Proceedings

Proceedings
Author:
Publisher:
Total Pages: 1290
Release: 2011
Genre: Data mining
ISBN:


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2016 IEEE 16th International Conference on Data Mining Workshops (ICDMW)

2016 IEEE 16th International Conference on Data Mining Workshops (ICDMW)
Author: IEEE Staff
Publisher:
Total Pages:
Release: 2016-12-12
Genre:
ISBN: 9781509059119


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The IEEE International Conference on Data Mining series (ICDM) has established itself as the world s premier research conference in data mining It provides an international forum for presentation of original research results, as well as exchange and dissemination of innovative, practical development experiences The conference covers all aspects of data mining, including algorithms, software and systems, and applications ICDM draws researchers and application developers from a wide range of data mining related areas such as statistics, machine learning, pattern recognition, databases and data warehousing, data visualization, knowledge based systems, and high performance computing By promoting novel, high quality research findings, and innovative solutions to challenging data mining problems, the conference seeks to continuously advance the state of the art in data mining

ICDM Workshops 2006

ICDM Workshops 2006
Author:
Publisher:
Total Pages:
Release: 2006
Genre: Data mining
ISBN: 9780769527925


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14th IEEE International Conference on Data Mining Workshops

14th IEEE International Conference on Data Mining Workshops
Author: Zhi-Hua Zhou (Computer scientist)
Publisher:
Total Pages: 1270
Release:
Genre: Data mining
ISBN: 9781479942756


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Annotation The IEEE International Conference on Data Mining series (ICDM) has established itself as the world s premier research conference in data mining It provides an international forum for presentation of original research results, as well as exchange and dissemination of innovative, practical development experiences The conference covers all aspects of data mining, including algorithms, software and systems, and applications ICDM draws researchers and application developers from a wide range of data mining related areas such as statistics, machine learning, pattern recognition, databases and data warehousing, data visualization, knowledge based systems, and high performance computing By promoting novel, high quality research findings, and innovative solutions to challenging data mining problems, the conference seeks to continuously advance the state of the art in data mining Besides the technical program, the conference features workshops, tutorials, panels, and contest.