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October 2003 - present
Publications
Publications (93)
The methods of conceptual scaling and generalized one-sided concept lattices represent different possibilities on how to deal with many-valued contexts. We briefly describe these methods and prove that they are equivalent. In particular, we show that the application of these two approaches to a given many-valued context yields the same closure syst...
Machine learning techniques have been increasingly used in astronomical applications and have proven to successfully classify objects in image data with high accuracy. The current work uses archival data from the Faint Images of the Radio Sky at Twenty Centimeters (FIRST) to classify radio galaxies into four classes: Fanaroff-Riley Class I (FRI), F...
In the last couple of decades, tremendous progress has been achieved in developing robotic telescopes and, as a result, sky surveys (both terrestrial and space) have become the source of a substantial amount of new observational data. These data contain a lot of information about binary stars, hidden in their light curves. With the huge amount of a...
Structures in the solar corona are the main drivers of space weather processes that might directly or indirectly affect the Earth. Thanks to the most recent space-based solar observatories, with capabilities to acquire high-resolution images continuously, the structures in the solar corona can be monitored over the years with a time resolution of m...
Lightning strikes can be routinely observed by the radio receivers that measure electromagnetic signals in the very low frequency range. The acquired pulses called atmospherics provide valuable details about source lightning discharges and also about the Earth‐ionosphere waveguide where they can propagate thousands of kilometers. The automatic acqu...
In this paper, we present examples of changes in VLF signals used to monitor the lower ionosphere. The mentioned changes in signal characteristics are caused by astro- and geo-phenomena. We indicate the possibility of applying machine learning in statistical analysis of these changes, which is the basis of the work on the Serbian Slovak bilateral p...
Generative Adversarial Network (GAN) is an exciting innovation in machine learning within the neural network field. These models are able to generate a realistic image, video or even voice output. One of the useful applications is its possibility to enrich data sets for better learning of neural network models. In the presented work, we focus on im...
Edge-on galaxies have many important applications in galactic astrophysics, but they can be difficult to identify in vast amounts of astronomical data. To facilitate the search for them, we have developed a deep learning algorithm designed to identify and extract edge-on galaxies from astronomical images. We utilised a sample of edge-on spiral gala...
: Parkinson's disease is one of the most common neurological diseases. The patients suffer from different symptoms, e.g., tremor, bradykinesia, or walk gait disorders. One of the gait disorders which affects Parkinson's disease patients is freezing of gait, which shows as a sudden gait interruption without the ability to take the next step. It is h...
In this work, we analyze the aspects of user reactions during their work with a mobile phone. We tried to find the most crucial positions within the mobile screen, which provide essential information and stimulus. One of the main factors is to know which part of the screen is the first interest of the user and which part the user reacts to the fast...
Structures in the solar corona are the main drivers of space weather processes that might directly or indirectly affect the Earth. Thanks to the most recent space-based solar observatories, with capabilities to acquire high-resolution images continuously, the structures in the solar corona can be monitored over the years with a time resolution of m...
In the last couple of decades, tremendous progress has been achieved in developing robotic telescopes and, as a result, sky surveys (both terrestrial and space) have become the source of a substantial amount of new observational data. These data contain a lot of information about binary stars, hidden in their light curves. With the huge amount of a...
Machine learning techniques have been increasingly used in astronomical applications and have proven to successfully classify objects in image data with high accuracy. The current work uses archival data from the Faint Images of the Radio Sky at Twenty Centimeters (FIRST) to classify radio galaxies into four classes: Fanaroff-Riley Class I (FRI), F...
The emergence of anti-social behaviour in online environments presents a serious issue in today’s society. Automatic detection and identification of such behaviour are becoming increasingly important. Modern machine learning and natural language processing methods can provide effective tools to detect different types of anti-social behaviour from t...
Introduction:
Currently, just a few major parameters are used for cardiovascular (CV) risk quantification to identify many of the high-risk subjects; however, they leave a lot of them with an underestimated level of CV risk which does not reflect the reality.
Material and methods:
The submitted study design of the Kosice Selective Coronarography...
Successful data science projects usually follow some methodology which can provide the data scientist with basic guidelines on how to challenge the problem and how to work with data, algorithms, or models. This methodology is then a structured way to describe the knowledge discovery process. Without a flexible structure of steps, data science proje...
Spreading of misinformation on the web nowadays represents a serious issue, as their influence on peoples opinions may be significant. Fake news represents a specific type of misinformation. While its detection was mostly being performed manually in the past, automated methods using machine learning and related fields became more critical. On the o...
Digital data are all around us and occurs in various forms as videos, pictures or texts. Digital documents represent the vast
majority of such data. It can be e-news, social media contributions and so on. They can contain useful information, but due to their
amount, it is time-consuming to find relevant information for the concrete company or perso...
A certain connection between the theory of aggregation functions and the theory of concept lattices is discussed. We describe a generalization of residuated mappings, convenient for creating a monotone analogue of antitone concept lattices. Examples of such mappings are also presented.
This paper is devoted to the interactive visualization of search results obtained by the search engine using the concept lattices. We provide a tool in which the process is realized from the query input, the creation of the concept lattice and then its visualization. The concept lattices are created using Formal Concept Analysis which hierarchicall...
Nitric oxide (NO) is a critical indicator of energy deposition in the lower thermosphere because of its formational pathways. Thus, it is important to constrain sources of NO, such as meteoroid generated hypersonic flows below 95 km altitude. This paper aims to examine the process of and place the upper estimate on NO production in high temperature...
In this paper, we present an approach to support exploratory search by structuring search results based on concept lattices, which are created on the fly using advanced methods from the area of Formal Concept Analysis (FCA). The main aim of the approach is to organize query based search engine results (e.g. web documents) as a hierarchy of clusters...
Modern aircraft turbojet engines represent complex systems where it is important to focus on the issues of safety, reliability, efficiency and also the reduction of maintenance costs. Continuous progress in diagnostics brings new possibilities in the implementation of progressive methods instead of traditional based on the use of hardware redundanc...
One of the approaches applied in data analysis is related to the theory of concept lattices, also known as Formal Concept Analysis (FCA), which is suitable for processing and analysis of object-attribute input data models. Concept lattice represents hierarchically organized structure of clusters of objects (concepts) based on the presence of their...
There are many approaches and tools which deal with conceptual structures in datasets and their main goal is to support user in understanding of data and structure. One of methods is formal concept analysis (FCA) which is suitable for processing and analyzing input data of object-attributes models based on their relationship. One from FCA family is...
The presented paper describes the design and implementation of R functions for twitter feeds analysis and visualization based on a combination of analytical technologies with big data processing tools. The main idea was to utilize the Hadoop processing framework and its storage and computational capabilities in analytical tasks designed and impleme...
Generalized One-Sided Concept Lattices (GOSCL) represent a tool for extraction of hidden hierarchical structure among the datasets with different types of attributes. The specific problem of this method is an interpretation of the results from large created hierarchies, what often leads to the selection of the most relevant concepts. Subsets qualit...
One of the ways to describe the content of internet sources is known as topic modeling, which tries to uncover the hidden thematic structures in document collections. Topic modeling applied to social networks can be useful for analysis in case of crisis situations, elections, launching a new product on the market etc. It becomes popular research ar...
Topic modeling becomes a popular research area which shows us new way to search, browse and summarize large amount of texts. Methods of topic modeling try to uncover the hidden thematic structure in document collections. Topic modeling in connection with social networks, which are one of the strongest communication tool and produces large amount of...
In this paper we provide modification of approaches for extraction of keyphrases from single textual document (without external information) based on the hierarchical concepts created upon the text of particular document. For the creation of hierarchical concepts method from area of Formal Concept Analysis (FCA) is used, which organizes objects int...
The paper presents the Jbowl, Java software library for data and text analysis, and various research activities performed and implemented on top of the library. The paper describes the various analytical services for text and data mining implemented in Jbowl as well as numerous extensions aimed to address the evolving trends in data and text analys...
Generalized one-sided concept lattices (GOSCL) represent an FCA-like method for analysis of object-attribute models with different types of attributes. Since the number of concepts can be exponential with respect to the number of objects in a model, study of various reduction methods represents one of the most recognized problems in FCA. One of suc...
One of the conceptual methods in data mining area is based on the one sided concept lattices, which belongs to approaches known as Formal Concept Analysis (FCA). It provides an analysis of objects clusters according to the set of fuzzy attributes. The specific problem of such approaches is sometimes large number of concepts created by the method, w...
In this paper we present the study on the usage of distributed version of the algorithm for generalized one-sided concept lattices (GOSCL), which provides a special case for fuzzy version of data analysis approach called formal concept analysis (FCA). The methods of this type create the conceptual model of the input data based on the theory of conc...
In this paper we provide a modification of one-sided concept lattices based on the usage of fuzzy separable modifiers. The proposed method is motivated by so-called fuzzy concept lattices with hedges and represents their slight modification. In fuzzy set theory, modifiers are often defined within the framework of linguistic variables, representing...
In this paper we provide the distributed version of algorithm for creation of model Generalized One-Sided Concept Lattices (GOSCL), special case for fuzzy version of data analysis approach called Formal Concept Analysis (FCA), which provide the conceptual model of input data based on the theory of one-sided concept lattices and was successfully app...
In this paper we describe Generalized One-sided Concept Lattices (GOSCL) as facet-like structures. Facet-like structures occur in many computer science disciplines as some hierarchical structures. GOSCL constitute from (objects, properties) pairs known as the formal concepts. The hierarchical structure of formal concepts, ordered by the generalizat...
In this paper we provide the new version of algorithm for creation model called Generalized One-Sided Concept Lattice (GOSCL). This model provides the specific fuzzy version of data analytical method based on the approach known as Formal Concept Analysis (FCA), which supports data tables containing the multiple types of attributes defined as fuzzy...
Export Date: 30 September 2015, Correspondence Address: Technical University of Košice, Faculty of Electrical Engineering and Informatics, Department of Cybernetics and Artificial Intelligence, Košice, Slovakia, References: Bělohlávek, R., Reduction and a Simple Proof of Characterization of Fuzzy Concept Lattices (2001) Fundamenta Informaticae, 46...
In this paper we describe possible interpretation and reduction of fuzzy attributes in Generalized One-sided Concept Lattices (GOSCL). This type of concept lattices represent generalization of Formal Concept Analysis (FCA) suitable for analysis of data tables with different types of attributes. FCA as well as generalized one-sided concept lattices...
In this paper we describe the possibility for usage of generalized version of one-sided (fuzzy) concept lattices, which represents analytical method from the area of Formal Concept Analysis (FCA), for joining of several simple object-attribute models. The main advantage of the algorithm for (so-called) Generalized One-sided Concept Lattices (GOSCL)...
This paper presents the hybrid approach for visualization of documents sets by the combination of hierarchical clustering method, based on the Growing Hierarchical Self-Organizing Maps algorithm, and Sammon projection. Algorithms based on the self-organizing maps provide robust clustering method suitable for visualization of larger number of docume...
In this paper we provide an integrated platform composed of several ICT tools enabling traceability of information between individual steps of collaborative policy modelling process proposed by the OCOPOMO project. This process combines collaborative creation and analysis of narrative scenarios with agent-based simulation models. The policy model f...
The paper addresses the concept of Technology Enhanced Learning, which is in focus of the IT4KT project of the Technical University of Kosice. Namely, we present an approach towards the collaborative design and implementation of semantic structures that are capable to support an automation in selected educational processes, especially in mathematic...
We describe a representation of the fuzzy concept lattices, defined via antitone Galois connections, within the framework of classical Formal Concept Analysis. As it is shown, all needed information is explicitly contained in a given formal fuzzy context and the proposed representation can be obtained without a creation of the corresponding fuzzy c...
Robert Fuller We provide a generalization of one-sided (crisp-fuzzy) concept lattices, based on Galois connections. Our approach allows analysis of object-attribute models with different structures for truth values of attributes. Moreover, we prove that this method of creating one-sided concept lattices is the most general one, i.e., with respect t...
One-sided concept lattices introduce data mining method from the area of Formal Concept Analysis (FCA) for analysis of objects clusters according to the set of fuzzy attributes. Currently, most of the methods for creation of one-sided concept lattices process only data tables with one type of truth value structure. In this chapter we describe closu...
In this paper we provide experimental comparison on time complexity of algorithm for creation of Generalized One-Sided Concept Lattices according to the sparseness of the input data table between standard and sparse-based implementation. It is an incremental algorithm related to FCA (Formal Concept Analysis), which is ready to be used with various...
In this paper we describe design and integration of ICT-based tools for achieving the traceability of information between several steps of collaborative policy modelling process proposed by the OCOPOMO project. This process combines collaborative creation a collaborative creation and analysis of narrative scenarios with agent-based simulation model...
In this paper the relationship between one-sided concept lattices and their restricted version is described. One-sided concept lattices are based on the Galois connections within Formal Concept Analysis (FCA) framework, which allows to analyse object-attribute models with different structures for truth values of attributes. We present the approach...
In this paper we describe use of cloud computing platform for support of distributed creation of conceptual models based on the FCA (Formal Concept Analysis) framework. FCA is one of the approaches which can be applied in process of conceptual data analysis. Extension of classical FCA (binary table data) is (one-sided) fuzzy version that works with...
In this paper we describe the application of Formal Concept Analysis (FCA) for analysis of data tables with different types of attributes. FCA represents one of the conceptual data mining methods. The main limitation of FCA in classical case is the exclusive usage of binary attributes. More complex attributes then should be converted into binary ta...
This paper describes design and integration of several tools for ICT-based support of knowledge intensive activities within the process of collaborative policy modelling proposed by the project OCOPOMO. This process combines collaborative creation and analysis of narrative scenarios with agent-based simulation models. The policy model for a given d...
In this paper we provide experimental study on time complexity of GOSCL algorithm according to the sparseness of the input data table. GOSCL is incremental algorithm for the creation of Generalized One-Sided Concept Lattices, which is related to well-known Formal Concept Analysis area, but with the possibility to work with different types of attrib...
Along the demands for good governance and open government, policymakers need concise, reliable and up-to-date information to respond to society’s problems and affairs in an efficient and effective way. Likewise, stakeholders affected by a particular policy call for transparency, accountability and trustworthiness in political decision-making. Along...
In this paper we provide some complexity aspects of incremental algorithm for creation of generalized one-sided concept lattices. The novelty of this algorithm is in its possibility to work with different types of attributes and produce one-sided concept lattice from the generalized one-sided formal context. As it is shown in the paper, the complex...
Technology enhanced learning is one of the intensively researched domains, because it promises interesting contribution to educational processes at various levels, in particular in higher education. This paper presents our approach to design and implementation of semantic-based electronic services, which will support selected educational processes,...
One of the important issues in information retrieval is to provide methods suitable for searching in large textual datasets. Some improvement of the retrieval process can be achieved by usage of conceptual models created automatically for analysed documents. One of the possibilities for creation of such models is to use well-established theory and...
In this paper we describe incremental algorithm for generalized one-sided concept lattices based on the Galois connections within Formal Concept Analysis (FCA) framework, which allows to analyse object-attribute models with different structures for truth values of attributes. Therefore, this method provide interesting opportunity for researcher or...
The paper describes a design of system architecture for support of collaborative policy modelling processes in electronic governance. The policy modelling processes, as complex and knowledge intensive activities, combine collaborative creation and analysis of narrative scenarios with agent-based simulation. The proposed architecture will support co...
Searching for relevant documents in large sets of documents is one of the key tasks in the areas of semantic web and knowledge technologies. This paper deals with analysis and design of improvement for information retrieval (IR) using specific conceptual model automatically created from semantically non-annotated set of text documents. This concept...
This paper provides an overview of our research activities aimed at efficient useof Grid infrastructure to solve various text mining tasks. Grid-enabling of various textmining tasks was mainly driven by increasing volume of processed data. Utilizing the Gridservices approach therefore enables to perform various text mining scenarios and alsoopen wa...
This paper describes design and implementation aspects for extension of our original software system developed in Java for support of information retrieval and text mining with specialized execution engine for different type of tasks. Some of our experiences and specific requirements of the real applications lead us to idea give the system possibil...
In this article we describe an approach for semantic-based analysis of discussions within semantic-based groupware system (GWS) in SAKE project. SAKE (semantic agile knowledge-based e-government) is a STREP Project sponsored by the European Union starting March in 2006. The overall objective of SAKE is to specify, develop and deploy a holistic fram...
Formal concept analysis (FCA) is one of the approaches which can be applied in process of conceptual modeling in domain of text documents. FCA can be used for formal analysis of data tables and identification of similar objects - clusters (concepts). Extension of classic FCA (binary table data) is one-sided fuzzy version that works with real values...
This paper describes the IST-2005-034891 project HYDRA ("Net-worked Embedded System Middleware for Heterogeneous Physical Devices in a Distributed Architecture") funded within the FP6 IST Programme. HYDRA project aims at development of middleware for intelligent networked embedded system based on service-oriented architecture, deployable on both ne...
Katedra kybernetiky a umelej inteligencie, Fakulta elektrotechniky a informatiky, Technická univerzita v Košiciach, Katedra kybernetiky a umelej inteligencie, Fakulta elektrotechniky a informatiky, Technic-ká univerzita v Košiciach, Abstrakt. Táto práca sa zaoberá zhlukovaním textových dokumentov, zhluko-vacími algoritmami a možnosťou ich distribúc...
This paper describes the IST-2005-034891 project HYDRA (full title "Networked Embedded System Middleware for Heterogeneous Physical Devices in a Distributed Architecture") funded within the FP6 IST Programme. HYDRA is an integrated project (IP), which started in July 2006, its planned duration is 48 months. The project consortium consists of 13 par...
This paper presents the fusion of two approaches – Grid and Grid computing and text mining. GridMiner is a system developed at University of Vienna, and it is a framework for knowledge discovery process in the distributed Grid environment. JBOWL is a framework for text mining and information retrieval being developed at Technical University in Koši...
This paper describes semantic-based device description which will be designed and implemented in the IST-2005-034891 project HYDRA ("Ne- tworked Embedded System Middleware for Heterogeneous Physical Devices in a Distributed Architecture") funded within the FP6 IST Programme. HYDRA project aims at development of middleware for intelligent networked...
Conference code: 95556, Export Date: 30 September 2015, Correspondence Address: Sarnovský, M.; Katedra Kybernetiky A Umelej Inteligencie, Fakulta Elektrotechniky A Informatiky, Technická Univerzita v Košiciach, Letná 9, 04200 Košice, Slovakia; email: martin.sarnovsky@tuke.sk, References: Ganter, B., Wille, R., (1997) Formal Concept Analysis, , Math...
Conference code: 95555, Export Date: 30 September 2015, Correspondence Address: Butka, P.; Katedra Kybernetiky A Umelej Inteligencie, Fakulta Elektrotechniky A Informatiky, Technická Univerzita v Košiciach, Letná 9, 04200 Košice, Slovakia; email: peter.butka@tuke.sk, References: Kohonen, T., Self organization of a massive document collection (2000)...
Conference code: 95551, Export Date: 30 September 2015, Correspondence Address: Butka, P.; Katedra Kybernetiky A Umelej Inteligencie, Fakulta Elektrotechniky A Informatiky, Technická Univerzita v Košiciach, Letná 9, 041 20 Košice, Slovakia; email: Peter.Butka@tuke.sk, References: Ganter, B., Wille, R., (1997) Formal Concept Analysis, , Mathematical...