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, in San Francisco 2016, and in Halifax 2017 were all a great success.

Program & Attending IDEA

IDEA will be a full-day workshop on Monday, Aug 20, at KDD 2018. You may register and book hotel rooms through KDD.

What's the IDEA?

It has been premised by many that interactive data mining techniques that aptly integrate human intuition, visual pattern recognition, and background knowledge with the number crunching capabilities of modern computers—by means of visualization and feedback loops—could help researchers, businesses, journalists, and other data users gain insights unattainable otherwise. Yet, the development of methods and techniques that can function as building blocks for such interactive systems is still in its infancy.

The goal of the IDEA workshop is to encourage the development of methods and techniques to (1) more effectively and efficiently communicate results from analysis algorithms, e.g., visualization of patterns and models, (2) enable rich, efficient, and accurate user feedback to select and manipulate models or provide information about their relevance or interestingness, (3) provide data analysis at interactive speed. We aim to raise awareness of the need for data analysis algorithms that enable interactive use (take feedback into account), so the algorithms and the user work together to make discoveries in complex data. This hybrid approach—combining powerful techniques from data mining, visualization, and HCI—forms an new class of techniques that enable truly inter-active data analysis. The focus and emphasis is on interactivity and communication—information transfer to and from users, i.e., techniques at the interface of data mining, visualization, and HCI. 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 Tue, May 8, 2018, 23:59 Hawaii Time
Extended deadline Sun, May 13, 2018, 23:59 Hawaii Time
Notification Fri, June 8, 2018
Camera-ready Fri, June 22, 2018
Workshop Mon, August 20, 2018

Call for Papers

Topics of interests for the workshop include, but are not limited to:

  • Data mining (DM)
    • Online, streaming, or any-time algorithms
    • Methods supporting interactive, iterative, or adaptive refinements
    • Methods enabling instantaneous results
    • User-specific results (preference, relevance, interestingness)
    • Pattern & model sampling
    • Theoretical/complexity analysis of instant data mining
  • Human-computer interaction (HCI)
    • Smart and adaptive interfaces for scalable techniques
    • Methods, principles and mechanisms for incorporating user feedback
    • User intent models
    • Interfaces for explaining and interpreting analytics models and results
    • Interfaces for interactively exploring and querying very large data
  • Visualization (VIS)
    • Interactive visualization of patterns and models
    • Visual analytics
    • Visualization for machine learning models
    • Exploration or recommendation of visualization
    • Visual user guidance
    • Principles and techniques for information transfer

We invite any type of contribution on these topics: new principles, methods, systems, empirical evaluations, etc.

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 (including extended abstracts) are also 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 2018 submission website.

IDEA 2018 Keynotes

To be announced

IDEA 2017 Keynotes

Dr. Rich Caruana
Microsoft Research
Prof. Leman Akoglu
Carnegie Mellon University
Prof. Samuel Kaski
Aalto University, HIIT

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


Sponsors, Supporters & Friends

Program Committee

Acar Tamersoy (Symantec, USA)
Adam Perer (IBM Research, USA)
Ahmad Mel (Ghent U, Belgium)
Andreas Henelius (Aalto U, Finland)
Arjun Srinivasan (Georgia Tech, USA)
Arnab Nandi (Ohio State, USA)
Bart Goethals (U of Antwerp, Belgium)
Bo Kang (Ghent U, Belgium)
Danai Koutra (U of Michigan, USA)
Daniel Keim (U of Konstanz, Germany)
Di Jin (U of Michigan, USA)
Emilia Oikarinen (FIOH, Finland)
Esther Galbrun (INRIA Nancy, France)
Fred Hohman (Georgia Tech, USA)
Geoff Webb (Monash U, Australia)
George Forman (Amazon, USA)
Hanghang Tong (Arizona State, USA)
Hannah Kim (Georgia Tech, USA)
Jaegul Choo (Korea U, South Korea)
James Abello (Rutgers U, USA)
Jia-Yu (Tim) Pan (Google, USA)
Jilles Vreeken (MPI-INF, Germany)
Josua Krause (NYU, USA)
Kai Puolamäki (Aalto U, Finland)
Kevin Roundy (Symantec, USA)
Kijung Shin (Carnegie Mellon U, USA)
Marco Cavallo (IBM Research, USA)
Mario Boley (MPI-INF, Germany)
Nan Cao (NYU Shanghai, China)
Robert Pienta (Symantec, USA)
Robin Vandaele (Ghent U, Belgium)
Saleema Amershi (Microsoft Research, USA)
Siegfried Nijssen (Catholic U of Louvain, Belgium)
Stefan Kramer (U of Mainz, Germany)
Steffen Koch (U of Stuttgart, Germany)
Stephan Günnemann (TU Munich, Germany)
Sucheta Soundarajam (Syracuse U, USA)
Thibault Sellam (Columbia U, USA)
Thomas Gärtner(U of Nottingham, UK)
Thomas Seidl (LMU Munich, Germany)
Tijl De Bie (Ghent U, Belgium)
Xu Chu (Georgia Tech, USA)
Zhiyuan (Jerry) Lin (Stanford U, USA)