The paper presents the proposed research methodology, dedicated to the application of
greedy heuristics as a way of gathering information about available features. Discovered …

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 …

The paper presents research on unsupervised and supervised discretisation of input data
used in execution of stylometric tasks of authorship attribution. Basing on numeric …

In accordance with the recent version of ISO 376: 2011, the classification of the force
transducers is based on the relative errors calculated from the calibration results. This …

Data mining is a process that combines statistics, artificial intelligence, mathematics and
machine learning to extract data on a large scale in the database. Data mining is always …

Knowledge Discovery and Data Mining (KDD) is an interdisciplinary area focusing upon
methodologies for extracting useful and hidden knowledge from data. KDD is the process of …

This paper focuses on finding minimal complexities of decision trees representing rules
defined for features and functionalities of online learning community. Because …

Анотація У статті удосконалено методичне забезпечення діагностики
неплатоспроможності підприємств на основі моделювання сценаріїв розвитку …

Such an approach to the diagnosis of insolvency of metallurgical enterprises, built on the
basis of a comprehensive study of internal factors of financial activity of enterprises and …

This paper shows the reduced rule can be nearly efficient to without pruned decision tree
rules for checking the genuinity of banknotes (currency). Pruning is required to minimize the …