2008
DOI: 10.14778/1454159.1454205
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Large-scale collaborative analysis and extraction of web data

Abstract: Archived web data is a great resource for scientific research, but poses serious challenges in data processing and management. We demonstrate the Web Lab Collaboration Server, a platform and service for large-scale collaborative web data analysis in a distributed computing environment, and show how it seamlessly supports non-technical users during search, data extraction and analysis.

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Cited by 4 publications
(1 citation statement)
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“…Their problem statement is to "address the issues present in exiting data mining approaches to bring out more accurate data mining approach". On the lines of extracting and processing data at the large scale in a collaborative manner Felix, Biswanath and Mirek introduced Web Lab Collaboration Server [12]. The underlying problem statement is to "recognize the fact that despite latest advances in data extraction and processing technologies, the users from non-technical background find it difficult to deal with the tools to fetch the relevant data for various applications and build an abstract model that presents easy to use interface for inputs to extract and process data to the non-technical users".…”
Section: Related Workmentioning
confidence: 99%
“…Their problem statement is to "address the issues present in exiting data mining approaches to bring out more accurate data mining approach". On the lines of extracting and processing data at the large scale in a collaborative manner Felix, Biswanath and Mirek introduced Web Lab Collaboration Server [12]. The underlying problem statement is to "recognize the fact that despite latest advances in data extraction and processing technologies, the users from non-technical background find it difficult to deal with the tools to fetch the relevant data for various applications and build an abstract model that presents easy to use interface for inputs to extract and process data to the non-technical users".…”
Section: Related Workmentioning
confidence: 99%