Description: This book constitutes the refereed proceedings of the 15th Australasian Conference on Data Mining, AusDM 2017, held in Melbourne, VIC, Australia, in August 2017. The 17 revised full papers presented together with 11 research track papers and 6 application track papers were carefully reviewed and selected from 31 submissions. The papers are organized in topical sections on clustering and classification; big data; time series; outlier detection and applications; social media and applications.
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Title: Data Mining : 15th Australasian Conference, AusDM 2017, Melbourne
Weight: 534
EAN: 9789811302916
ISBN-10: 9789811302916
Date of Publication: 2018-04
Place of Publication: 2018-04
Book Series: Springer
Genre: COMPUTERS / Data Science / Data Analytics
Narrative Type: N/A
Features: N/A
Intended Audience: N/A
Ex Libris: No
Editor: N/A
Edition: N/A
Pagination: 292
Dimensions: 921x614
Number of Pages: 277 Pages
Language: English
Publication Name: Data Mining: 15th Australasian Conference, AusDM 2017, Melbourne, VIC, Australia, August 19-20, 2017, Revised Selected Papers
Publisher: Springer Verlag, Singapore
Publication Year: 2018
Subject: Computer Science
Item Height: 235 mm
Item Weight: 450 g
Type: Textbook
Author: Graham Williams, Yee Ling Boo, Lin Liu, Lianhua Chi, Kok-Leong Ong, David Stirling
Series: Communications in Computer and Information Science
Item Width: 155 mm
Format: Paperback
