Displaying similar documents to “MPGN – An Approach for Discovering Class Association Rules”

Towards a Flexible Author Name Disambiguation Framework

Bolikowski, Łukasz, Dendek, Piotr Jan

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In this paper we propose a flexible, modular framework for author name disambiguation. Our solution consists of the core which orchestrates the disambiguation process, and replaceable modules performing concrete tasks. The approach is suitable for distributed computing, in particular it maps well to the MapReduce framework. We describe each component in detail and discuss possible alternatives. Finally, we propose procedures for calibration and evaluation of the described system. ...

Classifier PGN: Classification with High Confidence Rules

Mitov, Iliya, Depaire, Benoit, Ivanova, Krassimira, Vanhoof, Koen (2013)

Serdica Journal of Computing

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ACM Computing Classification System (1998): H.2.8, H.3.3. Associative classifiers use a set of class association rules, generated from a given training set, to classify new instances. Typically, these techniques set a minimal support to make a first selection of appropriate rules and discriminate subsequently between high and low quality rules by means of a quality measure such as confidence. As a result, the final set of class association rules have a support equal or greater...

Computer Networks Security Models - A New Approach for Denial-of-Services Attacks Mitigation

Tsvetanov, Tsvetomir (2010)

Serdica Journal of Computing

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Computer networks are a critical factor for the performance of a modern company. Managing networks is as important as managing any other aspect of the company’s performance and security. There are many tools and appliances for monitoring the traffic and analyzing the network flow security. They use different approaches and rely on a variety of characteristics of the network flows. Network researchers are still working on a common approach for security baselining that might enable early...

An Analysis of Colour Semantics in Art Images

Ivanova, Krassimira (2012)

Serdica Journal of Computing

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This article presents the principal results of the Ph.D. thesis A Novel Method for Content-Based Image Retrieval in Art Image Collections Utilizing Colour Semantics by Krassimira Ivanova (Institute of Mathematics and Informatics, BAS), successfully defended at Hasselt Uni-versity in Belgium, Faculty of Science, on 15 November 2011. The article briefly presents the results achieved by the PhD project R-1875 “Search in Art Image Collections Based on Colour Semantics”, Hasselt...

Real-valued GCS classifier system

Łukasz Cielecki, Olgierd Unold (2007)

International Journal of Applied Mathematics and Computer Science

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Learning Classifier Systems (LCSs) have gained increasing interest in the genetic and evolutionary computation literature. Many real-world problems are not conveniently expressed using the ternary representation typically used by LCSs and for such problems an interval-based representation is preferable. A new model of LCSs is introduced to classify real-valued data. The approach applies the continous-valued context-free grammar-based system GCS. In order to handle data effectively, the...

An Open Virtual World for Professional Development

Stefanova, Eliza (2013)

Serdica Journal of Computing

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The paper presents a study that focuses on the issue of sup-porting educational experts to choose the right combination of educational methodology and technology tools when designing training and learning programs. It is based on research in the field of adaptive intelligent e-learning systems. The object of study is the professional growth of teachers in technology and in particular that part of their qualification which is achieved by organizing targeted training of teachers. The article...