Research on the Data Mining System Based on B/S Framework and Algrotithm

Abstract:

with the development of computer information science and technology, the acquirement and access of data from huge database become more and more convenient. Not all the algorithm of different database is the same. Data mining finds the method of characteristic demand data from a large amount of information. It searches data according to relevance and clustering of data. This paper presents a new data mining system---B / S framework and establishes rules of data mining algorithms and mathematical models using fuzzy membership function and Apriority algorithm. This paper establishes a set of data mining system related with subjects learn of driving school taking the driving school for example and using multi-layer B / S framework mathematical model and results of driving candidates. It also finds the importance of each study subject. It proposes data reference for the order of the learn subjects of driving school which provides a theoretical reference for the study of data mining algorithms and systems.

• Periodical: Applied Mechanics and Materials (Volumes 380-384)
• Pages: 1558-1562
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.380-384.1558
• Online since: August 2013
• Authors: Hui Ding, Yao Zong Liu
• Keywords: Apriority Algorithm, B/S Framework, Clustering, Correlation, Data Mining (DM), Fuzzy Membership Functions

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