2017International Journal of Advanced Research in Computer ScienceOpen access

PREDICTIVE ANALYTICS CONCEPTS IN BIG DATA- A SURVEY

S. Banumathi

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Abstract

Nowadays the increase of data variety considered very dispute problem for analysis. So innovative methods are mandatory for analytics especially in big data where the data in characteristic very complex and unstructured. The analytics is the process of analysis to predict concealed pattern and association among data. The main objective of this survey paper is to provide the exhaustive view of different predictive analytics applications and approaches. Analytics methods focused with dissimilar perspectives based on applications and data variety. Some of the application discussed is big data in hotel governance, higher education, health care, data e-governance, consumer orientations. This paper present different predictive approaches adapted for different application with challenges and suggestions.

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Nowadays the increase of data variety considered very dispute problem for analysis. So innovative methods are mandatory for analytics especially in big data where the data in characteristic very complex and unstructured. The analytics is the process of analysis to predict concealed pattern and association among data. The main objective of this survey paper is to provide the exhaustive view of different predictive analytics applications and approaches. Analytics methods focused with dissimilar perspectives based on applications and data variety. Some of the application discussed is big data in hotel governance, higher education, health care, data e-governance, consumer orientations. This paper present different predictive approaches adapted for different application with challenges and suggestions.

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Available abstract

Nowadays the increase of data variety considered very dispute problem for analysis. So innovative methods are mandatory for analytics especially in big data where the data in characteristic very complex and unstructured. The analytics is the process of analysis to predict concealed pattern and association among data. The main objective of this survey paper is to provide the exhaustive view of different predictive analytics applications and approaches. Analytics methods focused with dissimilar perspectives based on applications and data variety. Some of the application discussed is big data in hotel governance, higher education, health care, data e-governance, consumer orientations. This paper present different predictive approaches adapted for different application with challenges and suggestions.

Key concepts: Variety (cybernetics), Computer science, Big data, Data science, Predictive analytics, Data analysis, Analytics, Corporate governance

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