An Overview on Big Data, Clustering Algorithms, andTrends

The rapid growth of data prompts Big Data to emerge as a new research area that has gained muchattention in comparison with recent past. By fast pace of technology we are witnessing great productionof data in wide range of science. Thus, such novel conditions imposed by Big Data reveal seriouschallenges at different data manipulation levels. Analyzing this huge volume of various data beinggenerated rapidly, considering its veracity, is not easily available; in the case that traditional dataanalysis techniques may not be able to tackle such a huge complex amount of data in all situations,some new techniques of Big Data mining are designed. In response to these difficulties, new approachesof Big Data analysis mostly rooted in traditional ones consider the variability and complexity of datastored in proper format of Big Data. The current research after introducing this newly born technologyand the recently developed techniques of Big Data analyzing studies the related challenges in this field.Particularly, clustering approaches, as one of the most effective steps in data mining, are widely appliedto Big Data analysis process. After a deeply valuable discussion on the issue, further research directionof Big Data clustering are presented.

کلیدواژه ها:

Big Data ، Big Data methods and applications ، Clustering Algorithm ، Big Data mining