International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064




Downloads: 122 | Views: 140

Survey Paper | Computer Science & Engineering | India | Volume 3 Issue 12, December 2014


A Survey Report on: Methodology for Extraction of Information from Web Pages by Using Clustering Algorithm

Mahesh Dabade | Shriniwas Gadage [2]


Abstract: This paper is about data extraction from top-k web pages, which explain top k occurrences of a subject that will be of ordinary interest. For example Best Catches ever, 50 best Android diversions 2014: our top picks, and so on. Contrasted with other sorted out data on the web including advertizing data, data in top-k gives is bigger and effective, of high caliber, and by and large additional fascinating. In this way best k gives are very important. For sample, it will likewise help improve open-domain information bottoms (to help projects, for example, inquiry or reality replying). In this report, we introduce an efficient system that extracts top-k providers from pages with superior performance. Specifically, we procure more than 1.69 million top-k gives from a site corpus of 1.59 billion pages with 91.9 % exactness and 72.29 % review.


Keywords: data extraction, top-k provides, record extraction, open-domain information, clustering


Edition: Volume 3 Issue 12, December 2014,


Pages: 345 - 347


How to Download this Article?

Type Your Email Address below to Download the Article PDF


How to Cite this Article?

Mahesh Dabade, Shriniwas Gadage, "A Survey Report on: Methodology for Extraction of Information from Web Pages by Using Clustering Algorithm", International Journal of Science and Research (IJSR), Volume 3 Issue 12, December 2014, pp. 345-347, https://www.ijsr.net/get_abstract.php?paper_id=SUB14411



Similar Articles with Keyword 'data extraction'

Downloads: 97

Review Papers, Computer Science & Engineering, India, Volume 3 Issue 11, November 2014

Pages: 1191 - 1194

Web Data Extraction by Using Trinity

Sayali Khodade | Nilav Mukharjee

Share this Article

Downloads: 101

Research Paper, Computer Science & Engineering, India, Volume 4 Issue 11, November 2015

Pages: 1579 - 1582

Data Hiding in H.264/AVC Video Encryption with XOR-ed User Information and Data in File Format

Neenu Shereef

Share this Article



Top