Database Systems Seminar: Carlos Ordonez

Date:

October 15, 2010 11:00 am - 12:00 pm

Location:

KACB 3402

Title: Research on Large-Scale Data Mining in Database Systems
Speaker: Prof. Carlos Ordonez, University of Houston

Abstract: Data mining remains an important research area in database systems. We present a review of processing alternatives, storage mechanisms, algorithms, data structures and optimizations that enable data mining on large data sets. We focus on the computation of well-known multidimensional statistical and machine learning models. We pay particular attention to SQL and MapReduce as two competing technologies for large scale processing. We conclude with a summary of solved major problems and open research issues.

Bio: Carlos Ordonez received his B.S. in applied mathematics and an M.S. degree in computer science, from UNAM University, Mexico, in 1992 and 1996, respectively. He got a Ph.D. degree in Computer Science from the Georgia Institute of Technology, in 2000 with specialization in database systems. Dr Ordonez worked at Teradata in California for six years extending the Teradata DBMS with data mining algorithms. He is currently an Assistant Professor at the University of Houston. His research is centered on the integration of statistical and data mining techniques into database systems and their application to scientific problems.