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| Presentation | 2018-03-02 10:25 The abstract of process discovery technique in the sales activity : The approach based on process mining Yoshihito Nakayama (Tokyo Univ.), Masahiro Mori (INTRAMART), Yoshiaki Naruse, Hiroyuki Morikawa (Tokyo Univ.)  LOIS2017-84 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | In sales activities in which results are influenced by judgment of the person, the means for eliminating the human dependence and increasing efficiency of the sales activities are required. To realize that, a process discovery method that extracts regularity from the decision making process of sales activities is essential. In the process discovery method in conventional process mining, the regularity and rules of business process are extracted from information on execution order of events contained in the event logs output from the systems operated by human. Furthermore, the process is strengthened from the event log outputted during execution of the process. However, in the decision making process of sales activities, it is difficult to apply the conventional process discovery method because the rules are not known in advance and the input information is unstructured data such as business diaries . For these issues, we are developing the effective decision-making support system by applying the machine learning model. In this paper we provide a new procedure and application algorithms on process discovery method for business decision making support system. |
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| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Sales Activity / Decision Making Support / Process Mining / Decision Mining / Process Discovery / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 117, no. 464, LOIS2017-84, pp. 77-80, March 2018. | |
| Paper # | LOIS2017-84 | |
| Date of Issue | 2018-02-22 (LOIS) | |
| ISSN | Print edition: ISSN 0913-5685 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) | |
| Download PDF | LOIS2017-84 |
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| Conference Information | |
| Committee | LOIS |
| Conference Date | 2018-03-01 - 2018-03-02 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Naha-City IT Souzoukan(Okinawa) |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | LOIS |
| Conference Code | 2018-03-LOIS |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | The abstract of process discovery technique in the sales activity : The approach based on process mining |
| Sub Title (in English) | |
| Keyword(1) | Sales Activity |
| Keyword(2) | Decision Making Support |
| Keyword(3) | Process Mining |
| Keyword(4) | Decision Mining |
| Keyword(5) | Process Discovery |
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| Keyword(7) | |
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| 1st Author's Name | Yoshihito Nakayama |
| 1st Author's Affiliation | The university of Tokyo (Tokyo Univ.) |
| 2nd Author's Name | Masahiro Mori |
| 2nd Author's Affiliation | NTT DATA INTRAMART Corp. (INTRAMART) |
| 3rd Author's Name | Yoshiaki Naruse |
| 3rd Author's Affiliation | The university of Tokyo (Tokyo Univ.) |
| 4th Author's Name | Hiroyuki Morikawa |
| 4th Author's Affiliation | The university of Tokyo (Tokyo Univ.) |
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| Speaker | Author-1 |
| Date Time | 2018-03-02 10:25:00 |
| Presentation Time | 25 minutes |
| Registration for | LOIS |
| Paper # | LOIS2017-84 |
| Volume (vol) | vol.117 |
| Number (no) | no.464 |
| Page | pp.77-80 |
| #Pages | 4 |
| Date of Issue | 2018-02-22 (LOIS) |
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