Based on the analysis on the problems that traditional Decision Support Systems faces, the article takes up a further discussion on data base and On - Line Analytical Processing technology, and focuses on the application prospects of Data Base, OLAP and Data Mining technology in a higher - level Decision Support Systems.
The article introduces the related knowledge of data mining technology and its application in the customer management,takes the example of analyzing the customer reducing,describes the entire application process of data mining,and finally has carried on the analysis of the present situation to the domestic data mining application.
Data mining diagnosis system based on rough set theory for boilers in thermal power plants
Clustering high dimensional data has become a challenge in data mining due to the curse of dimensionality.
Study of operation optimization based on data mining technique in power plants
Based on a large amount of history data stored in power plants, a way of operation optimization by applying data mining technique is proposed.
The structure of operation optimi-zation based on data mining is established and the fuzzy association rule mining algorithm is introduced to find the operation optimization target value to guide the operation in power plants.
In the paper, an attempt is made to develop an approach to analysis of seismic signals with the use of Data Mining techniques.
Several data mining techniques such as Hidden Markov Model (HMM), artificial neural network, statistical techniques and expert systems are used to model network packets in the field of intrusion detection.
Visual data mining is one of important approach of data mining techniques.
Remote sensing image classification with GIS data based on spatial data mining techniques
Data mining techniques are used to discover knowledge from GIS database in order to improve remote sensing image classification.