Downloads: 127 | Views: 350
Review Papers | Computer Science & Engineering | India | Volume 5 Issue 6, June 2016 | Popularity: 6.1 / 10
Design Issues in Web Crawlers and Review of Parallel Crawlers
Komal, Dr. Ashutosh Dixit
Abstract: With the increase in size of web, search engine depends upon the Web Crawler to download and build index of million/billion of pages for efficient information retrieval when user interact through search interface. This paper will include the definition of Web Crawler, criteria on the basis of which various types of crawler are defined [4] and some common issues with the design of crawler, parallel crawler, its issues and comparison of solutions provided by researchers.
Keywords: WWW, URL, Mobile Crawler, Web Crawler, Mobile Agents, Parallel Crawler
Edition: Volume 5 Issue 6, June 2016
Pages: 61 - 64
DOI: https://www.doi.org/10.21275/NOV163887
Make Sure to Disable the Pop-Up Blocker of Web Browser
Similar Articles
Downloads: 105
Review Papers, Computer Science & Engineering, India, Volume 3 Issue 11, November 2014
Pages: 1617 - 1619A Review of Domain Clustering Using Adaptive Preprocessing
Poonam Nagale, Alka Vishwa
Downloads: 107 | Weekly Hits: ⮙2 | Monthly Hits: ⮙2
Research Paper, Computer Science & Engineering, India, Volume 3 Issue 7, July 2014
Pages: 1578 - 1583Learning to Cluster Feedback Session for Identification of User Search Objective
Manjiri M. Kokate, Poonam D. Lambhate
Downloads: 107
Survey Paper, Computer Science & Engineering, India, Volume 4 Issue 10, October 2015
Pages: 1434 - 1436Method for Repossession of Content Based Video using Speech and Text Information
Manasi A. Kabade, U.A. Jogalekar
Downloads: 108
Survey Paper, Computer Science & Engineering, India, Volume 3 Issue 11, November 2014
Pages: 1152 - 1154A Survey on Content based Video Retrieval Using Speech and Text information
Laxmikant S. Kate, M. M. Waghmare
Downloads: 108
Review Papers, Computer Science & Engineering, India, Volume 5 Issue 5, May 2016
Pages: 1600 - 1606A Review of Web of Things and Request Dependency Graph Analysis and Mining
Preeti Gungrao Patil, Mansi Bhonsle