Overview
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 9714)
Part of the book sub series: Information Systems and Applications, incl. Internet/Web, and HCI (LNISA)
Included in the following conference series:
Conference proceedings info: DMBD 2016.
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Table of contents (57 papers)
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Challenges in Data Mining and Big Data
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Data Mining Algorithms
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Frequent Itemset Mining
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Spatial Data Mining
Other volumes
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Data Mining and Big Data
Keywords
About this book
The 57 papers presented in this volume were carefully reviewed and selected from 115 submissions. The theme of DMBD 2016 is "Serving Life with Data Science". Data mining refers to the activity of going through big data sets to look for relevant or pertinent information.The papers are organized in 10 cohesive sections covering all major topics of the research and development of data mining and big data and one Workshop on Computational Aspects of Pattern Recognition and Computer Vision.
Editors and Affiliations
Bibliographic Information
Book Title: Data Mining and Big Data
Book Subtitle: First International Conference, DMBD 2016, Bali, Indonesia, June 25-30, 2016. Proceedings
Editors: Ying Tan, Yuhui Shi
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-319-40973-3
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing Switzerland 2016
Softcover ISBN: 978-3-319-40972-6Published: 14 June 2016
eBook ISBN: 978-3-319-40973-3Published: 04 July 2016
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XVI, 569
Number of Illustrations: 141 b/w illustrations
Topics: Pattern Recognition, Artificial Intelligence, Information Systems Applications (incl. Internet), Information Storage and Retrieval, Database Management, Algorithm Analysis and Problem Complexity