数据挖掘算法..docVIP

面向大数据应用的数据挖掘算法研究 STUDY ON THE ALGORITHM FOR BIG DATA APPLICATIONS IN DATA MINING 专 业：计算机科学与技术 姓 名：指导教师姓名：申请学位级别：士 论文提交日期：201年6月日 学位授予单位：天津科技大学 摘要Apriori算法，对Apriori算法的发展做了深入研究，验证了改进算法的正确性。另外，由于互联网在大数据时代的不断发展，作为衡量网页价值的重要算法，PageRank算法的重要性也不可小觑。为了让互联网能够更高效得从庞大的网络数据中寻找出我们真正需求的信息，本文对PageRank算法进行了深入研究，并且分析了其改进性能。 通过对这两个重要算法的研究，期望以后能够提出更好的改进方法，以适应大数据时代的要求。 关键词：Apriori算法 ；PageRank算法 ABSTRACT Data is the source of knowledge, which includes the figures, text, image, sound, etc...generated by each movement in the present social activity.If you compare data to an ore, data mining is equivalent to mining or panning for gold from this ore. For half a century, with the computer into the tens of thousands of households,data generated by the peoples daily activities straight up, especially in recent years, data showed explosive growth, big data” era followed.?And in the era of big data, data mining plays a very important role, who can take the initiative, and master the most advanced data mining method can truly pan for gold from the data ore mountains. One important task of data mining research is association rule mining, which is the purpose of mining for meaningful association from transaction database. In the era of big data, as the massive data is collected and stored,the association rules are becoming more and more important, and it permeates every industry in todays society.In order to meet the requirements of the era of big data for data mining, this paper studies a classical algorithm of mining association rules—— the Apriori algorithm。This paper gives an in-depth study to the development of the Apriori algorithm, and verifies the correctness of the improved algorithm. Further, the Internet continuing to develop in the era of big data, as an important method to measure the pages value, the importance of PageRank algorithm to be overlooked. In order to make the Internet more efficiently to help us find out the real needs of information from th