Download the fantastic book titled Integration Challenges for Analytics Business Intelligence and Data Mining written by Azevedo, Ana, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Integration Challenges for Analytics Business Intelligence and Data Mining", which was released on 11 December 2020. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Computers genre.
Summary of Integration Challenges for Analytics Business Intelligence and Data Mining by Azevedo, Ana PDF
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.
Detail About Integration Challenges for Analytics Business Intelligence and Data Mining PDF
- Author : Azevedo, Ana
- Publisher : IGI Global
- Genre : Computers
- Total Pages : 250 pages
- ISBN : 1799857832
- Release Date : 11 December 2020
- PDF File Size : 55,6 Mb
- Language : English
- Rating : 4/5 from 21 reviews
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