Data Analytics and Management in Data Intensive Domains

✍ Scribed by Leonid Kalinichenko and Sergei O. Kuznetsov

• Publisher: Springer
• Year: 2017
• Tongue: English
• Leaves: 286
• Category: Library

✦ Synopsis

This book constitutes the refereed proceedings of the 28th International Conference on Data Analytics and Management in Data Intensive Domains, DAMDID/RCDL 2016, held in Ershovo, Moscow, Russia, in October 2016.

The 16 revised full papers presented together with one invited talk and two keynote papers were carefully reviewed and selected from 57 submissions. The papers are organized in topical sections on semantic modeling in data intensive domains knowledge and learning management text mining data infrastructures in astrophysics data analysis research infrastructures position paper.

✦ Table of Contents

Front Matter....Pages I-XII
Front Matter....Pages 1-1
Conceptualization of Methods and Experiments in Data Intensive Research Domains....Pages 3-17
Semantic Search in a Personal Digital Library....Pages 18-30
Front Matter....Pages 31-31
Digital Ecosystem OntoMath: Mathematical Knowledge Analytics and Management....Pages 33-46
Development of Fuzzy Cognitive Map for Optimizing E-learning Course....Pages 47-56
Front Matter....Pages 57-57
Supporting Biological Pathway Curation Through Text Mining....Pages 59-73
Text Processing Framework for Emergency Event Detection in the Arctic Zone....Pages 74-88
Fact Extraction from Natural Language Texts with Conceptual Modeling....Pages 89-102
Front Matter....Pages 103-103
Hybrid Distributed Computing Service Based on the DIRAC Interware....Pages 105-118
Hierarchical Multiple Stellar Systems....Pages 119-129
Observations of Transient Phenomena in BSA Radio Survey at 110 MHz....Pages 130-141
Front Matter....Pages 143-143
Semantics and Verification of Entity Resolution and Data Fusion Operations via Transformation into a Formal Notation....Pages 145-162
A Study of Several Matrix-Clustering Vertical Partitioning Algorithms in a Disk-Based Environment....Pages 163-177
Clustering of Goods and User Profiles for Personalizing in E-commerce Recommender Systems Based on Real Implicit Data....Pages 178-191
On Data Persistence Models for Mobile Crowdsensing Applications....Pages 192-204
Front Matter....Pages 205-205
The European Strategy in Research Infrastructures and Open Science Cloud....Pages 207-221
Creating Inorganic Chemistry Data Infrastructure for Materials Science Specialists....Pages 222-236
Visual Analytics of Multidimensional Dynamic Data with a Financial Case Study....Pages 237-247
Metadata for Experiments in Nanoscience Foundries....Pages 248-262
Front Matter....Pages 263-263
Metrics and Rankings: Myths and Fallacies....Pages 265-280
Back Matter....Pages 281-281