data analytics - bid data - data mining using map reduce framework
$30-250 USD
货到付款
Develop an algorithm based on apriori algorithm for frequent itemset mining using map reduce framework. The project will have two phases, and each phase will have map and reduce tasks. In phase 1, the map task will count the occurrence of each item and reduce task will filter out those items which have occurrence less than user specified support value and will have to store these results to a file.
This file along with the data set and support value will be given as input to map task in phase 2. Map task of phase 2 will check the data set for an item only if it is not present in phase1 output file. The reduce task will sum up all the counts of all itemsets, eliminate infrequent itemsets and and will copy remaining to the final output file.
项目ID： #10317613
关于项目
有11名威客正在参与此工作的竞标，均价$311/小时
I'm assuming the project is not about using an already-implemented apriori algorithm (Spark ML lib, Mahout etc.) but implementing fresh in Java Map Reduce.
I am an IITK graduate, 9 year experienced software professional and I have got top notch developers in my team, who have got experience across a span of technologies. The members in my team have worked with top notch t 更多
Hello I have working experience in developing and designing Map reduce Job in Java. For more infromation ping m
I am an expert data analyst and have experience in pattern analysis and support confidence framework. I can provide you implementation of both tasks,
Hi, I am amit. I have the experience in MapReduce and Java. I can implement the algorithm. Please let me know the deadline for this. looking forward to work on this. Regards, Amit Kumar
Hi, I’m dedicated professional Web and Desktop Programmer & Developer and also Team leader of my company. I have been working with challenge and hope to improve future plan with good network every client. If any clien 更多
Awesome ! I have been written so such sort of code project By the way I have five years experience base on hadoop included MR_1 MR2(Yarn)
I have completed some assignments in Map Reduce and Pig. Everything set up on my machine. Let me give this chance.I will do my best to do it.
