Category Archives: BIGDATA PROJECTS

Disease Prediction by Machine Learning over Big Data from Healthcare Communities IEEE Bigdata Projects

Disease Prediction by Machine Learning over Big Data from Healthcare Communities ABSTRACT : With enormous information development in biomedical and medicinal services groups, precise investigation of medical-data benefits early sickness recognition, understanding consideration and group administrations. In any case, the analysis accuracy is lessened when the nature of medical information is inadequate. In addition, distinctive… Read More »

Practical Privacy-Preserving MapReduce Based K-means Clustering over Large-scale Dataset Bigdata Projects

Privacy-Preserving MapReduce Based K-implies Clustering over Large-scale Dataset ABSTRACT : Grouping is one noteworthy assignment of exploratory information mining and factual information examination, which has been universally received in numerous spaces, including human services, interpersonal organization, picture investigation, design acknowledgment, and so on. In the interim, the fast development of huge information engaged with the… Read More »

Cost-Aware Big Data Processing across Geo-distributed Data centers big data projects

ABSTRACT: The immense requests on huge information handling force a substantial load on calculation, stockpiling, and correspondence in server farms, which consequently brings about significant operational use to server farm suppliers. In this way, cost minimization has turned into an emanant issue for the up and coming enormous information time. Unique in relation to regular… Read More »

FiDoop-DP: Data Partitioning in Frequent Itemset Mining on Hadoop Clusters Bigdata Hadoop Projects

ABSTRACT: Conventional parallel calculations for mining successive itemsets plan to adjust stack by similarly parceling information among a gathering of processing hubs. We begin this examination by finding a genuine execution issue of the current parallel Frequent Itemset Mining calculations. Given an expansive dataset, information dividing techniques in the current arrangements endure high correspondence and… Read More »