1 / 7

Outline

Outline. Motivation Part 1: Understanding Epidemics (Theory) Part 2: Policy and Action (Algorithms) Part 3: Applications (Data-driven) Conclusion. Theme. ANALYSIS Understanding. POLICY/ ACTION Managing. DATA Large real-world networks & processes. Biology. Physics.

libitha
Download Presentation

Outline

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. Outline • Motivation • Part 1: Understanding Epidemics (Theory) • Part 2: Policy and Action (Algorithms) • Part 3: Applications (Data-driven) • Conclusion Prakash and Ramakrishnan 2016

  2. Theme ANALYSIS Understanding POLICY/ ACTION Managing DATA Large real-world networks & processes Prakash and Ramakrishnan 2016

  3. Biology • Physics • Theory & Algo. • Propagation on Networks • Comp. Systems • Social Science • ML & Stats. • Econ. Prakash and Ramakrishnan 2016

  4. Reminder: Tutorial webpage • http://people.cs.vt.edu/~badityap/TALKS/16-kdd-tutorial/ • All Slides are posted there. • Talk video as well (later). • Includes all the references as well. Prakash and Ramakrishnan 2016

  5. Acknowledgements All our students and collaborators Prakash and Ramakrishnan 2016

  6. Acknowledgements Funding Prakash and Ramakrishnan 2016

  7. Propagation for Data Mining B. Aditya Prakash NarenRamakrishnan • Data • Analysis • Policy/Action Prakash and Ramakrishnan 2016

More Related