Preface Preface This volume contains the papers presented at the International Workshop on Data Mining and Knowledge Engineering held on October 15-16, 2020 in Stavropol and online.
The International Workshop on Data Mining and Knowledge Engineering aims at bringing together scientists with interests in this field to present recent innovations, find topics of common interest and to stimulate further development of new approaches that greatly make e cient the work of a data analyst when performing data analytics, or when employing machine learning algorithms, over Big Data.
Main topics include (but are not limited to): Advanced databases and Web applications Advanced classification, clustering and forecasting AI model training Big data Crowdsourcing Cloud data management Competitive analysis of mining algorithms Data augmentation Data provenance, cleaning, curation Data quality and credibility Data-related usability and HCI Data semantics, integration and metadata Data mining in education Data mining visualization Interactive data mining Internet-of-Things mining Machine learning for databases Semantic web and knowledge management Social network analytics Statistical and scientific data mining
Submission of papers, review and preparation of proceeding was carried out using a conference management system EasyChair. Research papers appearing in this volume were selected after a blind peer-reviewing by at least two reviewers.
The workshop attracted 62 contributions of which 17 papers were accepted for presentation. Additionally, it included 3 invited talks given by Carlos Grilo, Polytechnic of Leiria, Leiria, Portugal, Hong-In Cheng, Kyungsung University, Pusan, South Korea and Basan Elena, South Federal University, Taganrog, Russia.
The workshop, originally planned to be held in Stavropol, Russia, hosted by North-Caucasus Federal University, was finally held in Stavropol and online due to the COVID pandemic hitting all around the world during 2020.
We would like to thank all the authors for their submissions, and our Program Committee members and additional reviewers for their precious work. October 16, 2020 Online Stavropol, Russia Co-chairs of workshop:
Prof. Anna Fensel University of Innsbruck,
Innsbruck, Austria
Prof. Maria Lapina North-Caucasian Federal
University, Russia
Prof. Massimo Mecella Sapienza - Universita` di Roma,
Rome, Italy Program Committee
Massimo Mecella Anna Fensel
Maria Lapina
Ivan Azarov Tatyana Avdienko Maxim Bakaev Elena Basan Ana Madevska Bogdanova Andrej Brodnik Hong-In Cheng Fabrizio D’Amore Lubomir Dimitrov Carlos Grilo Alla Klepikova Evgeny Kostyuchenko Dmitrii Orel Ekaterina Pakulova Denis Parfenov Peter Peer Vyacheslav Petrenko Marco Schaerf Tamanna Siddiqui Fernando da Silva Pavol Tanuska Anastasia Timofeeva Roman Voronkin Sapienza University of Rome, Rome, Italy University of Innsbruck, Insbruck, Austria North-Caucasus Federal University, Stavropol, Russia North-Caucasus Federal University, Stavropol, Russia Novosibirsk State Technical University, Novosibirsk, Russia Novosibirsk State Technical University, Novosibirsk, Russia Southern Federal University, Taganrog, Russia Ss. Cyril and Methodius University, Skopje, Macedonia University of Ljubljana and University of Primorska, Ljubljana, Slovenia Kyungsung University, Pusan, South Korea Sapienza University of Rome, Rome, Italy Technical University of Sofia, Sofia, Bulgaria Sapienza University of Rome, Rome, Italy Belgorod State National Research University, Belgorod, Russia Tomsk State University of Control Systems and Radioelectronics, Tomsk, Russia North-Caucasus Federal University, Stavropol, Russia Southern Federal University, Rostov-on-Don, Russia Orenburg State University, Orenburg, Russia University of Ljubljana, Ljubljana, Slovenia North-Caucasus Federal University, Stavropol, Russia Sapienza University of Rome, Rome, Italy Aligarh Muslim University, Aligarh (UP) India Polytechnic of Leiria, Leiria, Portugal Slovak University of Technology, Slovakia Novosibirsk State Technical University, Novosibirsk, Russia
North-Caucasus Federal University, Stavropol, Russia Modeling of the Patients Cognitive Status Based on Fuzzy Clustering of Psychometric and Neurobiological Data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20-29 Tatiana Avdeenko, Ekaterina Kirianova, Olga Razumnikova, Irina Tarasova and Olga Trubnikova Classical and Quantum Improvements of Generic Decision Tree Constructing Algorithm for Classification Problem . . . . . . . . . . . . . . . . . . . . . . . . 83-93
Kamil Khadiev, Ilnaz Mannapov and Liliya Safina Development of Algorithmic Solutions for Solving the Problem of Identifying Network Attacks Based on Adaptive Neuro-fuzzy Networks ANFIS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 94-102
Denis Parfenov, Lubov Zabrodina, Irina Bolodurina and Anton Parfenov