Description: Knowledge Discovery for Business Information Systems, Paperback by Abramowicz, Witold (EDT); Zurada, Jozef M. (EDT), ISBN 1475774753, ISBN-13 9781475774757, Brand New, Free shipping in the US 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.
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Book Title: Knowledge Discovery for Business Information Systems
Number of Pages: Xviii, 432 Pages
Publication Name: Knowledge Discovery for Business Information Systems
Language: English
Publisher: Springer
Publication Year: 2013
Item Height: 0.4 in
Subject: Information Theory, Expert Systems, Information Management, Databases / Data Mining, Databases / General
Item Weight: 24.3 Oz
Type: Textbook
Author: Jozef M. Zurada
Item Length: 9.3 in
Subject Area: Computers, Business & Economics
Item Width: 6.1 in
Series: The Springer International Series in Engineering and Computer Science Ser.
Format: Trade Paperback
