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Project title:

Advances in Data Mining II: Interdisciplinary Studies

Time of implementation:

 01.06.2018 – 30.11.2018

Involved countries and institutions:

1. Germany: Hochschule Wismar

2. Germany: Steinbeis Hochschule Berlin

3. Lithuania: Klaipeda University

4. Lithuania: Kaunas University of Technology

5. Lithuania: Vytautas Magnus University

6. Latvia: Centre for Education and Innovation Research

7. Estonia: Tartu University, Center of Educational Innovation

8. Estonia: Tallinn University of Technology

9. Latvia: Rezekne Academy of Technologies

10. Latvia: Riga State Technical School

11. Latvia: Riga Technical University

Aim(s) of the project:

The proposed project is the combination of research project and event organization.

 

The project is dedicated to the interdisciplinary discussion on advances in data mining underpinning carrying out interdisciplinary studies  on data mining.

 

The manual extraction of patterns from data has occurred for centuries. Early methods of identifying patterns in data include Bayes' theorem (1700s) and regression analysis (1800s). The proliferation, ubiquity and increasing power of computer technology has dramatically increased data collection, storage, and manipulation ability. As data sets have grown in size and complexity, direct "hands-on" data analysis has increasingly been augmented with indirect, automated data processing, aided by other discoveries in computer science, such as neural networks, cluster analysis, genetic algorithms (1950s), decision trees and decision rules (1960s), and support vector machines (1990s). Data mining is the process of applying these methods with the intention of uncovering hidden patterns in large data sets. It bridges the gap from applied statistics and artificial intelligence (which usually provide the mathematical background) to database management by exploiting the way data is stored and indexed in databases to execute the actual learning and discovery algorithms more efficiently, allowing such methods to be applied to ever larger data sets.

Currently data mining is becoming of great importance while counter terrorism.

However, the issue of data mining as well as approaches, methodologies, methods, techniques and instruments in data mining are insufficiently discussed including seminars and conference, which take place in Baltic countries. The proposed project aims at filling in this lacuna, contributing to the research on advances in data mining by widening this field with interdisciplinary studies. The proposed project will provide a possibility for researchers working in this field come together and exchange their ideas and interests.

The wider goal of the proposed project is to demonstrate usability of data mining for education, economics, engineering and finances.

All project partners have an extensive experience, and many researchers work in the field of data mining. It will allow organizing a high quality review process, which will ensure high quality of the publications and fruitful discussion during the seminars.

Scientific seminar and conference will facilitate further cooperation and technology transfer within various scientific disciplines between institutions in the Baltic countries and German partner higher education establishments within H2020 and other research and project programs.

Free of charge registration as well as extensive advertisement program of the seminar and conference will ensure a sufficient number of the seminar and conference participants and listeners.

Target group:

Direct:

Klaipeda University academic staff and students of Faculty of Humanities and Educational Sciences (~40 persons), Kaunas University of Technology academic staff (4 persons) and Vytautas Magnus University (3 persons).

Hochschule Wismar academic staff and students of Faculty of Engineering of Department of Mechanical Engineering, Robert-Schmidt-Institute (~20 persons) and Department of Electrical Engineering and Informatics, Communications Signal Processing Group (~20 persons).

Riga Technical University academic staff and students of Faculty of Electronics and Telecommunications (~40 persons).

Participants from higher education institutions, research organizations, business, etc are welcomed. Target group are scientists, engineers, economists, businessmen, ICT specialists and students.

It is planned to receive approximately 20 applications for making presentations during the seminar and conference RTUWO 2018 and 20 papers and accept approximately 10 presentations and 10 papers. Moreover, approximately 40 listeners without publications are expected. Therefore the seminar and conference RTUWO 2018 will serve 50 attendants, 10 presentations and approximately 10 scientific publications.

During the seminar and conference RTUWO 2018 2 keynote talks to be given by Andreas Ahrens (Hochschule Wismar, Germany) and Ojaras Purvinis (Kaunas University of Technology, Lithuania) are planned.

 

Indirect

-       staff (15 persons) as well as PhD (9 persons) and Master students (12 persons) of higher education institutions,

-       staff (10 persons) and clients (25 persons) of ICT industry and business, etc.

Main activities of the project and possible venue(s) where the project activities will take place:

1. Preliminary information exchange on advances in data mining and discussion on data mining methodologies, etc (Hochschule Wismar, Klaipeda University, Centre for Education and Innovation Research, Steinbeis Hochschule Berlin, Kaunas University of Technology, Vytautas Magnus University, Tartu University; Tallinn University of Technology, Rezekne Academy of Technology, Riga State Technical School and Riga Technical University Internet communication between partners)

2. Klaipeda University, Centre for Education and Innovation Research and Riga Technical University staff short visit to Hochschule Wismar. Discussions on organization of interdisciplinary studies in data mining and Guest lecture / Seminar (Hochschule Wismar, Germany)

3. Methodology development and data acquisition (Hochschule Wismar, Klaipeda University, Centre for Education and Innovation Research, Steinbeis Hochschule Berlin, Kaunas University of Technology, Vytautas Magnus University and Tartu University; Tallinn University of Technology, Rezekne Academy of Technology, Riga State Technical School and Riga Technical University)

4. Hochschule Wismar, Steinbeis Hochschule Berlin, and Klaipeda University staff short visit to Riga Technical University. Experiment results and Conference RTUWO 2018 presentations / Conference RTUWO 2018 (Riga Technical University, Latvia)

5. Experimental data processing and analysis (Internet communication between Hochschule Wismar, Klaipeda University, Centre for Education and Innovation Research, Steinbeis Hochschule Berlin, Kaunas University of Technology, Vytautas Magnus University and Tartu University, Tallinn University of Technology, Rezekne Academy of Technology, Riga State Technical School and Riga Technical University Internet communication between partners)

6. Preparation and submission of papers/joint publication (Hochschule Wismar, Klaipeda University, Centre for Education and Innovation Research, Steinbeis Hochschule Berlin, Kaunas University of Technology, Vytautas Magnus University and Tartu University; Tallinn University of Technology, Rezekne Academy of Technology, Riga State Technical School and Riga Technical University Internet communication between partners)

7. Preparation of Project report (Klaipeda University, Lithuania; Internet communications between partners)

Public events in the frame of the project:

21 September 2018 from 9.00am to 14.30pm – Seminar at Hochschule Wismar, Germany

 

15. November, 8.45 - 12.30

Riga Technical University, Faculty of Electronics and Telecommunications, Āzenes iela 12, Riga, Latvia

RTUWO-Conference 

Program