Data Analytics and Management in Data Intensive Domains

✍ Scribed by Leonid Kalinichenko, Yannis Manolopoulos, Oleg Malkov, Nikolay Skvortsov, Sergey Stupnikov, Vladimir Sukhomlin

• Publisher: Springer International Publishing
• Year: 2018
• Tongue: English
• Leaves: 285
• Series: Communications in Computer and Information Science 822
• Edition: 1st ed.
• Category: Library

✦ Synopsis

This book constitutes the refereed proceedings of the 19th International Conference on Data Analytics and Management in Data Intensive Domains, DAMDID/RCDL 2017, held in Moscow, Russia, in October 2017.

The 16 revised full papers presented together with three invited papers were carefully reviewed and selected from 75 submissions. The papers are organized in the following topical sections: data analytics; next generation genomic sequencing: challenges and solutions; novel approaches to analyzing and classifying of various astronomical entities and events; ontology population in data intensive domains; heterogeneous data integration issues; data curation and data provenance support; and temporal summaries generation.

✦ Table of Contents

Front Matter ....Pages I-XV
Front Matter ....Pages 1-1
Deep Model Guided Data Analysis (Yannic Ole Kropp, Bernhard Thalheim)....Pages 3-18
Data Mining and Analytics for Exploring Bulgarian Diabetic Register (Svetla Boytcheva, Galia Angelova, Zhivko Angelov, Dimitar Tcharaktchiev)....Pages 19-33
Front Matter ....Pages 35-35
An Introduction to the Computational Challenges in Next Generation Sequencing (Zoltan Szallasi)....Pages 37-45
Overview of GeCo: A Project for Exploring and Integrating Signals from the Genome (Stefano Ceri, Anna Bernasconi, Arif Canakoglu, Andrea Gulino, Abdulrahman Kaitoua, Marco Masseroli et al.)....Pages 46-57
Front Matter ....Pages 59-59
Data Deluge in Astrophysics: Photometric Redshifts as a Template Use Case (Massimo Brescia, Stefano Cavuoti, Valeria Amaro, Giuseppe Riccio, Giuseppe Angora, Civita Vellucci et al.)....Pages 61-72
Fractal Paradigm and IT-Technologies for Processing, Analyzing and Classifying Large Flows of Astronomical Data (Alexei V. Myshev, Andrei V. Dunin)....Pages 73-85
Neural Gas Based Classification of Globular Clusters (Giuseppe Angora, Massimo Brescia, Stefano Cavuoti, Giuseppe Riccio, Maurizio Paolillo, Thomas H. Puzia)....Pages 86-101
Matching and Verification of Multiple Stellar Systems in the Identification List of Binaries (Nikolay A. Skvortsov, Leonid A. Kalinichenko, Alexey V. Karchevsky, Dana A. Kovaleva, Oleg Yu. Malkov)....Pages 102-112
Aggregation of Knowledge on Star Cluster Structure and Kinematics in Data Intensive Astronomy (Sergei V. Vereshchagin, Ekaterina S. Postnikova)....Pages 113-127
Search for Short Transient Gamma-Ray Events in SPI Experiment Onboard INTEGRAL: The Algorithm and Results (Pavel Minaev, Alexei Pozanenko)....Pages 128-138
Front Matter ....Pages 139-139
Development of Ontologies of Scientific Subject Domains Using Ontology Design Patterns (Yury Zagorulko, Olesya Borovikova, Galina Zagorulko)....Pages 141-156
PROPheT – Ontology Population and Semantic Enrichment from Linked Data Sources (Marina Riga, Panagiotis Mitzias, Efstratios Kontopoulos, Ioannis Kompatsiaris)....Pages 157-168
Ontological Description of Applied Tasks and Related Meteorological and Climate Data Collections (Andrey Bart, Vladislava Churuksaeva, Alexander Fazliev, Evgeniy Gordov, Igor Okladnikov, Alexey Privezentsev et al.)....Pages 169-182
Front Matter ....Pages 183-183
Integration of Data on Substance Properties Using Big Data Technologies and Domain-Specific Ontologies (Adilbek Erkimbaev, Vladimir Zitserman, Georgii Kobzev, Andrey Kosinov)....Pages 185-197
Rule-Based Specification and Implementation of Multimodel Data Integration (Sergey Stupnikov)....Pages 198-212
Approach to Forecasting the Development of Situations Based on Event Detection in Heterogeneous Data Streams (Ark Andreev, Dmitry Berezkin, Ilya Kozlov)....Pages 213-229
Integrating DBMS and Parallel Data Mining Algorithms for Modern Many-Core Processors (Timofey Rechkalov, Mikhail Zymbler)....Pages 230-245
Front Matter ....Pages 247-247
Data Curation Policies and Data Provenance in EUDAT Collaborative Data Infrastructure (Vasily Bunakov, Alexander Atamas, Alexia de Casanove, Pascal Dugénie, Rene van Horik, Simon Lambert et al.)....Pages 249-263
Front Matter ....Pages 265-265
News Timeline Generation: Accounting for Structural Aspects and Temporal Nature of News Stream (Mikhail Tikhomirov, Boris Dobrov)....Pages 267-280
Back Matter ....Pages 281-281

✦ Subjects

Computer Science; Data Mining and Knowledge Discovery; Artificial Intelligence (incl. Robotics); Database Management; Mathematical Logic and Formal Languages; Document Preparation and Text Processing