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.
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 interac- tive 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.
|Submission||Tue, May 8, 2018, 23:59 Hawaii Time|
|Notification||Fri, June 8, 2018|
|Camera-ready||Fri, June 15, 2018|
|Workshop||Mon, August 20, 2018|
Topics of interests for the workshop include, but are not limited to:
We invite any type of contribution on these topics: new principles, methods, systems, empirical evaluations, etc.
All papers will be peer reviewed, single-blinded. We welcome many kinds of papers, such as (and not limited to):
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.