Submissions due: Fri, June 2, 2017, 23:59 (Hawaii Time).
New this year! We also welcome "lesson learned" papers, besides previously published work. Check out our call for paper.

The Interactive Data Exploration and Analytics (IDEA) workshop addresses the development of data mining techniques that allow users to interactively explore their data. We focus and emphasize on interactivity and effective integration of techniques from data mining, visualization and human-computer interaction (HCI). In other words, we explore how the best of these different but related domains can be combined such that the sum is greater than the parts. The IDEAs at KDD in Chicago 2013, in New York City 2014, in Sydney 2015, and in San Francisco 2016 were all a great success.

Attending IDEA

IDEA will be a full-day workshop on Monday, Aug 14, at KDD 2017.

What's the IDEA?

We have entered the era of big data. Massive datasets, surpassing terabytes and petabytes, are now commonplace. They arise in numerous settings in science, government, and enterprises. Today, technology exists by which we can collect and store such massive amounts of information. Yet, making sense of these data remains a fundamental challenge. We lack the means to exploratively analyze databases of this scale. Currently, few technologies allow us to freely "wander" around the data, and make discoveries by following our intuition, or serendipity. While standard data mining aims at finding highly interesting results, it is typically computationally demanding and time consuming, thus may not be well-suited for interactive exploration of large datasets.

Interactive data mining techniques that aptly integrate human intuition, by means of visualization and intuitive human-computer interaction (HCI) techniques, and machine computation support have been shown to help people gain significant insights into a wide range of problems. However, as datasets are being generated in larger volumes, higher velocity, and greater variety, creating effective interactive data mining techniques becomes a much harder task.

Our focus and emphasis is on interactivity and effective integration of techniques from data mining, visualization and human-computer interaction. In other words, we intend to explore how the best of these different but related domains can be combined such that the sum is greater than the parts.

Important Dates

Submission Fri, June 2, 2017, 23:59 Hawaii Time
Notification Fri, June 23, 2017
Camera-ready Fri, July 7, 2017
Workshop Mon, August 14, 2017

Call for Papers

Topics of interests for the workshop 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

All papers will be peer reviewed, single-blinded. We welcome many kinds of papers, such as (and not limited to):

  • Novel research papers
  • Demo papers
  • Work-in-progress papers
  • Visionary papers (white papers)
  • Appraisal papers of existing methods and tools (e.g., lessons learned)
  • Relevant work that has been previously published
  • Work that will be presented at the main conference of KDD

Authors should clearly indicate in their abstracts the kinds of submissions that the papers belong to, to help reviewers better understand their contributions. Submissions must be in PDF, written in English, no more than 10 pages long — shorter papers are welcome — and formatted according to the standard double-column ACM Sigconf Proceedings Style.

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

For accepted papers, at least one author must attend the workshop to present the work.

For paper submission, proceed to the IDEA 2017 submission website.

IDEA 2017 Keynotes

Prof. Samuel Kaski
Aalto University, HIIT
Dr. Nathalie Henry Riche
Microsoft Research
... more to be announced ...

IDEA 2016 Keynotes

Prof. Jerome H. Friedman
Stanford University
Prof. Jeffrey Heer
University of Washington, Trifacta
Prof. Eamonn Keogh
UC Riverside
Dr. Saleema Amershi
Microsoft Research

IDEA 2015 Keynotes

Prof. Geoff Webb
Monash University
Prof. Jure Leskovec
Stanford University

IDEA 2014 Keynotes

Prof. Ben Shneiderman
University of Maryland, College Park
Prof. Aditya Parameswaran
University of Illinois (UIUC)

IDEA 2013 Keynotes

Prof. Haesun Park
Georgia Tech
Prof. Marti Hearst
UC Berkeley

Organizers

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Program Committee (TBC)

Acar Tamersoy (Symantec, USA)
Adam Perer (IBM, USA)
Aristides Gionis (Aalto U, Finland)
Bahador Saket (Georgia Tech, USA)
Bo Kang (Ghent U, Belgium)
Danai Koutra (UMich, USA)
Esther Galbrun (INRIA Nancy, France)
Geoff Webb (Monash U, Australia)
George Forman (USA)
Hannah Kim (Georgia Tech, USA)
Jaegul Choo (Korea U, South Korea)
James Abello (Rutgers U, USA)
Jia-Yu (Tim) Pan (Google, USA)
Kai Puolamäki (FIOH, Finland)
Kevin Roundy (Symantec, USA)
Marti Hearst (UC Berkeley, USA)
Mario Boley (MPI-INF, Germany)
Minsuk (Brian) Kahng (Georgia Tech, USA)
Nan Cao (NYU Shanghai, China)
Parikshit Ram (Skytree, USA)
Pauli Mietinnen (MPI-INF, Germany)
Robert Pienta (Georgia Tech, USA)
Saleema Amershi (Microsoft Research, USA)
Stefan Kramer (U Mainz, Germany)
Steffen Koch (U Stuttgart, Germany)
Stephan Günnemann (TU Munich, Germany)
Sucheta Soundarajam (Syracuse U, USA)
Thomas Gärtner (U Nottingham, UK)
Thomas Seidl (LMU Munich, Germany)
Tijl De Bie (Ghent U, Belgium)
Wouter Duivesteijn (Eindhoven Tech, Netherlands)

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