Many techniques have been proposed to implement the Apriori algorithm on MapReduce
framework but only a few have focused on performance improvement. FPC (Fixed Passes …

The data being generated today is massive in terms of volume, velocity, and variety. It is a
great challenge to derive knowledge from data in this condition. Researchers, therefore …

Searching frequent itemset in large size diverse database is one of the most important data
mining problem and as existing algorithms are insufficient in mechanism that enables …

The most significant problem of data mining is the frequent itemset mining on big datasets.
The bestknown basic algorithm for frequent mining itemset is Apriori. Due to the drawbacks …

In contrast to HPC clusters, when big data is processing in a distributed, particularly dynamic
and opportunistic environment, the overall performance must be impaired and even …

This paper identifies four common misconceptions about the scalability of volunteer
computing on big data problems. The misconceptions are then clarified by analyzing the …

Chemotherapeutics are the major treatment options for cancer. Although we cannot
underestimate the importance of the chemotherapeutic drugs, their systemic toxicity is an …

<b>Retracted:</b> A survey on big data processing: techniques, issues and challenges | Journal
of Fundamental and Applied Sciences Main Navigation Main Content Sidebar Register Login …

Interface for tenants (institutes) Scalable EXTRACT-TRANSFORM-LOAD (ETL) processes
OLAP queries processed in an efficient and scalable manner To study perform analysis on …