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ICT Innovations 2019. Big Data Processing and Mining

Overview of attention for book
ICT Innovations 2019. Big Data Processing and Mining
Springer International Publishing

Table of Contents

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    Book Overview
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    Chapter 1 Automatic Text Generation in Macedonian Using Recurrent Neural Networks
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    Chapter 2 Detection of Toy Soldiers Taken from a Bird’s Perspective Using Convolutional Neural Networks
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    Chapter 3 Prediction of Student Success Through Analysis of Moodle Logs: Case Study
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    Chapter 4 Multidimensional Sensor Data Prediction
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    Chapter 5 Five Years Later: How Effective Is the MAC Randomization in Practice? The No-at-All Attack
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    Chapter 6 Improvement of the Binary Varshamov Bound
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    Chapter 7 Electrical Energy Consumption Prediction Using Machine Learning
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    Chapter 8 Diatom Ecological Modelling with Weighted Pattern Tree Algorithm by Using Polygonal and Gaussian Membership Functions
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    Chapter 9 A Study of Different Models for Subreddit Recommendation Based on User-Community Interaction
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    Chapter 10 Application of Hierarchical Bayesian Model in Ophtalmological Study
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    Chapter 11 Friendship Paradox and Hashtag Embedding in the Instagram Social Network
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    Chapter 12 An In-Depth Analysis of Personality Prediction
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    Chapter 13 Ski Injury Predictions with Explanations
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    Chapter 14 Performance Evaluation of Word and Sentence Embeddings for Finance Headlines Sentiment Analysis
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    Chapter 15 A Hybrid Model for Financial Portfolio Optimization Based on LS-SVM and a Clustering Algorithm
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    Chapter 16 Protein Secondary Structure Graphs as Predictors for Protein Function
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    Chapter 17 Exploring the Attention Mechanism in Deep Models: A Case Study on Sentiment Analysis
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    Chapter 18 Image Augmentation with Neural Style Transfer
Attention for Chapter 16: Protein Secondary Structure Graphs as Predictors for Protein Function
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Chapter title
Protein Secondary Structure Graphs as Predictors for Protein Function
Chapter number 16
Book title
ICT Innovations 2019. Big Data Processing and Mining
Published by
Springer, Cham, October 2019
DOI 10.1007/978-3-030-33110-8_16
Book ISBNs
978-3-03-033109-2, 978-3-03-033110-8
Authors

Frosina Stojanovska, Nevena Ackovska, Stojanovska, Frosina, Ackovska, Nevena

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Mendeley readers

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Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Professor 1 100%
Readers by discipline Count As %
Computer Science 1 100%