N-dimensional Data Mining based Evolutionary Customer Behavior Modeling

2016 Fiscal Year Final Research Report

• Project/Area Number: 25330270
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Research Field: Intelligent informatics
• Research Institution: Hosei University
• Principal Investigator: HUANG Runhe 法政大学, 情報科学部, 教授 (00254102)
• Project Period (FY): 2013-04-01 – 2017-03-31
• Keywords: business intelligence / big data mining / knowledge discovery / customer model / smart service / knowledge fusion

Outline of Final Research Achievements

This research was proposed to build a framework for modeling customer behavior based on n-dimensional data mining so as to provide customers better services.　This research's achievements are as follows. (1) The data mining engine was designed and implemented based on KID model and backward chaining objectives oriented mining planning mechanism. (2) Fusion algorithms built in assimilation and instantiation processes for information/knowledge fusion were proposed and implemented. (3) The data driven customer behavior model was designed based on the concept of Cyber-I and is of the capability of growth and evolution with continuously incoming data. (4) A retail business service and city traffic management were as the testbed for our proposed models, mechanisms, and framework.

Free Research Field

人工知能