Data Mining and Big Data: First International Conference, DMBD 2016, Bali, Indonesia, June 25-30, 2016. Proceedings
Author:   Ying Tan ,  Yuhui Shi
Publisher:   Springer International Publishing AG
Edition:   1st ed. 2016
Volume:   9714
ISBN:  

9783319409726


Pages:   569
Publication Date:   14 June 2016
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Data Mining and Big Data: First International Conference, DMBD 2016, Bali, Indonesia, June 25-30, 2016. Proceedings


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Overview

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.

Full Product Details

Author:   Ying Tan ,  Yuhui Shi
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   1st ed. 2016
Volume:   9714
Dimensions:   Width: 15.50cm , Height: 3.00cm , Length: 23.50cm
Weight:   8.774kg
ISBN:  

9783319409726


ISBN 10:   3319409727
Pages:   569
Publication Date:   14 June 2016
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Challenges in Data Mining and Big Data.- Data Mining Algorithms.- Frequent Itemset Mining.- Spatial Data Mining.- Prediction.- Feature Selection.- Information Extraction.- Classification.- Anomaly Pattern and Diagnosis.- Data Visualization Analysis.- Privacy Policy.- Social Media.- Query Optimization and Processing Algorithm.- Big Data.- Computational Aspects of Pattern Recognition and Computer Vision.

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