Presentations (talks, conference presentations)

    Big Data Analytics

  1. Can Parallel Database Systems Help Big Data Analytics?
    Parallel DBMSs (row, column, array) vs Hadoop (MapReduce, Spark)
    keynote at DEXA 2017 conference [PPT]
  2. Algorithms and Optimizations for Big Data Analytics: Cubes.
  3. Database Systems Research on Large-Scale Data Mining: SQL vs MapReduce.
    (outdated) tutorial at SIGMOD 2010 Conference, [PPT]
  4. Computing the Gamma Matrix for Data Summarization in a Parallel System (parallel DBMS vs Spark).
  5. Comparing Columnar, Row and Array DBMSs for Recursive Query Evaluation to Analyze Large Graphs.
  6. Integrating the R Language Runtime System with a Data Stream Warehouse.
    Research while visiting ATT [PPT]
  7. Stream Analytics.
    overview, does not talk about ATT work [PPT]
  8. Parallel Systems to Compute Deep Neural Networks.
  9. Machine Learning and Statistical Models

  10. Integrating Statistical Models and Database Systems.
    old [PPT]
  11. Medical Data Mining.
    mainly cubes and association rules [PPT]
  12. Summary, Overview

  13. Micro presentation.
    5 minutes, [PPT]
  14. Short presentation
    10 minutes, [PPT]
  15. Research Projects (mostly current).
    1 hour, [PPT]
  16. UH Department of Computer Science.
    30 minutes, [PPT]