Call for Papers

It is well known that a great proportion of the time devoted to data mining and, especially, data science projects is devoted to data acquisition, integration, transformation, cleansing and other highly tedious tasks. These tasks are tedious basically because they are repetitive and, hence, automatable. As a consequence, progress in the automation of this process can lead to a dramatic reduction of the cost and duration of data-oriented projects. Recently, inductive programming in general (and the learning of declarative rules and programs from a few user interaction examples in particular) has shown a large potential for this automation. The release of FlashFill as a plug-in inductive programming tool for Microsoft Excel and ConvertFrom-String as a Powershell command on Windows 10 are impressive demonstrations that inductive programming research has matured in such a way that commercial applications become feasible.

The aim of this workshop is to gather practitioners and researchers around the use of inductive programming techniques, programming by example and other learning techniques to automate the data wrangling process. It is well known that a great proportion of the time devoted to data mining and, especially, data science projects is devoted to data acquisition, integration, transformation, cleansing and other highly tedious tasks. These tasks are tedious basically because they are repetitive and, hence, automatable. As a consequence, progress in the automation of this process can lead to a dramatic reduction of the cost and duration of data-oriented projects.

We welcome regular papers, demo papers about benchmarks or tools, and position papers, and encourage discussions over a broad list of topics (not exhaustive):

Keydates

Submission

Paper submissions should be limited to a maximum of eight (8) pages, in the IEEE 2-column format, including the bibliography and any possible appendices. Submissions longer than 8 pages will be rejected without a review. All papers must be formatted according to the IEEE Computer Society proceedings manuscript style, following IEEE ICDM 2016 submission guidelines.

All submissions will be triple-blind reviewed by the Program Committee on the basis of technical quality, relevance to data mining, originality, significance, and clarity. Author names and affiliations must not appear in the submissions, and bibliographic references must be adjusted to preserve author anonymity. Authors of accepted papers will be asked to prepare a presentation (short or long) during the workshop. Accepted papers will be published in the IEEE ICDM 2016 Workshops Proceedings volume by IEEE Computer Society Press, and will also be included in the IEEE Xplore Digital Library. After the workshop, contributing authors will be invited to submit a paper to a special issue (journal to be announced).

Manuscripts must be submitted electronically through the IEEE ICDM CyberChair system . We do not accept email submissions.

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Program Committee

Workshop Programme

Collaborators