Mining for Web Based Business Intelligence Applications

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Over the last few years, there has been a remarkable increase in use of World Wide Web (WWW) for a wide and variety of applications. The web plays a central role in e-commerce applications. As a consequence, there is a need to improve Intelligence of Web Engineering Applications in the context of Business and IT industry. To achieve this objective web engineering tasks must be able to identify some useful insights for business intelligence. The present research work attempts to initiate Business Intelligence from Web Based Applications. The issues of research work are uniformly accommodated in five chapters. In each chapter, the needs and techniques that are required to achieve objective of research work are well discussed.

Autorentext

Krishna Prasad is an Associate Professor in Information Technology at MVSR Engg. College,Hyderabad. He received his PhD in Computer Science from Sri Venkateswara University, Tirupati. His Research Papers are published in several International Journals. He was nominated as a Reviewer and an Associate Editor for several International Journals.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09783659320224
    • Sprache Englisch
    • Genre Anwendungs-Software
    • Größe H220mm x B150mm x T12mm
    • Jahr 2013
    • EAN 9783659320224
    • Format Kartonierter Einband
    • ISBN 3659320226
    • Veröffentlichung 28.02.2013
    • Titel Mining for Web Based Business Intelligence Applications
    • Autor Ambati Venkata Krishna Prasad
    • Untertitel Mining for Web Engineering
    • Gewicht 298g
    • Herausgeber LAP LAMBERT Academic Publishing
    • Anzahl Seiten 188

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