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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), ISSN 0302-9743, 2018, Volume 10933, pp. 230 - 239
Conference Proceeding
PLoS ONE, ISSN 1932-6203, 10/2019, Volume 14, Issue 10, p. e0223593
Stock price prediction is a popular yet challenging task and deep learning provides the means to conduct the mining for the different patterns that trigger its... 
Stock exchanges | Computer simulation | Heuristic methods | Data mining | Genetic algorithms | Deep learning | Datasets | Computer science | Learning | Neural networks | Machine learning | Data collection | Strategy | Artificial intelligence | Heuristic
Journal Article
Procedia Computer Science, ISSN 1877-0509, 2019, Volume 159, pp. 2172 - 2178
In many knowledge discovery experiments feature selection is obvious initial part. In the paper, some attempt to tree-based generational feature selection... 
irrelevance | generational feature selection | feature ranking | dimensionality reduction | feature selection | relevance
Journal Article
Geoscientific Model Development, ISSN 1991-959X, 03/2016, Volume 9, Issue 3, pp. 1065 - 1072
Climate models are extremely complex pieces of software. They reflect the best knowledge on the physical components of the climate; nevertheless, they contain... 
BORUTA | GEOSCIENCES, MULTIDISCIPLINARY | MICROBIOME | Usage | Climate models | Failure mode and effects analysis | Methods
Journal Article
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), ISSN 0302-9743, 2012, Volume 7377, pp. 236 - 242
Conference Proceeding
Procedia Computer Science, ISSN 1877-0509, 2018, Volume 126, pp. 2065 - 2074
The paper presents an empirical study of the use of fuzzification and relevant feature selection to determination of the importance of particular ranges of... 
MMPI profiles | Fuzzification | Relevant feature selection | Importance of ranges | Random forests
Journal Article
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), ISSN 0302-9743, 2010, Volume 6171, pp. 442 - 449
Conference Proceeding
2011, Lecture Notes in Computer Science, ISBN 3642231837, Volume 6870
Book Chapter
Studies in Computational Intelligence, ISSN 1860-949X, 2015, Volume 584, pp. 11 - 28
Journal Article
Smart Innovation, Systems and Technologies, ISSN 2190-3018, 2016, Volume 57, pp. 63 - 70
Conference Proceeding
2016 International Conference on Information and Digital Technologies (IDT), 07/2016, pp. 215 - 218
In this paper, some preliminary attempt to attribute selection using Split-and-Rank tool were presented. This approach devotes to using three ways of splitting... 
Support vector machines | Computer science | feature ranking | dimensionality reduction | Databases | Prediction algorithms | Classification algorithms | Data mining | Standards | feature selection | relevance and irrelevance | Repositories | Splitting | Conferences | Data sets | Classification | Weight reduction | Electronics
Conference Proceeding
2015 Federated Conference on Computer Science and Information Systems (FedCSIS), 09/2015, pp. 281 - 286
Melanoma is the most deadly form of skin cancer. Early detection and successful treatment of this disease often is possible. The main goal of this paper is to... 
Support vector machines | Pigments | Machine learning algorithms | Skin | Malignant tumors | Lesions | Algorithms | Conferences | Spots | Medical services | Machine learning | Scoring | Diagnosis | Information systems
Conference Proceeding
2012, Lecture Notes in Computer Science, ISBN 9783642252600, Volume 7053
Book Chapter
2011, Lecture Notes in Computer Science, ISBN 9783642244247, Volume 6954
In the paper, we present a novel approach to calculating a new (extra) attribute (feature) using a constructive feature induction mechanism. The problem being... 
Pattern Recognition | Computer Science | Data Mining and Knowledge Discovery | Database Management | Artificial Intelligence (incl. Robotics) | Computation by Abstract Devices | Mathematical Logic and Formal Languages | constructive feature induction mechanism | melanoma | evolutionary strategies | decision trees
Book Chapter
2010, Lecture Notes in Computer Science, ISBN 3642162479, Volume 6401
Our research is devoted to develop a new method of generation of a set of decision rules. This method is compiled using two different mechanisms. The first one... 
Pattern Recognition | Computer Science | Data Mining and Knowledge Discovery | Database Management | Artificial Intelligence (incl. Robotics) | Computation by Abstract Devices | Mathematical Logic and Formal Languages | classification process | constructive induction | hybrid method | belief networks | decision rule
Book Chapter
2011, Lecture Notes in Computer Science, ISBN 3642231837, Volume 6870
Book Chapter
2016 International Conference on Information and Digital Technologies (IDT), 07/2016, pp. 219 - 226
In the paper, we give a review of selected data preprocessing procedures implemented in the current version of the Classification and Prediction Software... 
comparison tables | object selection | Data preprocessing | Semantics | Rough sets | attribute selection | Ontologies | Software systems | Data mining | ontology | data preprocessing | Tasks | Preprocessing | Conferences | Classification | Electronics | Digital | Software | Computer programs
Conference Proceeding
Proceedings of the 2016 Federated Conference on Computer Science and Information Systems, FedCSIS 2016, ISSN 2300-5963, 11/2016, Volume 8, pp. 299 - 302
Conference Proceeding
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