COMPARATIVE STUDY OF DATA MINING ALGORITHMS FOR HIGH DIMENSIONAL DATA ANALYSIS

The main objective of this research paper is to prove the effectiveness of high dimensional data analysis and different algorithm in the prediction process of Data mining. The approach made for this survey includes , an extensive literature search on published papers as well as text books in the application of Data mining in prediction. Many data tables were searched for this purpose and research was conducted during JAN 2009 -2012 and I have retrieved many published articles on the usage of Data mining algorithm in prediction. I have retrieved those articles by searching the data bases with the usage of the keywords “data mining and algorithm”. Titles of the articles were analyzed by usage of association rules that analyze the most frequently used words. The main algorithm which were includes in this survey are decision tree, k-means algorithm ,and association rules. I have Studied each algorithm with the help of high dimensional data set with UCI repository and find the advantages and disadvantages of each and made a comparative result for this.