- Tytuł:
- The Big Data Mining Approach For Finding Top Rated URL
- Autorzy:
-
Shyam Mohan, J. S.
Shanmugapriya, P.
Kumar, Bhamidipati Vinay Pawan - Powiązania:
- https://bibliotekanauki.pl/articles/108631.pdf
- Data publikacji:
- 2015
- Wydawca:
- Społeczna Akademia Nauk w Łodzi
- Tematy:
-
big data
data mining - Opis:
- 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.
- Źródło:
-
Journal of Applied Computer Science Methods; 2015, 7 No. 1; 17-32
1689-9636 - Pojawia się w:
- Journal of Applied Computer Science Methods
- Dostawca treści:
- Biblioteka Nauki
Artykuł