Data Mining and Big Data / Lecture Notes in Computer Science Bd.9714 (PDF)
First International Conference, DMBD 2016, Bali, Indonesia, June 25-30, 2016. Proceedings
(Sprache: Englisch)
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...
The 57 papers presented in this volume were carefully reviewed and selected from...
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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 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.
Bibliographische Angaben
- 2016, 1st ed. 2016, 569 Seiten, Englisch
- Herausgegeben: Ying Tan, Yuhui Shi
- Verlag: Springer-Verlag GmbH
- ISBN-10: 3319409735
- ISBN-13: 9783319409733
- Erscheinungsdatum: 04.07.2016
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