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Knowledge discovery for business information systems

Author: Witold Abramowicz; Jozef Zurada
Publisher: Boston : Kluwer Academic Publishers, ©2001.
Series: Kluwer international series in engineering and computer science, SECS 600.
Edition/Format:   Print book : EnglishView all editions and formats
Database:WorldCat
Summary:
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  Read more...
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Material Type: Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: Witold Abramowicz; Jozef Zurada
ISBN: 0792372433 9780792372431
OCLC Number: 45080120
Description: xvii, 431 pages : illustrations ; 25 cm.
Contents: Information Filters Supplying Data Warehouses with Benchmarking Information --
Parallel Mining of Association Rules --
Unsupervised Feature Ranking and Selection --
Approaches to Concept Based Exploration of Information Resources --
Hybrid Methodology of Knowledge Discovery for Business Information --
Fuzzy Linguistic Summaries of Databases for an Efficient Business Data Analysis and Decision Support --
Integrating Data Sources Using a Standardized Global Dictionary --
Maintenance of Discovered Association Rules --
Multidimensional Business Process Analysis with the Process Warehouse --
Amalgamation of Statistics and Data Mining Techniques: Explorations in Customer Lifetime Value Modeling --
Robust Business Intelligence Solutions --
The Role of Granular Information in Knowledge Discovery in Databases --
Dealing with Dimensions in Data Warehousing --
Enhancing the KDD Process in the Relational Database Mining Framework by Quantitative Evaluation of Association Rules --
Speeding up Hypothesis Development --
Sequence Mining in Dynamic and Interactive Environments --
Investigation of Artificial Neural Networks for Classifying Levels of Financial Distress of Firms: The Case of an Unbalanced Training Sample.
Series Title: Kluwer international series in engineering and computer science, SECS 600.
Responsibility: edited by Witold Abramowicz, Jozef Zurada.
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Abstract:

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. This work contains a  Read more...

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