Input : I have dataset of mineral data resources in US.
Modules : 1. Clustering based on states present in the dataset e.g. There are records containing Alaska state
so all the records having alaska state should go into the alaska folder using Hadoop Partitioning technique.
[url removed, login to view] of records based on type of resource. E.g. if Alaska state having different reources available like
gold, silver ,copper etc. Respective folder should be created using hadoop map reduce partitioner again.
3. Implementation of Apriori algorithm to find out the relation between resources. E.g In alaska state we may find gold and silver. so we have
to find out the support and confidence for the same. Means the probability of having gold and silver both in that state so that person will
will decide while mining gold they should go for silver or not?
14 freelancers are bidding on average ₹46592 for this job
Hi, I have 1+ year of experience in hadoop map reduce, hive and pig. Currently I am working with MNC. I can do your work. Cloud you pls send me sample data to my email id [url removed, login to view]
6+ years of experience in machine learning and master degree holder in computer science. Expertise in R,WEKA, JAVA,PYTHON, Hadoop, MapReduce. Worked on many projects in machine learning.