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Paper Abstract and Keywords
Presentation 2020-12-01 15:40
[Invited Talk] Current Developments and Future Perspectives of Analytics for Business Data
Masayuki Goto (Waseda Univ.) IT2020-27
Abstract (in Japanese) (See Japanese page) 
(in English) This paper introduces trends in the application of advanced technologies of data analysis such as artificial intelligence and machine learning, mainly in the field of business analytics, and describes future prospects. In recent years, the data utilization is promoted in various business fields due to the development of artificial intelligence and machine learning in society. On EC (Electronic Commerce) sites, several measures to improve conversion rates such as the purchases rate are studied by utilizing various data such as user browsing history and purchase history. Even in real stores, purchase history information has become possible to be accumulated by using point card and credit card systems, and analysis of these data is not uncommon. Since the usage status of IoT (Internet of Things) products sold to consumers can be collected as data via the Internet, it is expected that it will be possible to link to various measures by analyzing the usage status data. This paper discusses the current status and future prospects of researches on the utilization of advanced data analysis technologies such as machine learning and artificial intelligence for such business data.
Keyword (in Japanese) (See Japanese page) 
(in English) Data Science / Business Analytics / Machine Learning / Data Driven Approach / / / /  
Reference Info. IEICE Tech. Rep., vol. 120, no. 268, IT2020-27, pp. 15-20, Dec. 2020.
Paper # IT2020-27 
Date of Issue 2020-11-24 (IT) 
ISSN Online edition: ISSN 2432-6380
Copyright
and
reproduction
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
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Conference Information
Committee IT  
Conference Date 2020-12-01 - 2020-12-03 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Lectures for Young Researchers, General 
Paper Information
Registration To IT 
Conference Code 2020-12-IT 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Current Developments and Future Perspectives of Analytics for Business Data 
Sub Title (in English)  
Keyword(1) Data Science  
Keyword(2) Business Analytics  
Keyword(3) Machine Learning  
Keyword(4) Data Driven Approach  
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1st Author's Name Masayuki Goto  
1st Author's Affiliation Waseda University (Waseda Univ.)
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Speaker Author-1 
Date Time 2020-12-01 15:40:00 
Presentation Time 50 minutes 
Registration for IT 
Paper # IT2020-27 
Volume (vol) vol.120 
Number (no) no.268 
Page pp.15-20 
#Pages
Date of Issue 2020-11-24 (IT) 


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