ICT Innovations 2019. Big Data Processing and Mining

11th International Conference, ICT Innovations 2019, Ohrid, North Macedonia, October 17¿19, 2019, Proceedings
Herausgegeben:Gievska, Sonja; Madjarov, Gjorgji

• Broschiertes Buch

Produktbeschreibung

This book constitutes the refereed proceedings of the 11th International ICT Innovations Conference, ICT Innovations 2019, held in Ohrid, Macedonia, in October 2019.
The 18 full papers presented were carefully reviewed and selected from 75 submissions. They cover the following topics: sensor applications and deployments, embedded and cyber-physical systems, robotics, network architectures, cloud computing, software infrastructure, software creation and management, models of computation, computational complexity and cryptography, design and analysis of algorithms, mathematical optimization, probability and statistics, data management systems, data mining, human computer interaction (HCI), artificial intelligence, machine learning, life and medical sciences, health care information systems, bioinformatics.

Produktdetails

• Communications in Computer and Information Science 1110
• Verlag: Springer / Springer International Publishing / Springer, Berlin
• Artikelnr. des Verlages: 978-3-030-33109-2
• 1st ed. 2019
• Seitenzahl: 248
• Erscheinungstermin: 15. Oktober 2019
• Englisch
• Abmessung: 235mm x 155mm x 14mm
• Gewicht: 385g
• ISBN-13: 9783030331092
• ISBN-10: 3030331091
• Artikelnr.: 57676044

Inhaltsangabe

Automatic Text Generation in Macedonian using Recurrent Neural Networks.- Detection of toy soldiers taken from a bird's perspective using convolutional neural networks.- Multidimensional sensor data prediction.- Improvement of the Binary Varshamov Bound.- Electrical Energy Consumption Prediction using Machine Learning.- Diatom Ecological Modelling with Weighted Pattern Tree Algorithmby Using Polygonal and Gaussian Membership Functions.- A Study of Di erent Models for Subreddit Recommendation Based on User-Community Interaction.- Application of hierarchical Bayesian model in ophtalmological study.- Friendship paradox and hashtag embedding in the Instagram social network.- An In-depth Analysis of Personality Prediction.- Ski injury predictions with explanations.- Performance Evaluation of Word and Sentence Embeddings for Finance Headlines Sentiment Analysis.- A hybrid model for financial portfolio optimization based on LS-SVM and a clustering algorithm.- Protein Secondary Structure Graphs as Predictors for Protein Function.- Exploring the Attention Mechanism in Deep Models: A Case Study on Sentiment Analysis.- Image Augmentation with Neural Style Transfer.