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Implementing a CRM Analytics solution for a business involves many steps including data extraction, populating the extracted data into a warehouse, and running an appropriate mining algorithm. We propose a CRM Analytics Framework that provides an end-to-end framework for developing and deploying prepackaged predictive modeling business solutions, intended(More)
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)
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)
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)
Association rule mining is an indispensable tool for discovering insights from large databases and data warehouses. The data in a warehouse being multi-dimensional, it is often useful to mine rules over subsets of data defined by selections over the dimensions. Such interactive rule mining over multi-dimensional query windows is difficult since rule mining(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)
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 semi-literate and are interested in the basic usage of the mobile phone. This paper explores one of the basic features, the address book for(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)