Application of Temporal Data Mining Techniques for Social Network Analysis

Data mining is the extraction of projecting information from large data sets, is a great innovative technology. The overall goal of the data mining process is to extract information from a data set and transform it into an understandable structure for further use. Web sites contain millions of unprocessed raw data. By analyzing this data new knowledge can be gained. Since this data is dynamic and unstructured traditional data mining techniques will not be appropriate. This paper presents study about social networks using Temporal mining techniques.

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Application of Temporal Data Mining Techniques for Social Network Analysis

Semantic Scholar · Computer Science · 2018

Abstract

Data mining is the extraction of projecting information from large data sets, is a great innovative technology. The overall goal of the data mining process is to extract information from a data set and transform it into an understandable structure for further use. Web sites contain millions of unprocessed raw data. By analyzing this data new knowledge can be gained. Since this data is dynamic and unstructured traditional data mining techniques will not be appropriate. This paper presents study about social networks using Temporal mining techniques.

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