Agent and data mining based decision support system and its adaptation to a new customer-centric electronic commerce

Lee, Jang Hee; Park, Sang C.

doi:10.1016/s0957-4174(03)00101-5

Cited by 26 publications

(19 citation statements)

References 15 publications

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“…Incorporating data mining techniques in a decision support system can aid the decision-making process through a set of recommendations reflecting domain expertise [61]. It provides information and knowledge which can be crucial for the decision-making process.…”

Section: Proposed Architecturementioning

confidence: 99%

A data mining integrated architecture for shop floor control

Srinivas

Harding

2008

Proceedings of the Institution of Mechanical Engineers, Part B:

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The dynamics of the market are forcing shop floor control systems to enhance their intelligence and reactivity to change. The control system must also have mechanisms to process the vast amount of data, which is generated with the application of cheap data logging systems and should also incorporate a mechanism for continuous learning. Data mining provides a mechanism for analysing data and generating new knowledge. This paper presents an intelligent knowledge-based decision support system for shop floor control, which incorporates data mining techniques and intelligent agent technology to provide useful information, knowledge, and a mechanism for continuous learning. The functioning of the system is described and the architecture of different agents that constitute the system has been discussed in terms of the different modules required. A process to integrate the individual data mining agents associated with the different processes has also been described. Finally a prototype of the system is presented to demonstrate the application of this agent-based system.

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Section: Proposed Architecturementioning

confidence: 99%

A data mining integrated architecture for shop floor control

Srinivas

Harding

2008

Proceedings of the Institution of Mechanical Engineers, Part B:

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“…The definition of agents is still a research issue and the boundary between an 'intelligent program and agent overlap with each other as can be seen from several literatures [162][163][164][165][166]. Several authors including [135,167,168] have used agent based data mining systems to discover useful knowledge in the contexts of multi criteria decision making, e-con-imerce and shop floor control respectively. One of the major reasons to choose the agent based modules is their flexibility to interact with the other modules of the system.…”

Section: Process Model Of Kdmmentioning

confidence: 99%

Knowledge Discovery For Moderating Collaborative Projects

Choudhary

Harding

Popplewell

2006

2006 IEEE International Conference on Industrial Informatics

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“…Sales promotion for marketing is product-oriented, and in the past, enterprises had little consideration of what customers need. Nowadays, however, the products sold by enterprises are customer-oriented and they are demanded by customers so they are studied strictly (Lee and Park, 2003). This change in the retail industry had made enterprises customer-oriented even when they create promotional catalogs.…”

Section: Introductionmentioning

confidence: 99%