Hidden Gems : seeking diamonds in your data (November 7th 2007)

On November 7th 2007, Hazel Webb will give a lunch talk at 100 Sherbrooke West room SU-2720 (LORIT) from 12:30 to 13:30 on seeking diamonds in your data.

The talk will be webcasted at http://mediasrv.lorit.ca/presentation (Windows Media Player and Internet Explorer under Windows required). During the presentation, emails can be sent to [email protected] (MSN messenger also supported).

Everyone is invited to attend remotely or in person!

Hidden Gems : seeking diamonds in your data

Data warehouses, repositories for ever-increasing quantities of data, have become commonplace in most medium to large-sized enterprises. Finding efficient methods to explore the data for suspected and/or previously unknown information continues to be an active area of research.

We introduce the diamond cube operator which, we believe, will aid decision support and analysis. It seeks a single large dense area of data by pruning lesser attributes, i.e. they are related to few others. An algorithm has been designed, implemented and tested on a real-world, terrorism data set. Our preliminary results confirm that this operation can be used to find a dense subset within a data cube.

In this talk an overview of On-line Analytical Processing (OLAP) will be presented, together with the diamond cube operator, some of its mathematical properties and anticipated benefits to the commercial and scientific communities.

Published by

Daniel Lemire

A computer science professor at the Université du Québec (TELUQ).

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