Sandeep Neeli

Auburn University

Papers

1

Total Citations

10

H-Index

1

About

Sandeep Neeli is a researcher specializing in web data mining and automated information extraction, with a particular focus on developing efficient scripting methodologies for processing server-side data. His most cited work, "Automated Data Mining from Web Servers Using Perl Script" (2008), introduces the innovative Ethernet Robot method, which leverages Perl scripting and regular expressions to systematically extract and process data from web servers. This contribution has garnered 10 citations, reflecting its practical utility in the early stages of web mining research. Neeli's work addresses the growing need for automated tools to handle the expanding volume of web-based information, offering a streamlined approach that reduces manual intervention in data extraction tasks. His research sits at the intersection of scripting languages, data processing, and web technologies, providing foundational techniques that have informed subsequent developments in automated web scraping and server-side data analysis. For students and researchers exploring web mining or automated data collection, Neeli's work offers a clear, practical example of how scripting can be harnessed to efficiently extract meaningful patterns from raw web server data.

Research Focus

Key Achievements

1
H-Index
1
Papers
10
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
Automated Data Mining from Web Servers Using Perl Script
10 citations · 2008
📈 Most Prolific Year: 2008 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: Auburn University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago