Take a copy of our flyer on knowledge discovery in environmental databases.
 

ANALYSIS OF ENVIRONMENTAL DATA 
WITH MACHINE LEARNING METHODS

Location: Jozef Stefan Institute, Jamova 39, Ljubljana

This is the tenth seminar on the above topic since November 1996.
An online version of the introductory talk at a previous seminar of this series can be found here.
Information on previous seminars in this series can be found here.

Information on travel to Slovenia and Ljubljana can be found here.

in cooperation with

University of Ljubljana, Faculty of civil and geodetic engineering and
Polytechnic Nova Gorica, School of Environmental Sciences

For graduate students of the School of Environmental Sciences, the seminar counts as a specialized elective subject
(Data analysis with machine learning methods, 9 ECTS points).

Financially supported by the EU funded project
SIGMEA: Sustainable Introduction of Genetically Modified Crops into European Agriculture

Environmental data often need to be analysed in order to obtain information necessary for environmental management decisions. Sometimes it is necessary to use the data to build a model of the environmental process that we want to manage. In other cases the analysis is necessary to understand the environmental processes studied by identifying and understanding the interrelationships of different parameters.

Machine learning can be used to elicit regularities from data. In comparison to simple forms of regularities/dependencies treated by statistical methods, machine learning methods can find more complex regularities/dependencies that include both numerical and logical conditions.

The seminar will give an introduction to selected machine learning methods as well as illustrative case studies of using these methods to analyse environmental data, such as modeling algal growth in lakes and lagoons, analysing the influence of physical and chemical parameters on selected bioindicator organisms, and predicting the biodegradability of chemical compounds. The participants will learn to use selected machine learning tools and will have the opportunity for practical work with these tools on real environmental data. The machine learning methods and tools introduced are applicable to data analysis problems from different areas.

The seminar is intended for researchers and other professionals in the areas of biology, chemistry, environmental science, and other areas related to ecology and environmental management, whose work requires the analysis of environmental data or modeling ecological processes.

Contents

• Introduction to machine learning
• Data mining and knowledge discovery
• Evaluating classifiers
• Instance-based learning (nearest neighbor classification)
• Introduction to decision trees
• Learning classification and regression trees
• Learning classification rules
• Naive Bayesian classification
• Machine discovery of equations
• Selecting and combining classifiers
• An overview of environmental applications of machine learning
• Analysis of the influence of environmental factors on respiratory diseases
• Analysis of the influence of soil habitat features on the abundance of Collembola
• Modeling phytoplankton growth
• Modeling interactions among red deer population, meteorological parameters and new forest growth
• Case studies of using machine learning to analyse ecological data
• Analysis of water quality data (Slovenian and English rivers)
• Modeling algal growth in the Lagoon of Venice and Lake Bled
• Predicting biodegradability of chemical compounds
• Runoff prediction from rainfall and past runoff
• Demonstrations/hands-on exercises/practical work with machine learning software packages

on real ecological data and individual consultations with lecturers
• Participant presentations and discussion

A detailed (preliminary) programme/schedule can be found here.

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Duration:

Lecturers

• Professor Ivan Bratko , Faculty of computer and information sciences, University of Ljubljana and

Jozef Stefan Institute, Ljubljana
• Dr. Saso Dzeroski, Assistant Professor, Jozef Stefan Institute, Ljubljana
• Dr. Boris Kompare, Associate Professor, Faculty of civil and geodetic engineering, University of Ljubljana

Please register by the 15th of February at the latest. The number of participants is limited, so early registration is recommended. Registration is on a first-come first-served basis. The registration fee for the seminar is 790 EUR (or 950 USD). It includes access to the lectures, demonstrations and hands-on work, seminar materials, lunches, refreshments, one dinner and taxes (DDV).

Payment should be done by the 15th of February by bank transfer or check. Please send receipt of payment or check made out to:

          Account holder: Jozef Stefan Institute,
                          Jamova 39, 1000 Ljubljana, Slovenia
          Account number: 02923-0017445105
               Bank Name: NOVA LJUBLJANSKA BANKA d.d.
            Bank Address: Trg Republike 2, 1520 Ljubljana
                    IBAN: SI56029230017445105
         S.W.I.F.T. code: LJBASI2X
   Reference for payment: AEDML COURSE 0206

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