Dissertation > Excellent graduate degree dissertation topics show

Association Rule Mining Algorithm and It’s on Vocational School Teaching Evaluation System Applied Research

Author: ChenZhengQuan
Tutor: ZhuYanQin
School: Suzhou University
Course: Applied Computer Technology
Keywords: Data Mining Association Rule Apriori Algorithm Teaching Evaluation
CLC: TP311.13
Type: Master's thesis
Year: 2011
Downloads: 87
Quote: 0
Read: Download Dissertation

Abstract


Data mining is applying a series of techniques to collect information and knowledge from large databases or data warehouses that are interested by people. The purpose of the association analysis is mining the relationships that are hidden in the data, and the correlations between the items are described by using the association rules. It reflects the close degree or relationship between data items in a group. As an important branch of data mining, association rules have been used in many fields, but have not yet been widely used in the field of education.Teaching evaluation is based on the related policies, regulations, personnel training target, the use of education evaluation theory and methods, the teaching process and carry out activities to make value judgments in comprehensive, objective, and impartial ways on the teachers’job performances. In order to improve the deficiency in the teaching process, the teaching evaluation should be based on the teaching effect, to determine the scientific evaluation system, to find out the various influential factors of the teaching quality and effect. Teaching evaluation process is complex, multi-factor and fuzziness etc,the evaluation results may be deviated from the actual situation been evaluated. Therefore, the enhancement of scientific, objectivity and accuracy of the teaching evaluation is a very important topic in the modern teaching evaluation.The discovery of the association rules can be decomposed into two steps. The first step consists of finding all the frequent item-sets and the second step involves using the frequent item-sets to generate strong association rules. The Apriori algorithm is a classical algorithm that generates frequent item-sets. The basic idea of it is to use the layer-by-layer search iterative method for generating the frequent item-sets. Due to the multiple scanned databases and the large number of the candidate item-sets generation, it is time consuming to perform such algorithm and results in low efficiency for the mining process.This paper analyzes the classical Apriori algorithm and provides an improved Apriori algorithm to counter its’deficiency. This paper draws lessons from both domestic and foreign college teaching evaluation experiences and combines the reality of vocational schools to propose a set of teaching evaluation system. On this basis the teaching evaluation data mining module is designed and how the large amount of data in the evaluation system and the association rule mining are used for data mining research. Finally, the paper discussed how the improved algorithm is applied to the evaluation of teaching quality and the students’achievement data mining to obtain the linkage between the impact of teaching and the titles and ages of the teachers and the connection between one course grade and other courses’grades.

Related Dissertations

  1. A Study on Healthcare Product Marketing Based on Data Mining Technology,F426.72
  2. Gao Zhong-ying academic thought and experience and use of Bufei Decoction treatment of common diseases of the respiratory system drug law,R249.2
  3. Bing- thick academic thought and clinical experience and empirical studies apply to turtle soups treatment of chronic kidney disease,R249.2
  4. The Application of Fuzzy Comprehensive Evaluation Based on Genetic Algorithm in Vocational Evaluation of Classroom Teaching,G712
  5. The Design and Implementation of Bicluster Data Analyzing Software,TP311.52
  6. Research on Clustering Algorithm Based on Mutation Particle Swarm Optimization,TP18
  7. Research on Fuzzy C-Mean Clustering Algorithm Based on Particle Swarm Optimization and Shuffled Frog Leaping Algorithm,TP18
  8. Research on Clustering Algorithm Based on Genetic Algorithm and Rough Set Theory,TP18
  9. Community-oriented education, personalized learning system and its implementation,TP391.6
  10. Association rule mining based Intrusion Detection System Research and Implementation,TP393.08
  11. Heilongjiang University undergraduate teaching assessment system improvement and practice,G642.4
  12. The Application of Association Rules Algorithm in Higher Vocational Colleges’ Endorsement of Impoverished Students,G717
  13. Based on Data Mining Technologies in Urban Water Supply Analysis and Decision,F299.24;F224
  14. Research on Application of Data Mining Technology in Degree of Satisfaction Analysis of Television Customers,TP311.13
  15. Web Usage Mining and the Research of Personalized Recommendation,TP311.13
  16. Adaptive Learning Environment Behavior Associated with the Level of Learning Research Model,G434
  17. Research on Employment Monitoring System of University Graduate,G647.38
  18. Design and Research of a Tree Data Structure for Mass Data’s Comprehensive Evaluation,TP311.12
  19. A Research on Prediction of Academic Record Based on Neural Network and Cover Algorithm,TP311.13
  20. Data Mining Research Basedo on Governmnet Procurement Funds,TP311.13
  21. Structural Browsing Technology Based on Association Rules and It’s Application,TP391.41

CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer software > Program design,software engineering > Programming > Database theory and systems
© 2012 www.DissertationTopic.Net  Mobile