Data Analytics and Management in Data Intensive Domains: 21st International Conference, DAMDID/RCDL 2019, Kazan, Russia, October 15–18, 2019, Revised Selected Papers

✍ Scribed by Alexander Elizarov, Boris Novikov, Sergey Stupnikov

• Publisher: Springer International Publishing;Springer
• Year: 2020
• Tongue: English
• Leaves: 251
• Series: Communications in Computer and Information Science 1223
• Edition: 1st ed.
• Category: Library

✦ Synopsis

This book constitutes the post-conference proceedings of the 21st International Conference on Data Analytics and Management in Data Intensive Domains, DAMDID/RCDL 2019, held in Kazan, Russia, in October 2019.

The 11 revised full papers presented together with four invited papers were carefully reviewed and selected from 52 submissions. The papers are organized in the following topical sections: advanced data analysis methods; data infrastructures and integrated information systems; models, ontologies and applications; data analysis in astronomy; information extraction from text; distributed computing; data science for education.

✦ Table of Contents

Front Matter ....Pages i-xvi
Front Matter ....Pages 1-1
Three Simple Approaches to Combining Neural Networks with Algorithms (Anton Osokin)....Pages 3-12
Methodology for Automated Identifying Food Export Potential (Dmitry Devyatkin, Yulia Otmakhova)....Pages 13-28
Front Matter ....Pages 29-29
Integration of the JINR Hybrid Computing Resources with the DIRAC Interware for Data Intensive Applications (Vladimir Korenkov, Igor Pelevanyuk, Andrei Tsaregorodtsev)....Pages 31-46
On Information Search Measures and Metrics Within Integration of Information Systems on Inorganic Substances Properties (Victor A. Dudarev, Nadezhda N. Kiselyova, Igor O. Temkin)....Pages 47-58
Front Matter ....Pages 59-59
Models Are Functioning in Scenarios (Bernhard Thalheim)....Pages 61-81
Applied Ontologies for Managing Graphic Resources in Quantitative Spectroscopy (Nikolai Lavrentev, Alexei Privezentsev, Alexander Fazliev)....Pages 82-93
Front Matter ....Pages 95-95
Realization of Different Techniques for Anomaly Detection in Astronomical Databases (Konstantin Malanchev, Vladimir Korolev, Matwey Kornilov, Emille E. O. Ishida, Anastasia Malancheva, Florian Mondon et al.)....Pages 97-107
Modern Astronomical Surveys for Parameterization of Stars and Interstellar Medium (Oleg Malkov, Sergey Karpov, Dana Kovaleva, Jayant Murthy, Sergey Sichevsky, Nikolay Skvortsov et al.)....Pages 108-123
Searching for Optical Counterparts of LIGO/Virgo Events in O2 Run (Elena Mazaeva, Alexei Pozanenko, Alina Volnova, Pavel Minaev, Sergey Belkin, Raguli Inasaridze et al.)....Pages 124-143
Front Matter ....Pages 145-145
Google Books Ngram: Problems of Representativeness and Data Reliability (Valery D. Solovyev, Vladimir V. Bochkarev, Svetlana S. Akhtyamova)....Pages 147-162
Method for Expert Search Using Topical Similarity of Documents (Denis Zubarev, Dmitry Devyatkin, Ilya Sochenkov, Ilya Tikhomirov, Oleg Grigoriev)....Pages 163-180
Depression Detection from Social Media Profiles (Maxim Stankevich, Ivan Smirnov, Natalia Kiselnikova, Anastasia Ushakova)....Pages 181-194
Tatar WordNet: The Sources and the Component Parts (Alexander Kirillovich, Alfiya Galieva, Olga Nevzorova, Marat Shaekhov, Natalia Loukachevitch, Dmitry Ilvovsky)....Pages 195-208
Front Matter ....Pages 209-209
An Approach to Fuzzy Clustering of Big Data Inside a Parallel Relational DBMS (Mikhail Zymbler, Yana Kraeva, Alexander Grents, Anastasiya Perkova, Sachin Kumar)....Pages 211-223
Front Matter ....Pages 225-225
Issues and Lessons Learned in the Development of Academic Study Programs in Data Science (Ivan Luković)....Pages 227-245
Back Matter ....Pages 247-247

✦ Subjects

Computer Science; Data Mining and Knowledge Discovery; Information Systems Applications (incl.Internet); Software Engineering; Computer Appl. in Social and Behavioral Sciences