Data Mining and Big Data [electronic resource] : Third International Conference, DMBD 2018, Shanghai, China, June 17–22, 2018, Proceedings /

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Material type: Text

TextSeries: Information Systems and Applications, incl. Internet/Web, and HCI ; 10943Publisher: Cham : Springer International Publishing : Imprint: Springer, 2018Edition: 1st ed. 2018Description: XVIII, 799 p. 252 illus. online resourceContent type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

9783319938035

Subject(s):

Additional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification:

005.3 23

LOC classification:

QA76.76.A65

Online resources:

Click here to access online

Contents:

database -- data preprocessing -- matrix factorization -- data analysis -- visualization,- visibility analysis -- clustering -- prediction -- classification -- pattern discovery -- text mining and knowledge management -- recommendation system in social media -- deep learning -- big data -- Industry 4.0 -- practical applications.

In: Springer Nature eBookSummary: This book constitutes the refereed proceedings of the Third International Conference on Data Mining and Big Data, DMBD 2018, held in Shanghai, China, in June 2018. The 74 papers presented in this volume were carefully reviewed and selected from 126 submissions. They are organized in topical sections named: database, data preprocessing, matrix factorization, data analysis, visualization, visibility analysis, clustering, prediction, classification, pattern discovery, text mining and knowledge management, recommendation system in social media, deep learning, big data, Industry 4.0, practical applications.

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This book constitutes the refereed proceedings of the Third International Conference on Data Mining and Big Data, DMBD 2018, held in Shanghai, China, in June 2018. The 74 papers presented in this volume were carefully reviewed and selected from 126 submissions. They are organized in topical sections named: database, data preprocessing, matrix factorization, data analysis, visualization, visibility analysis, clustering, prediction, classification, pattern discovery, text mining and knowledge management, recommendation system in social media, deep learning, big data, Industry 4.0, practical applications.

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