Data Mining and Big Data First International Conference, DMBD 2016, Bali, Indonesia, June 25-30, 2016. Proceedings /

• Corporate Author: SpringerLink (Online service)
• Other Authors: Tan, Ying (Editor), Shi, Yuhui (Editor)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2016.
• Series: Lecture Notes in Computer Science, 9714
• Subjects: Computer science.; Algorithms.; Database management.; Information storage and retrieval.; Artificial intelligence.; Pattern recognition.; Computer Science.; Pattern Recognition.; Artificial Intelligence (incl. Robotics).; Information Systems Applications (incl. Internet).; Information Storage and Retrieval.; Database Management.; Algorithm Analysis and Problem Complexity.
• Physical Description: XVI, 569 p. 141 illus. online resource.
• ISBN: 9783319409733
• ISSN: 0302-9743 ;

The LNCS volume LNCS 9714 constitutes the refereed proceedings of the International Conference on Data Mining and Big Data, DMBD 2016, held in Bali, Indonesia, in June 2016. 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.