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Mobile-enabled social networks applications are becoming increasingly popular. Most of the current social network applications have been designed for high-end mobile devices, and they rely upon features such as GPS, capabilities of the world wide web, and rich media support. However, a significant fraction of mobile user base, especially in the developing(More)
Quantifying the similarity between two trajectories is a fundamental operation in analysis of spatio-temporal databases. While a number of distance functions exist, the recent shift in the dynamics of the trajectory generation procedure violates one of their core assumptions; a consistent and uniform sampling rate. In this paper, we formulate a robust(More)
Developing countries like India are observing an increasing trend in the penetration of mobile phones towards the base of the pyramid (lower strata of the society). This segment comprises of users who are novice and semiliterate and are interested in the basic usage of the mobile phone. This paper explores one of the basic features, the address book for its(More)
Online forums are becoming a popular way of finding useful information on the web. Search over forums for existing discussion threads so far is limited to keyword-based search due to the minimal effort required on part of the users. However, it is often not possible to capture all the relevant context in a complex query using a small number of keywords.(More)
We might have heard quite a few people say on seeing some new mails in their inboxes, "Oh! that spam again". People who observe the kind of spam messages that they receive would perhaps be able to classify similar spam mails into communities. Such properties of spam messages can be used to filter spam. This paper describes an approach towards spam filtering(More)
Master data management (MDM) integrates data from multiple structured data sources and builds a consolidated 360degree view of business entities such as customers and products. Today’s MDM systems are not prepared to integrate information from unstructured data sources, such as news reports, emails, call-center transcripts, and chat logs. However, those(More)
The top-<i>k</i> retrieval problem requires finding <i>k</i> objects most similar to a given query object. Similarities between objects are most often computed as aggregated similarities of their attribute values. We consider the case where the similarities between attribute values are arbitrary (non-metric), due to which standard space partitioning indexes(More)
A Reverse Skyline query returns all objects whose skyline contains the query object. In this paper, we consider Reverse Skyline query processing where the distance between attribute values are not necessarily metric. We outline real world cases that motivate Reverse Skyline processing in such scenarios. We consider various optimizations to develop efficient(More)