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: 3 | Views: 14

Survey Paper | Computer Engineering | India | Volume 10 Issue 11, November 2021


Investigation of Automatic Data Extraction Method from Complex Web Pages

Nitin More | Rupali A. Mangrule


Abstract: The Internet presents great deal of helpful info that is sometimes formatted for its users, that makes it laborious to extract relevant knowledge from numerous sources. Therefore, there's a big would like of strong, versatile info Extraction systems that remodel the net pages into program friendly structures like a computer database can become essential. The projected system focuses on info extraction from websites. We tend to cluster the net documents supported the common example structures so the example for every cluster is extracted at the same time. The planet wide net could be a huge and speedily growing supply of helpful info that is employed to publish and access the knowledge on the net. It uses totally different templates with contents for providing quick access for readers. This is often wont to extract info from example websites.


Keywords: Information Extraction, Clustering, Minimum Description Length Principle, MinHash, Template extraction, Clustering web pages


Edition: Volume 10 Issue 11, November 2021,


Pages: 668 - 671


How to Download this Article?

Type Your Email Address below to Download the Article PDF


How to Cite this Article?

Nitin More, Rupali A. Mangrule, "Investigation of Automatic Data Extraction Method from Complex Web Pages", International Journal of Science and Research (IJSR), Volume 10 Issue 11, November 2021, pp. 668-671, https://www.ijsr.net/get_abstract.php?paper_id=SR211112161356



Similar Articles with Keyword 'Information'

Downloads: 0

Research Paper, Computer Engineering, India, Volume 11 Issue 10, October 2022

Pages: 706 - 712

The Age of Financial Frauds and using Random Forest Machine Learning to Predict Fraudulent Transactions

Dilsher Singh

Share this Article

Downloads: 0

Research Paper, Computer Engineering, India, Volume 11 Issue 11, November 2022

Pages: 955 - 957

QR Code for Banking

Akul Desai

Share this Article



Top