In this paper, we consider the problem of keyword query cleaning for structured databases from a probabilistic approach. Keyword query cleaning consists of rewriting the user quer...
In this paper, we describe the TIMBER XML database system implemented at University of Michigan. TIMBER was one of the first native XML database systems, designed from the ground ...
In this paper, we introduce a rotating interrogation technique for sensor networks called Whirlpool. Whirlpool provides opportunities to optimize data delivery in time-critical mo...
Divyasheel Sharma, Vladimir Zadorozhny, Panos K. C...
Many scientific, financial, data mining and sensor network applications need to work with continuous, rather than discrete data e.g., temperature as a function of location, or sto...
Probabilistic data is coming as a new deluge along with the technical advances on geographical tracking, multimedia processing, sensor network and RFID. While similarity search is...