) is a new, multidisciplinary field that focuses on the overall process of information discovery from large volumes of data. The field combines database concepts and theory, machine learning, pattern recognition, statistics, artificial intelligence, uncertainty management, and high-performance computing.
To remain competitive, businesses must apply data mining techniques such as classification, prediction, and clustering using tools such as neural networks, fuzzy logic, and decision trees to facilitate making strategic decisions on a daily basis.
Knowledge Discovery for Business Information Systems contains a collection of 16 high quality articles written by experts in the KDD and DM field from the following countries: Austria, Australia, Bulgaria, Canada, China (Hong Kong), Estonia, Denmark, Germany, Italy, Poland, Singapore and USA.
Book Info
A collection of 16 articles written by experts in the knowledge discovery and data mining fields, from a range countries including China, Poland, Austria, and the United States. Presents informations on how businesses can and should conduct knowledge discovery and data mining. DLC: Data mining.
Reader ReviewsI have found this book very informative and interesting. The book includes many interesting ideas, research results, and practical aspects of knowledge discovery processes for business information systems. The editors invited very fine group of authors, and also actively participated in presenting their own findings. Researchers, educators, and students can learn a lot from this book.
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