Data intensive applications today usually run in either a clientserver or a middleware environment. In either case, they must efficiently handle both database queries, which proc...
In earlier work we have introduced and explored a variety of different probabilistic models for the problem of answering selectivity queries posed to large sparse binary data set...
Errors in estimating page counts can lead to poor choice of access methods and in turn to poor quality plans. Although there is past work in using execution feedback for accurate c...
Surajit Chaudhuri, Vivek R. Narasayya, Ravishankar...
Ranking a set of retrieved documents according to their relevance to a query is a popular problem in information retrieval. Methods that learn ranking functions are difficult to o...
Most of the search engine optimization techniques attempt to predict users interest by learning from the past information collected from different sources. But, a user's curr...
Sanasam Ranbir Singh, Hema A. Murthy, Timothy A. G...