Read Knowledge Discovery and Data Mining: Challenges and Realities

Knowledge Discovery and Data Mining: Challenges and Realities

Xingquan Zhu

4.9/5 (15487 ratings)

Description:Knowledge discovery and data mining (KDD) is dedicated to exploring meaningful information from a large volume of data. Knowledge Discovery and Data Mining: Challenges and Realities is the most comprehensive reference publication for researchers and real-world data mining practitioners to advance knowledge discovery from low-quality data. This Premier Reference Source presents in-depth experiences and methodologies, providing theoretical and empirical guidance to users who have suffered from underlying, low-quality data. International experts in the field of data mining have contributed all-inclusive chapters focusing on interdisciplinary collaborations among data quality, data processing, data mining, data privacy, and data sharing.We 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 Knowledge Discovery and Data Mining: Challenges and Realities. To get started finding Knowledge Discovery and Data Mining: Challenges and Realities, 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: 290

Format: PDF, EPUB & Kindle Edition

Publisher: Information Science Reference

Release: 2007

ISBN: 1599042541

Description: Knowledge discovery and data mining (KDD) is dedicated to exploring meaningful information from a large volume of data. Knowledge Discovery and Data Mining: Challenges and Realities is the most comprehensive reference publication for researchers and real-world data mining practitioners to advance knowledge discovery from low-quality data. This Premier Reference Source presents in-depth experiences and methodologies, providing theoretical and empirical guidance to users who have suffered from underlying, low-quality data. International experts in the field of data mining have contributed all-inclusive chapters focusing on interdisciplinary collaborations among data quality, data processing, data mining, data privacy, and data sharing.We 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 Knowledge Discovery and Data Mining: Challenges and Realities. To get started finding Knowledge Discovery and Data Mining: Challenges and Realities, 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

Knowledge Discovery and Data Mining: Challenges and Realities

Knowledge Discovery and Data Mining: Challenges and Realities

More Books

Knowledge Discovery and Data Mining: Challenges and Realities by Xingquan Zhu (2007-06-04)

Knowledge Discovery and Data Mining: Challenges and Realities by Xingquan Zhu (2007-06-04)

Fraud Prevention in Online Digital Advertising (SpringerBriefs in Computer Science)

Fraud Prevention in Online Digital Advertising (SpringerBriefs in Computer Science)

Chen Duxiu zhuan (20 shi ji Zhongguo si xiang shi zhuan ji cong shu) (Mandarin Chinese Edition)

Chen Duxiu zhuan (20 shi ji Zhongguo si xiang shi zhuan ji cong shu) (Mandarin Chinese Edition)

Computational Data and Social Networks: 12th International Conference, CSoNet 2023, Hanoi, Vietnam, December 11–13, 2023, Proceedings (Lecture Notes in Computer Science)

Computational Data and Social Networks: 12th International Conference, CSoNet 2023, Hanoi, Vietnam, December 11–13, 2023, Proceedings (Lecture Notes in Computer Science)