Web Data Mining and the Development of Knowledge-Based Decision Support Systems

Nonfiction, Computers, Database Management, Data Processing, General Computing
Cover of the book Web Data Mining and the Development of Knowledge-Based Decision Support Systems by , IGI Global
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Author: ISBN: 9781522518792
Publisher: IGI Global Publication: December 21, 2016
Imprint: Information Science Reference Language: English
Author:
ISBN: 9781522518792
Publisher: IGI Global
Publication: December 21, 2016
Imprint: Information Science Reference
Language: English

Websites are a central part of today’s business world; however, with the vast amount of information that constantly changes and the frequency of required updates, this can come at a high cost to modern businesses. Web Data Mining and the Development of Knowledge-Based Decision Support Systems is a key reference source on decision support systems in view of end user accessibility and identifies methods for extraction and analysis of useful information from web documents. Featuring extensive coverage across a range of relevant perspectives and topics, such as semantic web, machine learning, and expert systems, this book is ideally designed for web developers, internet users, online application developers, researchers, and faculty.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

Websites are a central part of today’s business world; however, with the vast amount of information that constantly changes and the frequency of required updates, this can come at a high cost to modern businesses. Web Data Mining and the Development of Knowledge-Based Decision Support Systems is a key reference source on decision support systems in view of end user accessibility and identifies methods for extraction and analysis of useful information from web documents. Featuring extensive coverage across a range of relevant perspectives and topics, such as semantic web, machine learning, and expert systems, this book is ideally designed for web developers, internet users, online application developers, researchers, and faculty.

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