University of Minnesota
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SEng Seminar Series: Guest, George Karypis

Date of Event: 
Saturday, November 4, 2017 - 12:15pm
Keller Hall 3-230
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All Software Engineering Industrial Seminars are open to the public.

Title: Data Mining - From finding patterns to Big Data to AI

Speaker: George Karypis

Presented by the University of Minnesota Software Engineering Center

Abstract: It has been almost 25 years since exploratory and predictive data analysis approaches were introduced to analyze the large datasets that corporations, government, and scientists have been collected. These approaches, which came to be called “Data Mining” has revolutionize many aspects of our every-day lives and has given rise to the Big Data revolution and the subsequent emergence and spectacular success of large-scale of machine learning solutions. In this lecture we will provide an overview of the different types of problems being solved by data mining approaches and an overview of the underlying computational methods.

Bio: George Karypis is a Distinguished McKnight University Professor and an ADC Chair of Digital Technology at the Department of Computer Science & Engineering at the University of Minnesota, Twin Cities. His research interests span the areas of data mining, high performance computing, information retrieval, collaborative filtering, bioinformatics, cheminformatics, and scientific computing. His research has resulted in the development of software libraries for serial and parallel graph partitioning (METIS and ParMETIS), hypergraph partitioning (hMETIS), for parallel Cholesky factorization (PSPASES), for collaborative filtering-based recommendation algorithms (SUGGEST), clustering high dimensional datasets (CLUTO), finding frequent patterns in diverse datasets (PAFI), and for protein secondary structure prediction (YASSPP). He has coauthored over 280 papers on these topics and two books (“Introduction to Protein Structure Prediction: Methods and Algorithms” (Wiley, 2010) and “Introduction to Parallel Computing” (Publ. Addison Wesley, 2003, 2nd edition)). In addition, he is serving on the program committees of many conferences and workshops on these topics, and on the editorial boards of the IEEE Transactions on Knowledge and Data Engineering, ACM Transactions on Knowledge Discovery from Data, Data Mining and Knowledge Discovery, Social Network Analysis and Data Mining Journal, International Journal of Data Mining and Bioinformatics, the journal on Current Proteomics, Advances in Bioinformatics, and Biomedicine and Biotechnology.