Integration Challenges for Analytics, Business Intelligence, and Data Mining

Integration Challenges for Analytics, Business Intelligence, and Data Mining
Author: Azevedo, Ana
Publisher: IGI Global
Total Pages: 250
Release: 2020-12-11
Genre: Computers
ISBN: 1799857832

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As technology continues to advance, it is critical for businesses to implement systems that can support the transformation of data into information that is crucial for the success of the company. Without the integration of data (both structured and unstructured) mining in business intelligence systems, invaluable knowledge is lost. However, there are currently many different models and approaches that must be explored to determine the best method of integration. Integration Challenges for Analytics, Business Intelligence, and Data Mining is a relevant academic book that provides empirical research findings on increasing the understanding of using data mining in the context of business intelligence and analytics systems. Covering topics that include big data, artificial intelligence, and decision making, this book is an ideal reference source for professionals working in the areas of data mining, business intelligence, and analytics; data scientists; IT specialists; managers; researchers; academicians; practitioners; and graduate students.


Integration of Data Mining in Business Intelligence Systems
Language: en
Pages: 340
Authors: Azevedo, Ana
Categories: Computers
Type: BOOK - Published: 2014-09-30 - Publisher: IGI Global

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Uncovering and analyzing data associated with the current business environment is essential in maintaining a competitive edge. As such, making informed decision
Integration of Data Mining in Business Intelligence Systems
Language: en
Pages:
Authors: Ana Azevedo
Categories: Business intelligence
Type: BOOK - Published: 2015 - Publisher:

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"This book investigates the incorporation of data mining into business technologies used in the decision making process, emphasizing cutting-edge research and r
Integration Challenges for Analytics, Business Intelligence, and Data Mining
Language: en
Pages: 250
Authors: Azevedo, Ana
Categories: Computers
Type: BOOK - Published: 2020-12-11 - Publisher: IGI Global

GET EBOOK

As technology continues to advance, it is critical for businesses to implement systems that can support the transformation of data into information that is cruc
Microsoft Data Mining
Language: en
Pages: 344
Authors: Barry de Ville
Categories: Computers
Type: BOOK - Published: 2001-05 - Publisher: Digital Press

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This guide teaches data mining from the perspective of IT professionals using Microsoft data management and e-commerce technologies. The book explains major new
Real-world Data Mining
Language: en
Pages: 289
Authors: Dursun Delen
Categories: Business & Economics
Type: BOOK - Published: 2015 - Publisher: Pearson Education

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As business becomes increasingly complex and global, decision-makers must act more rapidly and accurately, based on the best available evidence. Modern data min