Read Data Mining for Business Applications (Frontiers in Artificial Intelligence and Applications, 218)

Data Mining for Business Applications (Frontiers in Artificial Intelligence and Applications, 218)

Carlos A. Mota Soares

4.9/5 (21857 ratings)

Description:Data mining is already incorporated into the business processes in many sectors such as health, retail, automotive, finance, telecom and insurance as well as in government. This technology is well established in applications such as targeted marketing, customer churn detection and market basket analysis. It is also emerging as an important technology in a wide range of new application areas, such as social media, social networks and sensor networks. These areas pose new challenges both in terms of the nature of available data and the underlying support technology. This book contains extended versions of a selection of papers presented at a series of workshops held between 2005 and 2008 on the subject of data mining for business applications. It covers the entire spectrum of issues involved in the development of data mining systems. Areas covered include methodological issues and research challenges, typical problems for which data mining has proved to be an invaluable tool, and innovative applications of data mining which make this an exciting field to work in. The contributions illustrate the importance of maintaining close contact between researchers and it is essential that researchers are exposed to and motivated by the real problems and practical constraints experienced by organizations, and practitioners need to interact with the research community to identify new opportunities to apply the latest technology. This book will be of interest not only to data mining researchers and practitioners, but also to students seeking a better understanding of the practical issues involved in building data mining systems. IOS Press is an international science, technical and medical publisher of high-quality books for academics, scientists, and professionals in all fields. Some of the areas we publish -Biomedicine-Oncology-Artificial intelligence-Databases and information systems-Maritime engineering-Nanotechnology-Geoengineering-All aspects of physics-E-governance-E-commerce-The knowledge economy-Urban studies-Arms control-Understanding and responding to terrorism-Medical informatics-Computer SciencesWe have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Data Mining for Business Applications (Frontiers in Artificial Intelligence and Applications, 218). To get started finding Data Mining for Business Applications (Frontiers in Artificial Intelligence and Applications, 218), you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

Pages: —

Format: PDF, EPUB & Kindle Edition

Publisher: —

Release: —

ISBN: 1607506327

Description: Data mining is already incorporated into the business processes in many sectors such as health, retail, automotive, finance, telecom and insurance as well as in government. This technology is well established in applications such as targeted marketing, customer churn detection and market basket analysis. It is also emerging as an important technology in a wide range of new application areas, such as social media, social networks and sensor networks. These areas pose new challenges both in terms of the nature of available data and the underlying support technology. This book contains extended versions of a selection of papers presented at a series of workshops held between 2005 and 2008 on the subject of data mining for business applications. It covers the entire spectrum of issues involved in the development of data mining systems. Areas covered include methodological issues and research challenges, typical problems for which data mining has proved to be an invaluable tool, and innovative applications of data mining which make this an exciting field to work in. The contributions illustrate the importance of maintaining close contact between researchers and it is essential that researchers are exposed to and motivated by the real problems and practical constraints experienced by organizations, and practitioners need to interact with the research community to identify new opportunities to apply the latest technology. This book will be of interest not only to data mining researchers and practitioners, but also to students seeking a better understanding of the practical issues involved in building data mining systems. IOS Press is an international science, technical and medical publisher of high-quality books for academics, scientists, and professionals in all fields. Some of the areas we publish -Biomedicine-Oncology-Artificial intelligence-Databases and information systems-Maritime engineering-Nanotechnology-Geoengineering-All aspects of physics-E-governance-E-commerce-The knowledge economy-Urban studies-Arms control-Understanding and responding to terrorism-Medical informatics-Computer SciencesWe have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Data Mining for Business Applications (Frontiers in Artificial Intelligence and Applications, 218). To get started finding Data Mining for Business Applications (Frontiers in Artificial Intelligence and Applications, 218), you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

Special Offer | $0.00

Special Offer! | $0.00

Data Mining for Business Applications (Frontiers in Artificial Intelligence and Applications, 218)

Data Mining for Business Applications (Frontiers in Artificial Intelligence and Applications, 218)

More Books

Predictive Data Mining

Predictive Data Mining

Data Mining

Data Mining

Data Mining Your Website

Data Mining Your Website

Foundations of Data Mining and Knowledge Discovery

Foundations of Data Mining and Knowledge Discovery

Data Mining for Business Intelligence

Data Mining for Business Intelligence

Data Mining Introductory and Advanced Topics

Data Mining Introductory and Advanced Topics

Machine Learning and Data Mining

Machine Learning and Data Mining

Data Mining Algorithms

Data Mining Algorithms

Metalearning

Metalearning