Integration Challenges for Analytics Business Intelligence and Data Mining is popular PDF and ePub book, written by Azevedo, Ana in 2020-12-11, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Integration Challenges for Analytics Business Intelligence and Data Mining can be Read Online from any device for your convenience.

Integration Challenges for Analytics Business Intelligence and Data Mining Book PDF Summary

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 Book of Integration Challenges for Analytics Business Intelligence and Data Mining PDF

Integration Challenges for Analytics  Business Intelligence  and Data Mining
  • Author : Azevedo, Ana
  • Release : 11 December 2020
  • Publisher : IGI Global
  • ISBN : 9781799857839
  • Genre : Computers
  • Total Page : 250 pages
  • Language : English
  • PDF File Size : 17,6 Mb

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