Evolving the Science of Data Mining: Challenges, Applications, and Future

About the Event

Data Mining has received much attention as companies and organizations started to ask how they can better utilize the huge data stores they built up over the past few decades. While some interesting progress has been achieved over the past few years, especially when it comes to techniques and scalable algorithms, very few organizations have managed to benefit from the technology. This paradoxical situation of having too much data yet not be able to utilize it or mine it arose because of both technical and business challenges. We will cover these challenges, paint a picture for where the data problems are, and then introduce data mining and its role. The coverage of data mining will be at multiple levels: a few algorithms for scaling to large databases, aspects and challenges for fitting data mining with database systems, and finally business challenges of how to make the technology really work. In this coverage, we will span the spectrum from technical to business issues. We shall also cover applications in the business setting to illustrate the challenges and contributions of data mining in the business world in addition to the fundamental research problems that need to be addressed. We conclude by revisiting the technical challenges facing the field.


Usama Fayyad is President & CEO of DMX Group, a data mining services firm that delivers advanced predictive and strategic data applications to some of the world’s largest organizations. He is also Chairman of digiMine, Inc. (now Revenue Science Inc.) which he co-founded in early 2000 and served as its President and CEO until 2003.

Additional Information

Sponsor(s): CSE Division

Open to: Public


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