sachin chavan - Academia.edu (original) (raw)
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Now a days mining of high utility itemsets especially from the big transactional databases is req... more Now a days mining of high utility itemsets especially from the big transactional databases is required task to process many day to day operations in quick time. There are many methods presented for mining the high utility itemsets from large transactional datasets are subjected to some serious limitations such as performance of this methods needs to be investigated in low memory based systems for mining high utility itemsets from large transactional datasets and hence needs to address further as well. Another limitation is these proposed methods cannot overcome the screenings as well as overhead of null transactions; hence, performance degrades drastically. During this paper, we are presenting the new approach to overcome these limitations. We presented distributed programming model for mining business-oriented transactional datasets by using an improved MapReduce framework on Hadoop, which overcomes single processor and main memory-based computing, but also unexpectedly highly scal...
Now a days mining of high utility itemsets especially from the big transactional databases is req... more Now a days mining of high utility itemsets especially from the big transactional databases is required task to process many day to day operations in quick time. There are many methods presented for mining the high utility itemsets from large transactional datasets are subjected to some serious limitations such as performance of this methods needs to be investigated in low memory based systems for mining high utility itemsets from large transactional datasets and hence needs to address further as well. Another limitation is these proposed methods cannot overcome the screenings as well as overhead of null transactions; hence, performance degrades drastically. During this paper, we are presenting the new approach to overcome these limitations. We presented distributed programming model for mining business-oriented transactional datasets by using an improved MapReduce framework on Hadoop, which overcomes single processor and main memory-based computing, but also unexpectedly highly scal...