A high precision recognition method for abnormal data in an optical network based on data mining

2020 ◽  
Vol 33 (1) ◽  
pp. 33
Author(s):  
Jinkun Sun
Keyword(s):  
Data Mining ◽  
High Precision ◽  
Optical Network ◽  
Recognition Method

Research on Key Technology of Data Mining for Volleyball Game Based on Service System

2014 ◽  
Vol 543-547 ◽  
pp. 4698-4701
Author(s):  
Juan Wang
Keyword(s):  
Data Mining ◽  
High Precision ◽  
Service System ◽  
Processing System ◽  
Machining Process ◽  
Precision Machining ◽  
Intelligent Processing ◽  
Mining Model ◽  
Processing Cycle ◽  
Key Parameter

During the processing of aircraft and other high precision machinery workpieces, if using the traditional machining methods, it will consume a amount of machining costs, and the mechanical processing cycle is long. In this context, this paper designs a kind of robot intelligent processing system with high precision machinery. And it has realized the intelligent online control on the machining process by using the high precision machining intelligent online monitoring technology and the numerical simulation prediction technology. Finally, this system is introduced into the process of data mining for volleyball game, and designs the partial differential variational data mining model, which has realized the key parameter data mining of volleyball games service system, and has provided reliable parameters and technical support for the training of volleyball players.

Case of study: Photovoltaic faults recognition method based on data mining techniques

2016 ◽  
Vol 8 (4) ◽  
pp. 043506 ◽  
Author(s):  
Lucia Serrano-Luján ◽  
Jose Manuel Cadenas ◽  
Juan Faxas-Guzmán ◽  
Antonio Urbina
Keyword(s):  
Data Mining ◽  
Recognition Method ◽  
Data Mining Techniques

A Survey on Application of Data Mining on Transformer Condition Assessment

2014 ◽  
Vol 556-562 ◽  
pp. 4031-4034
Author(s):  
Xin Chen ◽  
Yan Xu
Keyword(s):  
Data Mining ◽  
Rough Set Theory ◽  
Fuzzy Theory ◽  
Research Result ◽  
Principal Component ◽  
Condition Assessment ◽  
Complex Data ◽  
Recognition Method ◽  
Bayes Network ◽  
Data Processing Methods

People’s attention of transformer condition assessment is increasing in recent year and data mining is applied in transformer condition assessment with its obvious superiority in dealing with complex data and finding potential problems. In this paper, the process of the research on applying data mining to transformer condition assessment is summarized. The research results of data processing methods such as rough set theory, principal component analysis and colony algorithm as well as the research result of transformer condition assessment such as vector machine, neural network, Bayes network, association rules and fuzzy theory are introduced, analyzed and compared in detail. The advise on the choice and quantification of figure, the employ of the pattern recognition method, the blend of multi-information and visualization display are given.

scholarly journals An analysis of brain neoplasm identification by employing data mining methods

2018 ◽  
Vol 7 (1.7) ◽  
pp. 217
Author(s):  
D Sujeetha Lakshmi ◽  
Tamilmani G
Keyword(s):  
Data Mining ◽  
Brain Tumor ◽  
Brain Neoplasm ◽  
Health Data ◽  
Medical Data ◽  
Medical Data Mining ◽  
Recognition Method ◽  
Constructive Models ◽  
Clustering And Classification ◽  
Mining Methods

Data mining is a prevailing way for mining constructive models or information from illustration and relating to data exercises. Medical data mining is awfully significant field as it has considerable efficacy in healthcare field in the factual life. Clustering and Classification are the accepted data mining ways employed to appreciate the dissimilar characteristics of the health data exercise. This manuscript is paying attention on considerate diverse proficiencies for the recognition of brain neoplasm which is an indispensable resolution building characteristic and is a ingredient of healthcare appliance. Brain tumor is an existence frightening bug which develops difficulties like brain injure, amnesia etc. There subsist a range of data mining proficiencies for premature review of brain neoplasm from raked brain metaphors. The chief scheme of this manuscript is to here an indication about brain neoplasm recognition method and a range of data mining procedures adopted in this structure.

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