Visual data mining (VDM) is an emerging research area of Data Mining and Visual Analytics
gaining a deep visual understanding of data. A border between patterns can be …

Paper Title (use style: paper title) Page 1 Sperner System Descriptions in ARM Levon
Aslanyan Institute for Informatics and Automation Problems Yerevan, Armenia e-mail: lasl@sci.am …

The contributions presented in this work are two-fold. We first provide a general overview of
explanations and interpretable machine learning, making connections with different fields …

This paper addresses the problem of efficiently reconstructing monotone Boolean functions
via membership queries to a stochastic oracle. An incremental maximum flow algorithm is …

The unique human expertise in imagery analysis should be preserved and shared with other
imagery analysts to improve image analysis and decisionmaking. Such knowledge can …

В настоящее время интенсивно развивается направление Knowledge Discovery in
Databases and Data Mining (KDD&DM), основанное на методах Machine Learning (ML) …

In this thesis we develop an algorithm for inferring Monotone Boolean structure functions. To
infer such a function we first select a Boolean vector for testing. If the vector is functioning …

The reliability of learning methods depends on testing discovered patterns in the data before
they are used for their intended purpose. A novel extension of the round robin testing …

This paper describes a new technique for extracting patterns and relations visually from
multidimensional binary data using monotone Boolean functions. Visual Data Mining (VDM) …

This chapter presents a technology of conflation algorithm development with a wide
applicability domain. The sequence of steps starts from vague but relevant expert (or just …