=Paper=
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|id=Vol-1446/smlir2015_preface
|storemode=property
|title=None
|pdfUrl=https://ceur-ws.org/Vol-1446/smlir2015_preface.pdf
|volume=Vol-1446
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<pdf width="1500px">https://ceur-ws.org/Vol-1446/smlir2015_preface.pdf</pdf>
<pre>
 Workshop on Tools and Technologies in Statistics, Machine Learning and Information
                       Retrieval for Educational Data Mining
                                (SMLIR@EDM2015)


     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.
    The integration of tools and technologies for building IDA processes is a key issue for developing
applications that improve the effectiveness of the e-Learning platforms. The EDM community will
benefit from the discussions related to the advantages and drawbacks of various options in a practical
context with experimental results, by improving the efficiency of building high quality software systems
supporting the research efforts.
    The first step of developing an IDA application should focus on choosing the right tool or technology
that fits the task requirements (e.g., input size, algorithm type, running time efficiency, scalability, etc.).
The diversity of the available options is an indication of the necessity for a detailed analysis. From this
point of view, the EDM community needs to be aware of success and failure attempts of many practical
research efforts in order to provide the possibility of a proper future design choice.
    Existing tools and technologies implement in different ways recent advances on techniques from
statistical/machine learning, information retrieval and data mining domains in terms of programming
language (e.g., Java, C/C++, C#, R, etc.), toolkits (e.g., Weka, Apache Mahout, MLTK, Maple, Matlab,
etc.) and implementation details that may have a great impact on running times, scalability, effectiveness
or efficiency.
    This workshop brings 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 the modality 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 applications.
         I gratefully acknowledge the following members of the workshop program committee:
Ivan Lukovic, University of Novi Sad, Serbia
Lucian Vintan, "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, University of Craiova, Romania
Innar Liiv, Tallinn University of Technology, Estonia
Adrian Graur, University of Suceava, Romania
Vladimir Ivančević, University of Novi Sad, Serbia
Vladimir Cretu, University “Politehnica” of Timisoara, Romania
Mihai Garboveanu, University of Craiova, Romania
Ivan Chorbev, Ss. Cyril and Methodius University Skopje, R. of Macedonia
Ion Iancu, University of Craiova, Romania
Liana Stănescu, University of Craiova, Romania
Marius Brezovan, University of Craiova, Romania
Urszula Markowska-Kaczmar, Wroclaw University of Technology, Poland

                                                                  SMLIR Workshop Chair
                                                                   Marian Cristian Mihăescu

                                                        Steering and Organizing Committee
                                                                             Mihai Mocanu
                                                                             Costel Ionascu
                                                                            Mirel Cosulschi

</pre>