Integration Challenges for Analytics, Business Intelligence, and Data Mining (e-bog) af -
Manuel Filipe (redaktør)

Integration Challenges for Analytics, Business Intelligence, and Data Mining e-bog

2190,77 DKK (inkl. moms 2738,46 DKK)
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 approach...
E-bog 2190,77 DKK
Forfattere Manuel Filipe (redaktør)
Udgivet 11 december 2020
Genrer UNF
Sprog English
Format epub
Beskyttelse LCP
ISBN 9781799857846
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.