SDM17: Call for Tutorials

Accepted Tutorials

An Introduction to Redescription Mining
Presenters: Pauli Miettinen, MPI-INF, Germany; Esther Galbrun, INRIA, France

IoT Big Data Stream Mining
Presenters: Gianmarco De Francisci Morales, QCRI, Qatar; Albert Bifet, Telecom-ParisTech, France;  Latifur Khan, University of  Texas at Dallas, USA; Joao Gama, University of Porto, Portugal;  Wei Fan, Baidu Research, California, USA

Leveraging Propagations for Data Mining
Presenters: B. Aditya Prakash, Virginia Tech, USA; Naren Ramakrishnan, Virginia Tech, USA

Opportunities, Challenges and Methods for Higher Education Data Mining
Presenters: Huzefa Rangwala, George Mason University, USA; Aditya Johri, George Mason University, USA;  Asmaa El Badrawy, University of Minnesota, USA;  George Karypis, University of Minnesota, USA

Summarizing Large-Scale Graph Data
Presenter: Danai Koutra, University of Michigan, USA


The SIAM Data Mining (SDM17) Organizing Committee invites proposals for tutorials to be held in conjunction with the conference. Tutorials are an effective way to educate and/or provide the necessary background to the intended audience enabling them to understand technical advances.

For SDM17, we are seeking proposals for tutorials on all topics related to data mining. A tutorial may be a theme-oriented comprehensive survey, discuss novel data mining techniques or may center around successful and timely application of data mining in important application areas (e.g., medicine, national security, scientific data analysis). Tutorials on interdisciplinary research topics, novel and fast growing directions, and innovative applications are highly encouraged. For examples of typical SIAM tutorials, see the set of accepted tutorials at previous SIAM conferences SDM13, SDM14, SDM15, and SDM16.

Tutorials are open to all conference attendees without any extra fees. The typical tutorial will be 2 hours long (longer tutorials will be considered). Previous SDM conferences attracted up to 100 attendees in a tutorial.

Proposals should be submitted electronically with subject heading: “SDM 2017 Tutorial Proposal Submission” by October 8, 2016, 11:59 PM (US Pacific Time) to:

Prof. Jilles Vreeken
Saarland University and Max Planck Institute for Informatics

Proposals should be submitted in PDF format (for other formats please contact the tutorial chair first).
Proposals should include the following:



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