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portada Integration Challenges for Analytics, Business Intelligence, and Data Mining
Type
Physical Book
Publisher
Author
Language
English
Pages
276
Format
Hardcover
Dimensions
27.9 x 21.6 x 1.8 cm
Weight
0.93 kg.
ISBN13
9781799857815
Categories

Integration Challenges for Analytics, Business Intelligence, and Data Mining

Azevedo, Ana ; Santos, Manuel Filipe (Author) · Engineering Science Reference · Hardcover

Integration Challenges for Analytics, Business Intelligence, and Data Mining - Azevedo, Ana ; Santos, Manuel Filipe

New Book Imported to South Africa
Delivery: 08 Jul - 31 Jul Shipping: 4 to 5 business days.
R 5,031
R 5,031

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Synopsis "Integration Challenges for Analytics, Business Intelligence, and Data Mining"

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.

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