[Exclusive Event on March 6th] Data Mining in Networks with Dr. Andrew Fast

Looking for lunch plans on Tuesday March 6th? Drop by VigLink at the corner of 4th and Bryant in the SOMA neighborhood of San Francisco and geek out with us on data! We’ll be hosting Dr. Andrew Fast, renowned data scientist, for a talk on data mining in networks — link analysis, social network analysis, and relational data mining.

A short preview of the specifics around what Dr. Fast will be covering (in his own words)…

“The rise of social media including blogs, microblogs, ‘folksonomies’, forums, and photo sharing has led to unprecedented visibility into the social connections between the users of those systems. Data mining and other data modeling algorithms are a natural choice for those seeking to improve the experience of social media users.  These algorithms, however, typically assume that the data are both independent and identically distributed (i.i.d.), assumptions that are both clearly violated in social network data.  In this talk, I will highlight three methods for understanding and exploring network data: 1) visualization, 2) descriptive modeling, and 3) predictive modeling. Using case studies drawn from the national security and financial domains,  I show how to combine these methods to fully leverage available connections in the data improving lift and predictive accuracy over traditional data mining algorithms.”

Lunch will be on us for those that are able to join in-person. However, if you can’t make it we’ll also be making a live-stream of the event available.

To RSVP (to attend in-person OR the live-stream event) click here (we’ll be limiting space for both, so reserve your spot soon if you’d like to join!).

About Dr. Andrew Fast

Dr. Andrew Fast is the Director of Research at Elder Research Inc. where he leads the development of new tools and algorithms for mining data, text, and networks.  Dr. Fast earned his MS and Ph.D. degrees in Computer Science from the University of Massachusetts Amherst,  specializing in algorithms for causal data mining, and for analyzing complex relational data such as social networks.  Andrew has published on an array of applications including detecting securities fraud using the social network among brokers, understanding the structure and behavior of criminal and violent groups, modeling peer-to-peer music file sharing networks, understanding how collective classification works, and predicting playoff success of NFL head coaches (featured on ESPN.com).  With Dr. John Elder and four others, he just completed the book Practical Text Mining, published by Elsevier in January.

Elder Research Inc. (www.datamininglab.com) is the nations leading data mining consultancy. ERI was founded in 1995 and has offices in Charlottesville, VA and Washington, D.C.  ERI focuses on federal, commercial, financial, and security application of advanced analytics including stock selection, image recognition, biometrics, process optimization, cross-selling, drug efficacy, credit scoring, risk management, and fraud detection.



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