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Full-Text Articles in Physical Sciences and Mathematics
Reducing Cognitive Overheads In A Web Warehouse Using Reverse-Osmosis, Sanjay Kumar Madria, Wee Keong Ng, Ee-Peng Lim, Sourav S. Bhowmick
Reducing Cognitive Overheads In A Web Warehouse Using Reverse-Osmosis, Sanjay Kumar Madria, Wee Keong Ng, Ee-Peng Lim, Sourav S. Bhowmick
Computer Science Faculty Research & Creative Works
This paper provides a quantitative analysis of reducing cognitive overheads in a Web warehouse using an important class of operation called reverse osmosis. The analysis is used to examine two different cognitive overheads of locating relevant nodes or information and display time of a Web table. A reverse-osmosis operation enables us to eliminate in relevant information from a collection of Web documents stored in the form of a Web table. We call such an operation reverse-osmosis because it is analogous to the reverse osmosis process in the field of water purification. We discuss a formal algorithm of the reverse-osmosis operation
Association Rules For Web Data Mining In Whoweda, Sanjay Kumar Madria, C. Raymond, M. Mohania, Sourav S. Bhowmick
Association Rules For Web Data Mining In Whoweda, Sanjay Kumar Madria, C. Raymond, M. Mohania, Sourav S. Bhowmick
Computer Science Faculty Research & Creative Works
The authors discuss association rules which can be discovered from Web data. The association rules are discussed within the scope of our WHOWEDA (warehouse of Web data) project. WHOWEDA is supported by a Web data model and a set of algebraic operators. The Web data model allows a uniform and integrated view of Web data gathered using a user''s query graph. A user''s query graph describes the query by example (what the user perceives as the query) and the Web coupling query gathers instances of such a query graph from the Web and stores them in the form of subgraphs …
Detecting And Representing Relevant Web Deltas Using Web Join, Sanjay Kumar Madria, Wee Keong, Ee-Peng Lim, Sourav S. Bhowmick
Detecting And Representing Relevant Web Deltas Using Web Join, Sanjay Kumar Madria, Wee Keong, Ee-Peng Lim, Sourav S. Bhowmick
Computer Science Faculty Research & Creative Works
We show how to detect and represent Web deltas, i.e., changes in Web information, that are relevant to a user's query in the context of our Web warehousing system called WHOWEDA (Warehouse of Web Data). In WHOWEDA, Web information are materialized views stored in Web tables and can be manipulated and analyzed using a set of Web algebraic operators. We present a mechanism to detect relevant Web deltas using Web join and outer Web join. We show how to represent these changes using delta Web tables.