ICT Innovations 2019. Big Data Processing and Mining

11th International Conference, ICT Innovations 2019, Ohrid, North Macedonia, October 17–19, 2019, Proceedings

AvSonja Gievska,Gjorgji Madjarov

Häftad, Engelska, 2019

Del 1110 i serien Communications in Computer and Information Science

566 kr

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Beskrivning

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.

Produktinformation

Utgivningsdatum:2019-10-15
Mått:155 x 235 x 14 mm
Vikt:382 g
Format:Häftad
Språk:Engelska
Serie:Communications in Computer and Information Science
Antal sidor:225
Förlag:Springer Nature Switzerland AG
ISBN:9783030331092

Utforska kategorier

Systemvetenskap och AI inom Data och IT
Databaser inom Data och IT
Artificiell intelligens inom Data och IT

Innehållsförteckning

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 Diﬀerent 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.