[on behalf of Cristian Mihaescu]
[Deadline extended – Strict]
Below is a Call for Papers for the
*Workshop on Tools and Technologies in Statistics, Machine Learning and
Information Retrieval for Educational Data Mining*
*SMLIR*
https://sites.google.com/site/smlir2015edm/home
Department of Computers and Information Technologies, University of Craiova
to be held in conjunction with the upcoming *Educational Data Mining -
EDM*conference
in
http://educationaldatamining.org/EDM2015/
*Madrid, Spain 26-29 June, 2015*.
* Important Dates (Deadline extended – Strict)*
• Paper submission deadline: April 5th 24 April 2015
• Notification of decision: April 19th 30 April 2015
• Camera-ready copy due: April 26th 3 May 2015
• Workshop date: TBA [June 26nd to June 29th]
* Due to technical difficulties in easychair, please submit
papers in a PDF file to Cristian Mihaescu < **mihaescu@xxxxxxxxxxxxxxx*
<mihaescu@xxxxxxxxxxxxxxx>* >*
Given your interest in this subject, we would like to encourage you to
submit a paper to the SMLIR workshop.
SMLIR workshop aims bringing together researchers from academia and
industry practitioners with special interest in statistics/machine
learning, information retrieval, data mining to (1) discuss current state
of the art tools and technologies, (2) identify patterns for proper usage
of various options for different tasks, and (3) lay out a vision regarding
practical ways in which tools and technologies will influence future
applications. The organizers hope to obtain common background knowledge for
integrating various tools and technologies in future EDM research
infrastructures.
Cheers,
Cristian Mihaescu
---
Within Intelligent Data Analysis (IDA) research area there may be found
several subareas such as Machine Learning/Statistics, Information
Retrieval, Data Mining and lately Big Data and Cloud Computing. The exact
boundaries between these research areas are not very clear and may mislead
research efforts, each one having its own particularities in terms of input
type and size, data processing methodologies and obtained output. As Data
Mining makes intensive use of all these research subareas, it is mandatory
to be aware of their subtle differences and, therefore, design and
implement IDA systems that make research efforts sound and effective. The
goal of this workshop is to gather research efforts that fall into any of
the categories of subareas and have results into the application area of
Education. The workshop is looking for contributions that provide
experimental results in the area of EDM/Information Retrieval and are
focused on data processing fundamentals from Machine Learning/Statistics
perspective. From the practical point of view, the focus should be on
presenting the details regarding what and how tools and technologies are
used in order to obtain relevant data analysis engines.
*Research Issues*
Here are several research issues that may be addressed:
• what technical issues impact on experimental results and validation of
research activity?
• what/how standards influence the interoperability in data analysis
processes?
• what makes a visual data analytics tool/technology appropriate for a
certain research issue?
• given a research issue, what tool/technology properly implements the
needed data analysis algorithm (stream mining, classification, clustering,
etc.)?
• in experimental data analysis, what are the theoretical/practical
constraints offered by existing tools/technologies?
These questions and issues are not exclusive: the workshop solicits papers
that touch on any theme related to educational application area.
Theoretical, philosophical or experimental papers are welcome. Papers will
be reviewed by members of the program committee or other appropriate
reviewers.
*Publication*. Accepted papers will be hosted at http://ceur-ws.org/. All
submissions should be novel and not previously published work.
*Proceedings*. A one-page overall summary of the workshop will be included
in the main conference Proceedings.
*Post Conference Publication*. Authors of selected papers will be invited
to submit an extended version of their works for review and potential
publication in the Advances in Electrical and Computer Engineering (AECE)
Journal (http://www.aece.ro/ ).
*Steering Committee*
Mihai Mocanu
Department of Computers and Information Technology, University of Craiova
Costel Ionascu
Department of Statistics and Economic Informatics, University of Craiova
Mirel Cosulschi
Department of Informatics, University of Craiova
*ProgramCommittee *
Ivan Lukovic
University of Novi Sad, Serbia
Vintan Lucian
"Lucian Blaga" University of Sibiu, Romania
Stefan Trăuşan-Matu
University “Politehnica” of Bucharest, Romania
Andrea Zielinski
Fraunhofer IOSB, Karlsruhe, Germany
Mihai Lupu
Vienna University of Technology, Austria
Vladimir Fomichov
National Research University Higher School of Economics (HSE),
Moscow, Russian Federation
Costin Bădică
Universitatea din Craiova, Romania
Innar Liiv
Tallinn University of Technology, Estonia
Adrian Graur
University of Suceava, Romania
Vladimir Ivančević
University of Novi Sad, Serbia
Vladimir Crețu
University "Politehnica" of Timisoara
Short or long papers, ranging from 4 to 8 pages, using the EDM conference
format are welcome:
Word http://educationaldatamining.org/EDM2015/uploads/templates/edm_word.doc
LaTeX
http://educationaldatamining.org/EDM2015/uploads/templates/edm_latex.zip
