SIGKDD Calls for Proposals

KDD’17 IDEA Workshop - Call for Vis/HCI/ML/DM/DB Papers

IDEA—Interactive Data Exploration and Analysis—is a full-day workshop organized in conjunction with the ACM SIGKDD Conference on Knowledge, Discovery and Data Mining in Halifax, Canada, on 14 August 2017. Since 2013, the annual IDEA workshop has grown to become one of the largest KDD workshops, with over two hundred researchers in attendance last year. Join us this year in Halifax!

Paper submission deadline: Fri, Jun 2, 2017, 23:59 Hawaii Time

*** Note: this year we also welcome appraisal/lessons learned reports ***

We had four great IDEAs (pun intended), at KDD’13 (Chicago), KDD’14 (NYC), KDD’15 (Sydney), and KDD’16 (San Francisco) with fantastic keynotes by Marti Hearst (UC Berkeley), Haesun Park (Georgia Tech), Ben Shneiderman (UMD), Aditya Parameswaran (UIUC), Geoff Webb (Monash University), Jure Leskovec (Stanford University), Jerome H. Friedman (Stanford), Jeffrey Heer (U Washington, Trifacta), Eamonn Keogh (UC Riverside), and Saleema Amershi (Microsoft Research).

See with links to previous editions.

Workshop Goals

We aim to address the development of data mining techniques that allow users to interactively explore their data, receiving near-instant updates to every requested refinement. Our focus and emphasis is on interactivity and effective integration of techniques from data mining, visualization and human-computer interaction. In other words, we explore how the best of these different, related domains can be combined such that the sum is greater than the parts.

Topics of Interest include, but are not limited to:

- Interactive data mining algorithms

- Visualizations for interactive data mining

- Demonstrations of interactive data mining

- Quick, high-level data analysis methods

- Any-time data mining algorithms

- Visual analytics

- Methods that allow meaningful intermediate results

- Data surrogates

- On-line algorithms

- Adaptive stream mining algorithms

- Theoretical/complexity analysis of instant data mining

- Learning from user input for action replication/prediction

- Active learning / mining

Submission Information

We welcome both novel research papers, demo papers, work-in-progress papers, visionary papers, appraisal papers of existing methods and tools, and relevant work that has been previously published, or will be presented at the main conference. All papers will be peer reviewed. Submissions should be in PDF, written in English, with a maximum of 10 pages. Shorter papers are welcome.

The accepted papers will be posted on the workshop website and will not appear in the KDD proceedings.

Format your paper using the standard double-column ACM Proceedings Style

Submit at EasyChair:

At least one author of an accepted paper must attend the workshop to present the work.

Important Dates

Submission Fri, Jun 2, 2017, 23:59 Hawaii Time

Notification Fri, Jun 23, 2017

Camera-ready Fri, Jul 7, 2017

Workshop Mon, August 14, 2017

Further information and Contact


E-mail: idea.kdd (at)

Best regards,

Jefrey Lijffijt, Polo Chau, Jilles Vreeken, Matthijs van Leeuwen, Dafna Shahaf and Christos Faloutsos

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