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ICT Innovations 2019. Big Data Processing and Mining

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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
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