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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM39830
Volume:
8 |
12 |
Dec 2024
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
This paper explores the integration of web data mining with web crawlers, focusing on how various web crawlers—Apache Nutch, G-Boats, and Bing Bot—collect and process web data. Apache Nutch, with its scalable distributed crawling capabilities and integration with Hadoop, excels in handling large-scale data collections. G-Boats offers real-time data processing with a flexible framework, while Bing Bot demonstrates advanced algorithms for web indexing and search engine optimization. The paper compares these crawlers, highlighting their strengths and weaknesses in scalability, fault tolerance, content extraction, and big data integration. The conclusion provides insights into choosing the appropriate web crawler based on specific web data mining needs.
KEYWORDS
Publication Date
12/16/2024
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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