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Web Association Rules Mining Based on Improved Genetic Algorithm

Author: CuiLianWei
Tutor: LiuTieYing
School: Inner Mongolia University
Course: Management Science and Engineering
Keywords: Genetic Algorithms Web Data Mining Association rules Simulated annealing algorithm
CLC: TP393.09
Type: Master's thesis
Year: 2010
Downloads: 117
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Abstract


In recent decades, the rapid development of the World Wide Web makes it the world's largest public data sources . Faced with the emergence of the information era of massive data , how to effectively use the original data analysis of the status quo in order to predict the future , has become a major challenge facing humanity . Thus , Web data mining technology came into being , and the rapid development. Web data mining , both in theoretical research and in applied research has become a very popular topic . Many scholars began to seek to use genetic algorithm to solve Web data mining problems . Genetic algorithm in solving the issue of Web data mining also has some drawbacks . The paper first introduces the ideas and steps of the algorithm of the typical genetic algorithm , Web association rule mining algorithm based on improved genetic algorithm is proposed based on the analysis of the genetic algorithm performance bottlenecks , from the encoding method , the structure of the fitness function , crossover operator and the mutation operator design and other aspects of the detailed discussion and analysis . Secondly , in the process , discussed in detail the reasons for the problem of genetic algorithm precocious , and Boltzman survival mechanism of the simulated annealing algorithm to solve typical genetic algorithm precocious and establish adaptive crossover probability , at the same time using the Matlab environment write a program to solve the model and simulation of the genetic algorithm search process . The experimental results show that the improved genetic algorithm is applied in association rule mining on the Web , both in the number of association rules obtained , accuracy, or have a distinct advantage in the algorithm time-consuming .

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Computer network > General issues > The application of computer network
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