Using query based Multi-word Feature Extraction of Web Document Clustering

Miss Sukshmam, Durge, Mr Yogeshwar, M Kurwade, Vilas Thakare
2017 Thakare International Journal of Innovations & Advancement in Computer Science IJIACS   unpublished
The huge amount of data available in the web Information Industry. This type of data is no use until it is converted into useful information. To analyze this huge amount of data and extract useful information from it is necessary. This paper proposed methodology Using query based Multi-word Feature Extraction document clustering and produced meaningful document. This proposed algorithm improves performance and produce quality cluster.