Add to ORKGBig data is a new trend and big data analytics is gaining more importance among the data analyzers. Many researches are going around applying different algorithm to extract useful information from a large data set. The processing of big data can be handled through parallelizing the work. For this Hadoop has come with a new software programming model called as MapReduce. Only few Data mining algorithms are successfully implemented in MapReduce fashion and are applied to massive dataset. In this survey different clustering algorithms which can be applied for big data using MapReduce are discussed
Data is growing at every moment which makes it almost impossible to process all of it. More than a d...
MapReduce encompasses a framework in the processing and management of large scale datasets within a ...
Clustering techniques are very attractive for identifying and extracting patterns of interests from ...
Data clustering is one of the fundamental techniques in scientific analysis and data mining, which d...
Clustering is one of the most important applications of data mining. It has attracted attention of r...
AbstractWith the development of computer technology, there is a tremendous increase in the growth of...
MapReduce is a software framework that allows certain kinds of parallelizable or distributable probl...
The DBSCAN algorithm is a prevalent method of density-based clustering algorithms, the most importan...
The term Big data is one of the important terms now days for every sector. As there are no. of organ...
Abstract—Clustering is considered as one of the most important tasks in data mining. The goal of clu...
In current digital era extensive volume ofdata is being generated at an enormous rate. The data are ...
Recently, data that generated from variety of sources with massive volumes, high rates, and differen...
Aiming at the defects of traditional K-means clustering algorithm for big data, this paper provides ...
Data clustering is an important data mining technology that plays a crucial role in numerous scienti...
Abstract-Clustering is regarded as one of the significant task in data mining which deals with prima...
Data is growing at every moment which makes it almost impossible to process all of it. More than a d...
MapReduce encompasses a framework in the processing and management of large scale datasets within a ...
Clustering techniques are very attractive for identifying and extracting patterns of interests from ...
Data clustering is one of the fundamental techniques in scientific analysis and data mining, which d...
Clustering is one of the most important applications of data mining. It has attracted attention of r...
AbstractWith the development of computer technology, there is a tremendous increase in the growth of...
MapReduce is a software framework that allows certain kinds of parallelizable or distributable probl...
The DBSCAN algorithm is a prevalent method of density-based clustering algorithms, the most importan...
The term Big data is one of the important terms now days for every sector. As there are no. of organ...
Abstract—Clustering is considered as one of the most important tasks in data mining. The goal of clu...
In current digital era extensive volume ofdata is being generated at an enormous rate. The data are ...
Recently, data that generated from variety of sources with massive volumes, high rates, and differen...
Aiming at the defects of traditional K-means clustering algorithm for big data, this paper provides ...
Data clustering is an important data mining technology that plays a crucial role in numerous scienti...
Abstract-Clustering is regarded as one of the significant task in data mining which deals with prima...
Data is growing at every moment which makes it almost impossible to process all of it. More than a d...
MapReduce encompasses a framework in the processing and management of large scale datasets within a ...
Clustering techniques are very attractive for identifying and extracting patterns of interests from ...