MapReduce Implementation Based on vStarCloud

MapReduce Minimum Spanning Tree Based Data With Mapreduce Implementation

Parallel Implementation of Multiple Linear Regression Algorithm Based on MapReduce

The amount of data generated by traditional business activities, creating data repositories ranging from terabytes to petabytes in size. However, this information cannot be practically analyzed on a single commodity computer because the data is too large to fit in memory. For this purpose, the large size of data to be processed requires the use of high-performance analytical systems running on ...

MapReduce-based fuzzy c-means clustering algorithm: implementation and scalability

The management and analysis of big data has been identified as one of the most important emerging needs in recent years. This is because of the sheer volume and increasing complexity of data being created or collected. Current clustering algorithms can not handle big data, and therefore, scalable solutions are necessary. Since fuzzy clustering algorithms have shown to outperform hard clustering...

Study on Parallel SVM Based on MapReduce

Support Vector Machines (SVM) are powerful classification and regression tools. They have been widely studied by many scholars and applied in many kinds of practical fields. But their compute and storage requirements increase rapidly with the number of training vectors, putting many problems of practical interest out of their reach. For applying SVM to large scale data mining, parallel SVM are ...

Implementation and Analysis of MapReduce on Biomedical Big Data

Organizing and maintaining the big data are the two major concerns which have led to many challenges for the organization. The main objective of this research work is to give an overall idea about organizing Big data with High performance. MapReduce is one of the commonly used techniques which is used to analyze a large volume of data in an efficient manner. A common overview of Big data and th...