Optimising the parameters of ranking functions with respect to standard IR rank-dependent cost functions has eluded satisfactory analytical treatment. We build on recent advances ...
Michael J. Taylor, Hugo Zaragoza, Nick Craswell, S...
Recent research in data mining has progressed from mining frequent itemsets to more general and structured patterns like trees and graphs. In this paper, we address the problem of...
With ever growing competition in telecommunications markets, operators have to increasingly rely on business intelligence to offer the right incentives to their customers. Toward ...
Amit Anil Nanavati, Siva Gurumurthy, Gautam Das, D...
It is important yet hard to identify navigational queries in Web search due to a lack of sufficient information in Web queries, which are typically very short. In this paper we st...
With the flourish of the Web, online review is becoming a more and more useful and important information resource for people. As a result, automatic review mining and summarizing ...
In this paper we introduce the distributed spatio-temporal similarity search problem: given a query trajectory Q, we want to find the trajectories that follow a motion similar to ...
Demetrios Zeinalipour-Yazti, Song Lin, Dimitrios G...
Distributed privacy preserving data mining tools are critical for mining multiple databases with a minimum information disclosure. We present a framework including a general model...
Several information organization, access, and filtering systems can benefit from different kind of document representations than those used in traditional Information Retrieval (I...