KDD-2013 will host tutorials covering topics in data mining of
interest to the research community as well as application developers.
The tutorials will be part of the main conference technical program,
and are free of charge to the attendees of the conference.

We invite proposals for tutorials from active researchers
and experienced tutors. Ideally, a tutorial will cover the
state-of-the-art research, development and applications in a specific
data mining direction, and stimulate and facilitate future work.
Tutorials on interdisciplinary directions, novel and fast growing
directions, and significant applications are highly encouraged. We
encourage tutorials in areas that are somewhat different from
the usual KDD mainstream, but still very much related to KDD mission
and objectives of gaining insight from data.

Each tutorial should be about 3 hours 30 minutes in length.

A tutorial proposal should be formatted in the following sections.

1. Title

2. Abstract (up to 150 words)

3. Target audience and prerequisites. Proposals must clearly
identify the intended audience for the tutorial (e.g., novice
users of statistical techniques, or expert researchers in text
mining). What background will be required of the audience?
Why is this topic important/interesting to the KDD community?
What is the benefit to participants?

4. Outline of the tutorial. Enough material should be included
to provide a sense of both the scope of material to be covered
and the depth to which it will be covered. The more details that
can be provided, the better (up to and including links to the
actual slides). Note that the tutors should NOT focus exclusively on
their own research results. A KDD tutorial is not meant to be a forum for
promoting one’s research or product.

5. A list of forums and their time and locations if the tutorial
or a similar/highly related tutorial has been presented by the
same author(s) before, and highlight the similarity/difference
between those and the one proposed for KDD’13 (up to 100 words
for each entry)

6. Tutors’ short bio and their expertise related to the tutorial
(up to 200 words per tutor)

7. A list of the most important references that will be
covered in the tutorial

8. (Optional) URLs of the slides/notes of the previous tutorials
given by the authors, and any specific audio/video/computer
requirements for the tutorial.

Proposals should be received by Friday, March 1st. Please submit by email to: tutorials@kdd13.org with subject heading: “KDD13 Tutorial Proposal Submission”

KDD’2013 Tutorial Co-Chairs:
W. Scott Spangler (IBM Almaden Research Center)
Zhi-Hua Zhou (Nanjing University)