Add to ORKGThis research report contains short overview of most frequently used Machine Learning methods, and introduces our research focus. We show problems in Machine Learning process and discuss some opportunities of data preprocessing. The main part describes our solution for classification and prediction - iBARET (Instance-Based Reasoning Tool). Finally are presented some experiments and future research.Available from STL Prague, CZ / NTK - National Technical LibrarySIGLECZCzech Republi
Abstract: Data Mining (DM) is considered as an interdisciplinary discipline: people try to solve lar...
The thesis develops machine learning algorithms for use in the Industry 4.0 concept. The main focus ...
This paper is an overview of practical machine learning and data mining solutions used in the IST Wo...
This research report contains short overview of most frequently used Machine Learning methods, and i...
My master's thesis on the topic of "Design of exercises for data mining - Classification and predict...
This paper provides an overview of machine learning (ML), its current state of development, and the ...
The presented thesis focuses on instance-based learning (IBL) methods. The groundwork of instance-ba...
Machine learning and data mining keep gaining importance in terms of providing auxiliary methods and...
Abstract: Machine Learning generates programs that make predictions and informed decisions about com...
Abstract: In the context of data mining the feature size is very large and it is believed that it ne...
Machine Learning is a subset of Artificial Intelligence. Machine learning is one of the latest techn...
The task of this master thesis is to describe the overall process of data mining and algorithms used...
Implementation of machine learning systems is currently one of the most sought-after spheres of huma...
The aim of this paper is to present advanced methods for the search for new knowledge contained in B...
Diploma thesis " The real role of knowledge mining " is divided into two major parts, the theoretica...
Abstract: Data Mining (DM) is considered as an interdisciplinary discipline: people try to solve lar...
The thesis develops machine learning algorithms for use in the Industry 4.0 concept. The main focus ...
This paper is an overview of practical machine learning and data mining solutions used in the IST Wo...
This research report contains short overview of most frequently used Machine Learning methods, and i...
My master's thesis on the topic of "Design of exercises for data mining - Classification and predict...
This paper provides an overview of machine learning (ML), its current state of development, and the ...
The presented thesis focuses on instance-based learning (IBL) methods. The groundwork of instance-ba...
Machine learning and data mining keep gaining importance in terms of providing auxiliary methods and...
Abstract: Machine Learning generates programs that make predictions and informed decisions about com...
Abstract: In the context of data mining the feature size is very large and it is believed that it ne...
Machine Learning is a subset of Artificial Intelligence. Machine learning is one of the latest techn...
The task of this master thesis is to describe the overall process of data mining and algorithms used...
Implementation of machine learning systems is currently one of the most sought-after spheres of huma...
The aim of this paper is to present advanced methods for the search for new knowledge contained in B...
Diploma thesis " The real role of knowledge mining " is divided into two major parts, the theoretica...
Abstract: Data Mining (DM) is considered as an interdisciplinary discipline: people try to solve lar...
The thesis develops machine learning algorithms for use in the Industry 4.0 concept. The main focus ...
This paper is an overview of practical machine learning and data mining solutions used in the IST Wo...