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35 results on '"Zielosko, Beata"'

2. Global Optimization of Exact Association Rules Relative to Coverage

Author

Zielosko, Beata, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Kryszkiewicz, Marzena, editor, Bandyopadhyay, Sanghamitra, editor, Rybinski, Henryk, editor, and Pal, Sankar K., editor

Published
2015
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3. On Partial Covers, Reducts and Decision Rules

Author

Moshkov, Mikhail Ju., Piliszczuk, Marcin, Zielosko, Beata, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Peters, James F., editor, and Skowron, Andrzej, editor

Published
2008
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4. Improved EAV-Based Algorithm for Decision Rules Construction.

Author

Żabiński, Krzysztof and Zielosko, Beata

Subjects
*ALGORITHMS, *STANDARD deviations, *INDUCTION (Logic), *ROUGH sets, *HEURISTIC, *FEATURE selection
Abstract

In this article, we present a modification of the algorithm based on EAV (entity–attribute–value) model, for induction of decision rules, utilizing novel approach for attribute ranking. The selection of attributes used as premises of decision rules, is an important stage of the process of rules induction. In the presented approach, this task is realized using ranking of attributes based on standard deviation of attributes' values per decision classes, which is considered as a distinguishability level. The presented approach allows to work not only with numerical values of attributes but also with categorical ones. For this purpose, an additional step of data transformation into a matrix format has been proposed. It allows to transform data table into a binary one with proper equivalents of categorical values of attributes and ensures independence of the influence of the attribute selection function from the data type of variables. The motivation for the proposed method is the development of an algorithm which allows to construct rules close to optimal ones in terms of length, while maintaining enough good classification quality. The experiments presented in the paper have been performed on data sets from UCI ML Repository, comparing results of the proposed approach with three selected greedy heuristics for induction of decision rules, taking into consideration classification accuracy and length and support of constructed rules. The obtained results show that for the most part of datasests, the average length of rules obtained for 80% of best attributes from the ranking is very close to values obtained for the whole set of attributes. In case of classification accuracy, for 50% of considered datasets, results obtained for 80% of best attributes from the ranking are higher or the same as results obtained for the whole set of attributes. [ABSTRACT FROM AUTHOR]

Published
2023
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5. Data irregularities in discretisation of test sets used for evaluation of classification systems: A case study on authorship attribution

Author

Stańczyk, Urszula and Zielosko, Beata

Subjects
authorship attribution, stylometry, evaluation and test sets, rough sets, data irregularities, discretisation
Abstract

When patterns to be recognised are described by features of continuous type, discretisation becomes either an optional or necessary step in the initial data pre-processing stage. Characteristics of data, distribution of data points in the input space, can significantly influence the process of transformation from real-valued into nominal attributes, and the resulting performance of classification systems employing them. If data include several separate sets, their discretisation becomes more complex, as varying numbers of intervals and different ranges can be constructed for the same variables. The paper presents research on irregularities in data distribution, observed in the context of discretisation processes. Selected discretisation methods were used and their effect on the performance of decision algorithms, induced in classical rough set approach, was investigated. The studied input space was defined by measurable style-markers, which, exploited as characteristic features, allow to treat a task of stylometric authorship attribution as classification.

Published
2021

6. Condition attributes, properties of decision rules, and discretisation: Analysis of relations and dependencies.

Author

Zielosko, Beata and Stańczyk, Urszula

Subjects
ROUGH sets, DATA mining, MATHEMATICAL induction
Abstract

When mining of input data is focused on rule induction, knowledge, discovered in exploration of existing patterns, is stored in combinations of certain conditions on attributes included in rule premises, leading to specific decisions. Through their properties, such as lengths, supports, cardinalities of rule sets, inferred rules characterise relations detected among variables. The paper presents research dedicated to analysis of these dependencies, considered in the context of various discretisation methods applied to the input data from stylometric domain. For induction of decision rules from data, Classical Rough Set Approach was employed. Next, based on rule properties, several factors were proposed and evaluated, reflecting characteristics of available condition attributes. They allowed to observe how variables and rule sets changed depending on applied discretisation algorithms. [ABSTRACT FROM AUTHOR]

Published
2021
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7. Selected approaches for decision rules construction-comparative study.

Author

Zielosko, Beata and Żabiński, Krzysztof

Subjects
KNOWLEDGE representation (Information theory), ALGORITHMS, ROUGH sets, HEURISTIC, CLASSIFICATION
Abstract

Decision rules are popular form of knowledge representation. From this point of view, length of such rules is an important factor since it influences on data understanding by experts. Unfortunately, the problem of construction of short rules is NP-hard, so different heuristics are discussed in the literature. The paper presents comparison of two selected methods for decision rules construction. The first one is connected with a new algorithm based on EAV model, the second one - with construction of rules based on reduct. Decision rules were induced for data sets from UCI ML Repository and compared from the point of view of length and support, and from the point of view of classification accuracy. Results of Wilcoxon test are also included. [ABSTRACT FROM AUTHOR]

Published
2021
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8. Reduct-based ranking of attributes.

Author

Zielosko, Beata and Stańczyk, Urszula

Subjects
ROUGH sets, GENETIC algorithms, ATTRIBUTION of authorship, RANKING, FEATURE selection
Abstract

The paper is dedicated to the area of feature selection, in particular a notion of attribute rankings that allow to estimate importance of variables. In the research presented for ranking construction a new weighting factor was defined, based on relative reducts. A reduct constitutes an embedded mechanism of feature selection, specific to rough set theory. The proposed factor takes into account the number of reducts in which a given attribute exists, as well as lengths of reducts. Two approaches for reduct generation were employed and compared, with search executed by a genetic algorithm. To validate the usefulness of the reduct-based rankings in the process of feature reduction, for gradually decreasing subsets of attributes, selected through rankings, sets of decision rules were induced in classical rough set approach. The performance of all rule classifiers was evaluated, and experimental results showed that the proposed rankings led to at least the same, or even increased classification accuracy for reduced sets of features than in the case of operating on the entire set of condition attributes. The experiments were performed on datasets from stylometry domain, with treating authorship attribution as a classification task, and stylometric descriptors as characteristic features defining writing styles. [ABSTRACT FROM AUTHOR]

Published
2020
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9. Assessing quality of decision reducts.

Author

Stańczyk, Urszula and Zielosko, Beata

Subjects
ATTRIBUTION of authorship, ROUGH sets, FORECASTING
Abstract

The paper presents research focused on decision reducts, a feature reduction mechanism inherent to rough sets theory. As a reduct enables to protect the discriminative properties of attributes with respect to described concepts, from the point of data representation, a reduct length is considered to be the most important measure of its quality. However, such approach is insufficient while taking into account the performance of a reduct-based rule classifier applied to test samples. When many reducts of the same length are available, they can lead to vastly different predictions. The paper provides a description for the proposed procedure for iterative reduct generation, which results in decrease of diversity in the observed levels of accuracy, supporting reduct selection. The procedure was applied for binary classification with balanced classes, for the stylometric task of authorship attribution. [ABSTRACT FROM AUTHOR]

Published
2020
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10. On Approaches to Discretisation of Stylometric Data and Conflict Resolution in Decision Making.

Author

Stańczyk, Urszula and Zielosko, Beata

Subjects
CONFLICT management, DECISION making, ROUGH sets, ATTRIBUTION of authorship, AUTHORSHIP
Abstract

The paper presents research on unsupervised and supervised discretisation of input data used in execution of stylometric tasks of authorship attribution. Basing on numeric characterisation of writing styles, recognition of authorship is performed by decision rules, as their transparent structure enhances understanding of discovered knowledge. The performance of rule classifiers, constructed in rough set approach, is studied in the context of a strategy employed for resolving conflicts. It is also contrasted with that of other selected inducers. [ABSTRACT FROM AUTHOR]

Published
2019
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11. Comparison of Heuristics for Optimization of Association Rules.

Author

Alsolami, Fawaz, Amin, Talha, Moshkov, Mikhail, Zielosko, Beata, and Żabiński, Krzysztof

Subjects
DYNAMIC programming, HEURISTIC, RULES, ROUGH sets
Abstract

In this paper, seven greedy heuristics for construction of association rules are compared from the point of view of the length and coverage of constructed rules. The obtained rules are compared also with optimal ones constructed by dynamic programming algorithms. The average relative difference between length of rules constructed by the best heuristic and minimum length of rules is at most 4%. The same situation is with coverage. [ABSTRACT FROM AUTHOR]

Published
2019
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12. Application of Dynamic Programming Approach to Optimization of Association Rules Relative to Coverage and Length.

Author

Zielosko, Beata

Subjects
*DYNAMIC programming, *MATHEMATICAL optimization, *DATA mining, *APPROXIMATION theory, *MACHINE learning
Abstract

In the paper, an application of dynamic programming approach to global optimization of approximate association rules relative to coverage and length is presented. It is an extension of the dynamic programming approach to optimization of decision rules to inconsistent tables. Experimental results with data sets from UCI Machine Learning Repository are included. [ABSTRACT FROM AUTHOR]

Published
2016
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13. Dynamic Programming Approach for Construction of Association Rule Systems.

Author

Alsolami, Fawaz, Amin, Talha, Chikalov, Igor, Moshkov, Mikhail, and Zielosko, Beata

Subjects
DYNAMIC programming, ASSOCIATION rule mining, CARDINAL numbers, INFORMATION storage & retrieval systems, MATHEMATICAL optimization
Abstract

In the paper, an application of dynamic programming approach for optimization of association rules from the point of view of knowledge representation is considered. The association rule set is optimized in two stages, first for minimum cardinality and then for minimum length of rules. Experimental results present cardinality of the set of association rules constructed for information system and lower bound on minimum possible cardinality of rule set based on the information obtained during algorithm work as well as obtained results for length. [ABSTRACT FROM AUTHOR]

Published
2016
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14. Greedy Algorithms withWeights for Construction of Partial Association Rules.

Author

Moshkov, Mikhail Ju., Piliszczuk, Marcin, and Zielosko, Beata

Subjects
ALGORITHMS, RULES, WEIGHTS & measures, PRECISION (Information retrieval), MATHEMATICS
Abstract

This paper is devoted to the study of approximate algorithms for minimization of the total weight of attributes occurring in partial association rules. We consider mainly greedy algorithms with weights for construction of rules. The paper contains bounds on precision of these algorithms and bounds on the minimal weight of partial association rules based on an information obtained during the greedy algorithm run. [ABSTRACT FROM AUTHOR]

Published
2009
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15. Greedy Algorithm for Construction of Partial Association Rules.

Author

Moshkov, Mikhail Ju., Piliszczuk, Marcin, and Zielosko, Beata

Subjects
INFERENCE (Logic), ALGORITHMS, POLYNOMIALS, SET theory, MATHEMATICAL variables, PROBLEM solving
Abstract

Partial association rules can be used for representation of knowledge, for inference in expert systems, for construction of classifiers, and for filling missing values of attributes. This paper is devoted to the study of approximate algorithms for minimization of partial association rule length. It is shown that under some natural assumptions on the class NP, a greedy algorithm is close to the best polynomial approximate algorithms for solving of this NP-hard problem. The paper contains various bounds on precision of the greedy algorithm, bounds on minimal length of rules based on an information obtained during the greedy algorithm work, and results of theoretical and experimental study of association rules for the most part of binary information systems. [ABSTRACT FROM AUTHOR]

Published
2009
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18. A Topological Approximation Space Based on Open Sets of Topology Generated by Coverings

Author

Staruch, Bożena, Staruch, Bogdan, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Polkowski, Lech, editor, Yao, Yiyu, editor, Artiemjew, Piotr, editor, Ciucci, Davide, editor, Liu, Dun, editor, Ślęzak, Dominik, editor, and Zielosko, Beata, editor

Published
2017
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19. Three-Way Decisions with DEA Approach

Author

Liu, Dun, Liang, Decui, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Polkowski, Lech, editor, Yao, Yiyu, editor, Artiemjew, Piotr, editor, Ciucci, Davide, editor, Liu, Dun, editor, Ślęzak, Dominik, editor, and Zielosko, Beata, editor

Published
2017
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20. Resolving the Conflicts Between Cuts in a Decision Tree with Verifying Cuts

Author

Buregwa-Czuma, Sylwia, Bazan, Jan G., Bazan-Socha, Stanislawa, Rzasa, Wojciech, Dydo, Lukasz, Skowron, Andrzej, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Polkowski, Lech, editor, Yao, Yiyu, editor, Artiemjew, Piotr, editor, Ciucci, Davide, editor, Liu, Dun, editor, Ślęzak, Dominik, editor, and Zielosko, Beata, editor

Published
2017
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21. Three-Way Decisions Based on Intuitionistic Fuzzy Sets

Author

Yang, Xiaoping, Tan, Anhui, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Polkowski, Lech, editor, Yao, Yiyu, editor, Artiemjew, Piotr, editor, Ciucci, Davide, editor, Liu, Dun, editor, Ślęzak, Dominik, editor, and Zielosko, Beata, editor

Published
2017
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22. Actionable Strategies in Three-Way Decisions with Rough Sets

Author

Gao, Cong, Yao, Yiyu, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Polkowski, Lech, editor, Yao, Yiyu, editor, Artiemjew, Piotr, editor, Ciucci, Davide, editor, Liu, Dun, editor, Ślęzak, Dominik, editor, and Zielosko, Beata, editor

Published
2017
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23. Two Novel Decomposition Approaches for Knowledge Acquisition Model

Author

Jiao, Na, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Polkowski, Lech, editor, Yao, Yiyu, editor, Artiemjew, Piotr, editor, Ciucci, Davide, editor, Liu, Dun, editor, Ślęzak, Dominik, editor, and Zielosko, Beata, editor

Published
2017
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24. Introducing NRough Framework

Author

Widz, Sebastian, Hutchison, David, Series Editor, Kanade, Takeo, Series Editor, Kittler, Josef, Series Editor, Kleinberg, Jon M., Series Editor, Mattern, Friedemann, Series Editor, Mitchell, John C., Series Editor, Naor, Moni, Series Editor, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Weikum, Gerhard, Series Editor, Polkowski, Lech, editor, Yao, Yiyu, editor, Artiemjew, Piotr, editor, Ciucci, Davide, editor, Liu, Dun, editor, Ślęzak, Dominik, editor, and Zielosko, Beata, editor

Published
2017
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25. Hardware Supported Rule-Based Classification on Big Datasets

Author

Kopczynski, Maciej, Grzes, Tomasz, Stepaniuk, Jaroslaw, Hutchison, David, Series Editor, Kanade, Takeo, Series Editor, Kittler, Josef, Series Editor, Kleinberg, Jon M., Series Editor, Mattern, Friedemann, Series Editor, Mitchell, John C., Series Editor, Naor, Moni, Series Editor, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Weikum, Gerhard, Series Editor, Polkowski, Lech, editor, Yao, Yiyu, editor, Artiemjew, Piotr, editor, Ciucci, Davide, editor, Liu, Dun, editor, Ślęzak, Dominik, editor, and Zielosko, Beata, editor

Published
2017
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26. Certainty-Based Rough Sets

Author

Ciucci, Davide, Forcati, Ivan, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Polkowski, Lech, editor, Yao, Yiyu, editor, Artiemjew, Piotr, editor, Ciucci, Davide, editor, Liu, Dun, editor, Ślęzak, Dominik, editor, and Zielosko, Beata, editor

Published
2017
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27. Scalable Maximal Discernibility Discretization for Big Data

Author

Czolombitko, Michal, Stepaniuk, Jaroslaw, Hutchison, David, Series Editor, Kanade, Takeo, Series Editor, Kittler, Josef, Series Editor, Kleinberg, Jon M., Series Editor, Mattern, Friedemann, Series Editor, Mitchell, John C., Series Editor, Naor, Moni, Series Editor, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Weikum, Gerhard, Series Editor, Polkowski, Lech, editor, Yao, Yiyu, editor, Artiemjew, Piotr, editor, Ciucci, Davide, editor, Liu, Dun, editor, Ślęzak, Dominik, editor, and Zielosko, Beata, editor

Published
2017
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28. New Algebras and Logic from a Category of Rough Sets

Author

More, Anuj Kumar, Banerjee, Mohua, Hutchison, David, Series Editor, Kanade, Takeo, Series Editor, Kittler, Josef, Series Editor, Kleinberg, Jon M., Series Editor, Mattern, Friedemann, Series Editor, Mitchell, John C., Series Editor, Naor, Moni, Series Editor, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Weikum, Gerhard, Series Editor, Polkowski, Lech, editor, Yao, Yiyu, editor, Artiemjew, Piotr, editor, Ciucci, Davide, editor, Liu, Dun, editor, Ślęzak, Dominik, editor, and Zielosko, Beata, editor

Published
2017
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29. Integration of Gene Expression and Ontology for Clustering Functionally Similar Genes

Author

Paul, Sushmita, Hutchison, David, Series Editor, Kanade, Takeo, Series Editor, Kittler, Josef, Series Editor, Kleinberg, Jon M., Series Editor, Mattern, Friedemann, Series Editor, Mitchell, John C., Series Editor, Naor, Moni, Series Editor, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Weikum, Gerhard, Series Editor, Polkowski, Lech, editor, Yao, Yiyu, editor, Artiemjew, Piotr, editor, Ciucci, Davide, editor, Liu, Dun, editor, Ślęzak, Dominik, editor, and Zielosko, Beata, editor

Published
2017
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30. Supercluster in Statics and Dynamics: An Approximate Structure Imitating a Rough Set

Author

Rodin, Ivan, Mirkin, Boris, Hutchison, David, Series Editor, Kanade, Takeo, Series Editor, Kittler, Josef, Series Editor, Kleinberg, Jon M., Series Editor, Mattern, Friedemann, Series Editor, Mitchell, John C., Series Editor, Naor, Moni, Series Editor, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Weikum, Gerhard, Series Editor, Polkowski, Lech, editor, Yao, Yiyu, editor, Artiemjew, Piotr, editor, Ciucci, Davide, editor, Liu, Dun, editor, Ślęzak, Dominik, editor, and Zielosko, Beata, editor

Published
2017
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31. A Measure of Inconsistency for Simple Decision Systems over Ontological Graphs

Author

Pancerz, Krzysztof, Hutchison, David, Series Editor, Kanade, Takeo, Series Editor, Kittler, Josef, Series Editor, Kleinberg, Jon M., Series Editor, Mattern, Friedemann, Series Editor, Mitchell, John C., Series Editor, Naor, Moni, Series Editor, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Weikum, Gerhard, Series Editor, Polkowski, Lech, editor, Yao, Yiyu, editor, Artiemjew, Piotr, editor, Ciucci, Davide, editor, Liu, Dun, editor, Ślęzak, Dominik, editor, and Zielosko, Beata, editor

Published
2017
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32. Temporal Relations of Rough Anti-patterns in Software Development

Author

Puławski, Łukasz, Hutchison, David, Series Editor, Kanade, Takeo, Series Editor, Kittler, Josef, Series Editor, Kleinberg, Jon M., Series Editor, Mattern, Friedemann, Series Editor, Mitchell, John C., Series Editor, Naor, Moni, Series Editor, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Weikum, Gerhard, Series Editor, Polkowski, Lech, editor, Yao, Yiyu, editor, Artiemjew, Piotr, editor, Ciucci, Davide, editor, Liu, Dun, editor, Ślęzak, Dominik, editor, and Zielosko, Beata, editor

Published
2017
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33. Rough Sets in Incomplete Information Systems with Order Relations Under Lipski’s Approach

Author

Nakata, Michinori, Sakai, Hiroshi, Hara, Keitarou, Hutchison, David, Series Editor, Kanade, Takeo, Series Editor, Kittler, Josef, Series Editor, Kleinberg, Jon M., Series Editor, Mattern, Friedemann, Series Editor, Mitchell, John C., Series Editor, Naor, Moni, Series Editor, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Weikum, Gerhard, Series Editor, Polkowski, Lech, editor, Yao, Yiyu, editor, Artiemjew, Piotr, editor, Ciucci, Davide, editor, Liu, Dun, editor, Ślęzak, Dominik, editor, and Zielosko, Beata, editor

Published
2017
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34. Optimal Scale Selections in Consistent Generalized Multi-scale Decision Tables

Author

Xu, You-Hong, Wu, Wei-Zhi, Tan, Anhui, Hutchison, David, Series Editor, Kanade, Takeo, Series Editor, Kittler, Josef, Series Editor, Kleinberg, Jon M., Series Editor, Mattern, Friedemann, Series Editor, Mitchell, John C., Series Editor, Naor, Moni, Series Editor, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Weikum, Gerhard, Series Editor, Polkowski, Lech, editor, Yao, Yiyu, editor, Artiemjew, Piotr, editor, Ciucci, Davide, editor, Liu, Dun, editor, Ślęzak, Dominik, editor, and Zielosko, Beata, editor

Published
2017
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35. Advances in Rough Set Based Hybrid Approaches for Medical Image Analysis

Author

Maji, Pradipta, Hutchison, David, Series Editor, Kanade, Takeo, Series Editor, Kittler, Josef, Series Editor, Kleinberg, Jon M., Series Editor, Mattern, Friedemann, Series Editor, Mitchell, John C., Series Editor, Naor, Moni, Series Editor, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Weikum, Gerhard, Series Editor, Polkowski, Lech, editor, Yao, Yiyu, editor, Artiemjew, Piotr, editor, Ciucci, Davide, editor, Liu, Dun, editor, Ślęzak, Dominik, editor, and Zielosko, Beata, editor

Published
2017
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