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Data mining and big data : first International Conference, DMBD 2016, Bali, Indonesia, June 25-30, 2016. Proceedings / Ying Tan, Yuhui Shi (editor)
Cham : Springer, 2016
564 pages. : illustrations ; cm.
Ký hiệu phân loại (DDC): 006.312
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
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Guide to graph algorithms : Sequential, parallel and distributed / K. Erciyes
Switzerland : Springer, 2018
489 p. ; cm.
Ký hiệu phân loại (DDC): 518.1
This clearly structured textbook/reference presents a detailed and comprehensive review of the fundamental principles of sequential graph algorithms, approaches for NP-hard graph problems, and approximation algorithms and heuristics for such problems. The work also provides a comparative analysis of sequential, parallel and distributed graph algorithms – including algorithms for big data – and an investigation into the conversion principles between the three algorithmic methods.
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