1 / 13

Ricardo Vilalta Dept. of Computer Science University of Houston September, 2013

Ricardo Vilalta Dept. of Computer Science University of Houston September, 2013. Objectives To extend traditional data analysis techniques with specialized analysis tools. To develop new data mining techniques with additional levels of efficiency.

gaurav
Télécharger la présentation

Ricardo Vilalta Dept. of Computer Science University of Houston September, 2013

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Ricardo Vilalta Dept. of Computer ScienceUniversity of HoustonSeptember, 2013

  2. Objectives To extend traditional data analysis techniques with specialized analysis tools. To develop new data mining techniques with additional levels of efficiency.

  3. I have the privilege of working with the following students: • Bachelor’s in Computer Science • Dutton, Benjamin • Master's in Computer Science • Ahmed, Owais • Boumber, Dainis • Sui, Bangsheng • Doctorate in Computer Science • Dhar Gupta, Kinjal • Toti, Giulia • Valerio, Roberto

  4. Field of Study

  5. Multidisciplinary Field Artificial Intelligence Neurobiology Probability & Statistics Machine Learning Computational Complexity Theory Philosophy Information Theory

  6. Meta-learning Model Selection Physics and Astronomy Classification Feature Selection Regression Clustering

  7. The Connection to Data Mining

  8. Identifying Sources of Ionizing Radiation

  9. Identifying Sources of Ionizing Radiation

  10. Classifying Cepheid Stars

  11. Prediction of stuck pipes during drilling using machine learning techniques

  12. Time-Based Data Prediction The goal is to predict confidently within a time window the occurrence of a stuck pipe. Warning Window: 15 minutes Safe time window for prediction Stuck Pipe Event

  13. THANK YOU

More Related