Data Mining and Big Data Second International Conference, DMBD 2017, Fukuoka, Japan, July 27 – August 1, 2017, Proceedings /

• Corporate Author: SpringerLink (Online service)
• Other Authors: Tan, Ying (Editor), Takagi, Hideyuki (Editor), Shi, Yuhui (Editor)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2017.
• Series: Lecture Notes in Computer Science, 10387
• Subjects: Computer science.; Computer system failures.; Algorithms.; Data mining.; Artificial intelligence.; Computer Science.; Information Systems Applications (incl. Internet).; Artificial Intelligence (incl. Robotics).; Data Mining and Knowledge Discovery.; System Performance and Evaluation.; Algorithm Analysis and Problem Complexity.
• Physical Description: XV, 546 p. 210 illus. online resource.
• ISBN: 9783319618456
• ISSN: 0302-9743 ;

This book constitutes the refereed proceedings of the Second International Conference on Data Mining and Big Data, DMBD 2017, held in Fukuoka, Japan, in July/August 2017. The 53 papers presented in this volume were carefully reviewed and selected from 96 submissions. They were organized in topical sections named: association analysis; clustering; prediction; classification; schedule and sequence analysis; big data; data analysis; data mining; text mining; deep learning; high performance computing; knowledge base and its framework; and fuzzy control. .