The Improved Apriori Algorithm Based On Hadoop Calculation Model

With the rapid development of the Internet, various fields has already cannot do withoutit now, computers, mobile phones have become an indispensable part of us, the Internetprovides us with a lot of convenience, you can check in online learning information, you canchat, work, You can shop and so on, at the other end of the Internet is to provide services forour usual individual businesses, enterprises. As more and more Internet users, customerinformation stored in various businesses, the greater the amount of information constantlyincreases, the greater the challenges of their work, how to manage these information anddata, how the data will use the information has become an unavoidable problem. Technologycontinues to develop, through the developers’ research and practice found that the data miningalgorithms and cloud computing to process large data parallelism have a negligible effect, butalso to get unexpected information from large data laws now there are many areas haveapplied this idea up and get the recognition.This paper analyzes the various stages Apriori algorithm and data mining associationrules, in order to be used for static regular database data mining Apriori algorithm used in adistributed system, the Apriori algorithm is used to optimize the static data mining adjusted toapply Hadoop distributed computing platform model, and can complete all the functions of aconventional data mining processing on distributed platforms, the final results validate thefeasibility of the improved algorithm. This is for the use of a distributed architecture tohandle large data mining has high reference value.