The project is supported by Croatian Science Foundation
Contract number: 9623
Starting date: August 16th 2014
Finished: August 15th 2017

Web service: Exploratory clustering

Press clip

Book: Foundations of Rule Learnig
by J.Fuernkranz, D.Gamberger, and N.Lavrac

Handbook: Data Mining for Knowledge Discovery (in Croatian)
by D.Gamberger

Project summary

Induction is a process of knowledge extraction from information contained in data. In our work we will concentrate on descriptive induction whose goal is to construct knowledge that enables human understanding of the data. Included are techniques for construction of user-interpretable models, segmentation of the corpus of examples, and detection of outliers.

The methodology is relevant for the computer science fields known as intelligent data analysis, knowledge discovery from data, and data mining. At Rudjer Boskovic Institute we are developing machine learning algorithms for more than 15 years and we have successfully applied them in various domains including chemistry, biology, medicine, social sciences, economics, and manufacturing. With this project we want to extend the existing methodology and to implement novel techniques able to cope with data contained in complex structures.

The main topic will be spatio-temporal structures but we will work also with networks of data, relational databases, and data contained in ontologies. Previous experience clearly demonstrates that complete transformation of information contained in structured data into a form that may enter the induction process is not a simple task. Our goal is to develop and implement systematic and general approaches for this conversion. The consequence will be the explosion of generated data that must enter into the process of induction. Therefore, the second goal will be the implementation of efficient algorithms for descriptive induction. The work includes development of novel algorithms for clustering and outlier detection in sets of unclassified examples and implementation of rule learning algorithms in hardware. The third goal is application and evaluation of implemented algorithms in various real life domains. The success of the complete project will be measured by the quality and usefulness of knowledge obtained in these applications.


Technical support


Work plan progress

Published papers in year 2017

Published papers in year 2016

Published papers in year 2015

Published papers in year 2014