Chief Technology Officer, OptiMine Software

From the start, the Web has lowered the barrier to collect what is now known as "big data". However, more often than not the data is collected by accident as a result of whatever default settings happen to be in place for a given application. No one has sat down and thought about what they actually might need or bothered to determine what options are available. When it comes time to run any sort of analysis, accidental data tends to be both big and useless. This talk will highlight lessons learned over the past 15+ years from analyzing Web data, including frequent encounters with "Accidental Data Collection."

Dr. Robert Cooley received his Ph.D. in Web Data Mining in 2000 from the University of Minnesota and has spent the last 12 years working for software startups in a variety of roles. As the CTO of OptiMine Software, an online advertising optimization company, he is responsible for the company’s product development and technology strategy. Prior to co-founding OptiMine, Rob headed the North American technical team for KXEN, a data mining tool provider, where he led projects with over 300 companies including Wal-Mart, Sears, Lowes, eBay, Experian, Nielsen, Live Person, and Acerno. After grad school he worked at a Xerox PARC spin-off doing personalized search that was sold to Google. In addition to his Ph.D., Rob holds a masters degree in nuclear engineering from the Bettis Reactor Engineering School, was a Lieutenant in the U.S. Navy, and received a BS in civil engineering from Cornell University.

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