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Research on Information Intelligent Collection Model of Service Consultation System
- Source :
- Procedia CIRP. 83:779-784
- Publication Year :
- 2019
- Publisher :
- Elsevier BV, 2019.
-
Abstract
- Constructing information intelligent collection model of service consultation system by means of data mining, intend to lay a foundation for designing the service consultation intelligence system. Comparative analyze each consulting subject current status, process, deficiency and information collection situation of different service consultation system, and construct information intelligent collection model of service consultation system. This model integrates the basic process of consultation intelligence collection and uses the data mining technology, realizes an integrated function of collection, procession and intelligent analysis of service consultation intelligence, enhances the cooperation and intelligence of information and intelligence collection, realizes the automation and intellectualization of the knowledge acquisition of consultation. Through analysis, using data mining, feature recognition and many other technologies in the information collection of service consultation system is an effective way to improve the intelligence of service mode consultation, as well as the important development direction of intelligent service consultation system.
- Subjects :
- 0209 industrial biotechnology
Service (systems architecture)
Knowledge management
Computer science
business.industry
Process (engineering)
media_common.quotation_subject
Feature recognition
02 engineering and technology
Construct (python library)
010501 environmental sciences
01 natural sciences
Knowledge acquisition
Automation
020901 industrial engineering & automation
General Earth and Planetary Sciences
Intellectualization
business
Function (engineering)
ComputingMilieux_MISCELLANEOUS
0105 earth and related environmental sciences
General Environmental Science
media_common
Subjects
Details
- ISSN :
- 22128271
- Volume :
- 83
- Database :
- OpenAIRE
- Journal :
- Procedia CIRP
- Accession number :
- edsair.doi...........7e58223a7a72b0e100112b6fd2429842
- Full Text :
- https://doi.org/10.1016/j.procir.2019.05.006