Hybrid agent-based modeling of rooftop solar photovoltaic adoption by integrating the geographic information system and data mining technique

2019 ◽  
Vol 183 ◽  
pp. 266-279 ◽  
Author(s):  
Minhyun Lee ◽  
Taehoon Hong
Keyword(s):  
Data Mining ◽  
Information System ◽  
Geographic Information System ◽  
Geographic Information ◽  
Agent Based Modeling ◽  
Solar Photovoltaic ◽  
Data Mining Technique ◽  
Agent Based ◽  
Mining Technique ◽  
Hybrid Agent

Distributed Web GIS

2007 ◽  
pp. 213-219
Author(s):  
J. Guan ◽  
S. Zhou ◽  
J. Zhou ◽  
F. Zhu
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Distributed Computing ◽  
Mobile Agent ◽  
Geographic Information ◽  
Mobile Internet ◽  
Web Gis ◽  
Agent Based ◽  
Gis Applications ◽  
System Project

This article presents the MADGIS (Mobile Agent-based Distributed Geographic Information System) project, which aims at integrating distributed Web GIS applications by using mobile agent technologies to overcome the limitations of traditional distributed computing paradigms in a (mobile) Internet context.

Data Mining as Support for Customer Relationship Management: A Case Study

2014 ◽  
Vol 13 (11) ◽  
pp. 5113-5120
Author(s):  
José Gonalo Dos Santos
Keyword(s):  
Data Mining ◽  
Information System ◽  
Customer Relationship Management ◽  
Relationship Management ◽  
Customer Relationship ◽  
Data Mining Technique ◽  
Mining Technique ◽  
Association Rules Discovery ◽  
Data Mining Application

This article describes the data mining application to CRM - Customer Relationship Management. The article starts with an introduction showing the importance of the CRM strategy for the company, after it’s introduced the theoretical about CRM, Knowledge Discovery Database and its stages, with emphasis to the mining stage and concludes with presentation of a case study and the conclusions. For the case study it was developed a prototype of an information system of a bookstore, it was implemented, beyond the conventional functions, the association rules discovery algorithm. The implementation of the data mining technique allowed to the system supply support so that the user knows better the client, becoming possible the application of the strategy of CRM.

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