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Please use this identifier to cite or link to this item: http://hdl.handle.net/10112/6927

Title: The River-Rafting System for Knowledge Discovery Related to Persuasion Process Conversation Logs
Authors: SUNAYAMA, Wataru
YADA, Katsutoshi
Author's alias: 矢田, 勝俊
Issue Date: Dec-2006
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Shimei: Sixth IEEE International Conference on Data Mining- Workshops (ICDM Workshops 2006)
Start page: 575
End page: 579
Abstract: The purpose of this research is to develop a framework to represent the content and process of persuasion communications for overdue payment collection, thus making it possible to examine how the skilled operators have used theme related keywords concerning motivations to pay, the payment methods and the payment confirmation in their negotiation to achieve higher collection success. This paper describes a basis for modeling a persuasion process. There has been no research or methods for dealing with large amounts of conversation logs for discovering useful knowledge about persuasion processes. In this paper, we report our successful efforts in discovering a part of the distinctive features of skilled worker techniques as indicated in their conversations related to overdue payment collection and the application of our methods to communication data related to a Japanese telecommunications company.
Description: December 18-22, 2006 Hong Kong, China
type: Conference Paper
Rights: (C) 2006 IEEE. Reprinted, with permission, from SUNAYAMA Wataru, YADA Katsutoshi, The River-Rafting System for Knowledge Discovery Related to Persuasion Process Conversation Logs, 12/2006. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of Kansai University'sproducts or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org.
URI: http://hdl.handle.net/10112/6927
ISBN: 0769527027
Text Version: publisher
Appears in Collections:商学部-会議発表論文

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