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IDEAS-Pattern Mining 2019 : IDEAS 2019 Track - On the Classic Case Pattern Mining


When Jun 10, 2019 - Jun 12, 2019
Where Athens, Greece
Submission Deadline Apr 12, 2019
Notification Due May 2, 2019
Final Version Due May 25, 2019
Categories    pattern frequentness   pattern generation   overfitting   underfittin

Call For Papers

23rd International Database Engineering & Applications Symposium
IDEAS 2019 will be hosted by Harokopio University,
June 10-12, 2019 Athens, Greece

Call for Track Papers:On the Classic Case Pattern Mining

This track forms part of the annual IDEAS conference: a top
international forum for data engineering researchers, practitioners,
developers, and application users to explore revolutionary ideas and
results, and to exchange techniques, tools, and experiences.


In the big data science, classic case pattern mining is fundamental to
many other mining applications, e.g., association rule mining,
causation mining. etc. The classic case mining is originally the
itemset mining. It is so called classic is because of the classic
dataset it used with the following three characteristics: each element
in each tuple of the dataset is unique and atomic, the dataset is
de-semantic, and the dataset is static. The classic case mining is the
simplest mining, thus the sound solution for it is of fundamental
importance, otherwise we do not have the base to deal with more
complex mining problems. However, the fact is, although thousands of
research articles have been published in more than a quarter of a
century till now, no reliable mining solution has been established,
and the problems of overfitting, probability anomaly, improper pattern
generation mode and so on are widely exhibiting in previous mining
approaches. It is thus imperative to build up a rational, reliable and
sound theory for the mining first.


Topics of interest include, but are not limited to the following.

• the proper pattern frequentness measure;
• the proper pattern generation mode and its implementation;
• the pattern frequency distribution theory;
• the definition and measures of overfitting and underfitting;
• the reliability theory and measures for the mining methods and mining results.

Submission for the track

All paper submission for IDEAS’2019 and its tracks would be via the
corresponding pages on ConfSys. Authors should sign up as user of the
system at:
When submitting a paper, for a track pl. select the appropriate track
unless you are submitting to the main event (indicated by "General

The papers submitted for a track would be reviewed by the program
committee aided by the members of this track committee. The
accepted papers would be presented during IDEAS 2019 and would be
included in the proceedings of IDEAS 2019.

Please consult the guides given in the right hand margin for FAQ,
submission guidelines etc. on the home page of IDEAS 2019:

Important Dates

April 12, 2019: Papers submission deadline: ++plus grace period
May 2, 2019: Notification of acceptance
May 25, 2019: Camera-ready deadline (Final Version of accepted submissions)

Conference Publication

The conference proceedings will be published by ACM in their digital
library and indexed by them; the ISBN assigned by ACM to IDEAS'2019
is: 978-1-4503-6249-8

ACM allows choice in the copyrights/licence and open access according
to their policy.

A version of the proceedings to be distributed to the conference
attendees would be prepared by BytePress.

Organized by

Harokopio University of Athens, with the cooperation of ACM, and

Track Chairs:
Tongyuan Wang TechEngine Plus Com

General Chairs: .
Bipin C. Desai, Concordia University, Montreal
Dimosthenis Anagnostopoulos, Harokopio University of Athens;

Program Chairs:
Yannis Manolopoulos, Open University of Cyprus
Mara Nikolaidou, Harokopio University of Athens,

Local Chair:
George Dimitrakopoulos, Harokopio University of Athens
Dimitris Michail, Harokopio University of Athens,

IDEAS Steering Committee

Desai, Bipin C. (Chair) Concordia University
McClatchey, Richard University of the West of England, Bristol
Ng, Wilfred Hong Kong University of Science and Technology
Pokorny, Jaroslav Charles University
Toyama , Motomichi Keio University
Ullman, Jeffrey Stanford University

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