
Integration Challenges for Analytics, Business Intelligence, and Data Mining
Business Science Reference (Publisher)
Published on 11. December 2020
Book
Hardback
250 pages
978-1-7998-5781-5 (ISBN)
Description
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.
More details
Language
English
Place of publication
Hershey
United States
Publishing group
IGI Global
Target group
College/higher education
Professional and scholarly
Dimensions
Height: 286 mm
Width: 221 mm
Thickness: 19 mm
Weight
961 gr
ISBN-13
978-1-7998-5781-5 (9781799857815)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

Ana Azevedo | Manuel Filipe Santos
Integration Challenges for Analytics, Business Intelligence, and Data Mining
Book
12/2020
Business Science Reference
€197.10
Shipment within 10-20 days