Stephan Kudyba

Big Data, Mining, and Analytics (eBook, PDF)

Components of Strategic Decision Making

• Format: PDF

Produktbeschreibung

This book ties together big data, data mining, and analytics to explain how readers can leverage them to transform their business strategy. Illustrating basic approaches of business intelligence to data and text mining, the book guides readers through the process of extracting valuable knowledge from the varieties of data currently being generated in the brick and mortar and Internet environments. It considers the broad spectrum of analytics approaches for decision making, including dashboards, OLAP cubes, data mining, and text mining.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 325
• Erscheinungstermin: 12. März 2014
• Englisch
• ISBN-13: 9781466568716
• Artikelnr.: 40725206

Autorenporträt

Stephan Kudyba has developed computerized models for trading financial markets in the investment banking industry and has provided Business Intelligence based solutions involving data mining applications for organizations across industry sectors. He has published numerous books and articles, has been interviewed by prominent magazines and speaks at corporate and academic events addressing data, information and knowledge management and organizational performance.

Dr. Kudyba is a professor in the school of management at New Jersey Institute of Technology where he teaches business courses addressing data, information and knowledge management, market research and internet marketing. He has held editorial positions for academic journals, is a member of a number of information management based societies, and maintains relations with organizations in a variety of industries addressing strategic initiatives.

Inhaltsangabe

Introduction to the Big Data Era. Information Creation through Analytics.
Big Data Analytics-Architectures, Implementation. Methodology, and Tools.
Data Mining Methods and the Rise of Big Data. Data Management and Model
Creation Process of Structured Data for Mining and Analytics. The Internet:
A Source of New Data for Mining in Marketing. Mining and Analytics in
E-Commerce. Streaming Data in the Age of Big Data. Using CEP for Real-Time
Data Mining. Transforming Unstructured Data into Useful Information. Mining
Big Textual Data. The New Medical Frontier: Real-Time Wireless Medical Data
Acquisition for 21st-Century Healthcare and Data Mining Challenges.