The Big Data Mining Approach For Finding Top Rated URL

• Autorzy: Shyam Mohan J. S. , Shanmugapriya P. , Bhamidipati Vinay Pawan Kumar Bhamidipati Vinay Pawan

Identyfikatory

DOI

10.1515/jacsm-2015-0007

• Języki publikacji: EN

Abstrakty

EN

Finding out the widely used URL’s from online shopping sites for any particular category is a difficult task as there are many heterogeneous and multi-dimensional data set which depends on various factors. Traditional data mining methods are limited to homogenous data source, so they fail to sufficiently consider the characteristics of heterogeneous data. This paper presents a consistent Big Data mining search which performs analytics on text data to find the top rated URL’s. Though many heuristic search methods are available, our proposed method solves the problem of searching compared with traditional methods in data mining. The sample results are obtained in optimal time and are compared with other methods which is effective and efficient.

Słowa kluczowe

EN

big data; data mining

• Wydawca: Społeczna Akademia Nauk w Łodzi
• Czasopismo: Journal of Applied Computer Science Methods
• Rocznik: 2015
• Tom: Vol. 7 No. 1
• Strony: 17--32
• Opis fizyczny: Bibliogr. 21 poz., rys., tab.

Twórcy

autor

Shyam Mohan J. S.

• Assistant Professor, Dept. Of CSE, SCSVMV University

autor

Shanmugapriya P.

• Associate Professor, Dept. Of IT, SCSVMV University

autor

Bhamidipati Vinay Pawan Kumar Bhamidipati Vinay Pawan

• IV-B.E.(CSE), SCSVMV University

Bibliografia

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