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What's in a Name? Fast Fuzzy String Matching - Seth Verrinder & Kyle Putnam - Midwest.io 2015

This talk was given at Midwest.io 2015. Searching for similar strings is harder than it sounds. Variations in formatting and misspellings make exact matches impossible and there are many different similarity functions to choose from. This talk is about the development of a fast custom index for fuzzy name matching. This is a technical talk that will interest anyone who wants to see an example of bit level optimization being used in practice. Name matching has applications in record linkage, de-duplication, and fraud detection. While it doesn’t shy away from technical details, you don’t need to know much about bitwise algorithms in advance. About the Speakers Kyle and Seth are both software developers who work together at DST in Kansas City. Kyle’s experience includes healthcare, marketing, and financial services. His interests include machine learning, functional programming, and mathematics. In his spare time, he does whatever he wants. Seth has worked on software for point-of-sale, color management, athletic training, and financial services. His interests include functional programming and finding ways to make software more efficient.