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DELVENEELT

Advances in Data Mining

Time of implementation

June 15, 2017 - December 15, 2017

Involved countries and institutions

1. Germany: Hochschule Wismar

2. Germany: Steinbeis Hochschule Berlin

3. Lithuania: Klaipeda University

4. Lithuania: Kaunas University of Technology

5. Latvia: Centre for Education and Innovation Research

6. Estonia: Tartu University, Center of Educational Innovation

Aim(s) of the project

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

The project is dedicated to the interdisciplinary discussion on advances in data mining underpinning elaboration of socio-technical approach to 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, 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 approach. 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 and engineering.

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 seminars 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 programmes.

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

Target group 

Direct: Klaipeda University academic staff and students of Faculty of Humanities and Educational (~40 persons) and Kaunas University of Technology academic staff (4 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). 

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 seminars and 20 papers and accept approximately 10 presentations and 10 papers. Moreover, approximately 40 listeners without publications are expected. Therefore the seminar will serve 50 attendants, 10 presentations and approximately 10 scientific publications.

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

Indirect (Public not directly involved in the project activities): an increased quality service will be received by 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 venues(s) where the project activities will be carried out

 

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 and Tartu University; Internet communication between partners)

2. Klaipeda University, Centre for Education and Innovation Research and Tartu University staff short visit to Hochschule Wismar. Discussions on advances in data mining and Guest lecture / Seminar (Hochschule Wismar, Germany)  

3. Model development and data acquisition module (Klaipeda University, Lithuania) 

4. Hochschule Wismar, Steinbeis Hochschule Berlin, Centre for Education and Innovation Research and Tartu University staff short visit to Klaipeda University. Joint experiments and Guest lecture / Seminar (Klaipeda University, Lithuania) 

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 and Tartu 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 and Tartu University; Internet communication between partners)

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


Planned public events


September 22, 9.00-14.30

University of Applied Sciences Wismar, Germany

Workshop


October 27, 8.45-14.30

Klaipeda University, Faculty of Humanities and Education Sciences, Room 304, S. Neries 5, Klaipeda, Lithuania

Seminar „Advances in Data-Mining (ADM)”

English

Program

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