Intro
Preface
Conference Organization
Contents
Data Mining and Machine Learning Methods
CNN Based Analysis of the Luria's Alternating Series Test for Parkinson's Disease Diagnostics
1 Introduction
2 Background
2.1 Luria's Alternating Series Tests
3 Problem Statement
4 Experimental Setting
4.1 Tested Subjects
4.2 Data Acquisition
5 Proposed Workflow and Methods
5.1 Enhancement and Augmentation
5.2 Workflow of CNN Training Testing and Validation
6 Main Results
7 Discussion
8 Conclusions
References
Examination of Water Temperature Accuracy Improvement Method for Forecast
1 Introduction
2 Background
2.1 Importance of Water Temperature
2.2 Proposed System
2.3 Water Temperature Observation Device
2.4 Seawater Temperature Announcement System
2.5 Purpose
3 Seawater Temperature Prediction
3.1 Issues
3.2 Detection and Removement of Outliers
3.3 Improvement of Interpolation Accuracy
4 Evaluation of Proposed Method 1
4.1 Evaluation Method
5 Future Works
5.1 Outlier Detection and Removement Method
5.2 Improvement of Interpolation Accuracy
References
Assembly Process Modeling Through Long Short-Term Memory
1 Introduction
2 Related Work
3 Next Assembly Step Prediction Through LSTM
4 Experimental Results
5 Conclusions and Further Work
References
CampusMaps: Voice Assisted Navigation Using Alexa Skills
1 Introduction
2 Background and Terminology
2.1 Voice Assistants
2.2 Navigation Systems
2.3 Terminology
3 Proposed System: CampusMaps
3.1 Architecture
3.2 Modelling Maps
3.3 Routing
3.4 Alexa Skill Development
4 Advantages and Challenges
4.1 Advantages
4.2 Challenges
5 Results
5.1 Alpha Tests
5.2 Beta Tests
6 Conclusion and Future Scope
References.

Advanced Data Mining Techniques and Applications
Solving Reduction Problems in Cover Lattice Based Decision Tables
1 Introduction
2 Covering Based Decision Tables
2.1 Covering Based Rough Sets and Covering Decision Systems
2.2 Cover Lattice Based Decision Table
2.3 An Example: Cover Lattice Based Decision Tables in Transaction Databases
3 The Reduction of the Condition Lattice and the Fitting of the Decision Lattice
3.1 Reduction in Cover Lattice Based Decision Tables
3.2 Decision Fitting in the Cover Lattice Based Decision Table
3.3 A Typical Application of Cover Lattice Based Rough Set
4 Related Work
5 Conclusions and Future Work
References
Forecasting System for Solar-Power Generation
1 Introduction
2 Literature Review
2.1 Solar-Power Generation and Prediction
2.2 Machine Learning Algorithms
3 Proposed Prediction Models
4 Experimental Results
4.1 Data Usage
4.2 Solar Radiation Prediction
5 Conclusions
References
A Recommender System for Insurance Packages Based on Item-Attribute-Value Prediction
1 Introduction
2 Preparation Steps
2.1 Background Knowledge
2.2 Data Preparation
2.3 A Review of Techniques
3 INSUREX Approach
3.1 Overall Flow
3.2 Item-Attribute-Value Prediction
3.3 Recommendation Model
3.4 Evaluation Method
4 Result and Evaluation
4.1 Analytical Results
4.2 Proof-of-Concept (POC) Application
4.3 Discussion
5 Conclusion
References
Application of Recommendation Systems Based on Deep Learning
1 Introduction
2 Deep Learning
2.1 Autoencoder
2.2 Restricted Boltzmann Machine
2.3 Deep Belief Network
2.4 Convolutional Neural Network
2.5 Recurrent Neural Network
3 Application of Deep Learning in Content-Based Recommendation System
3.1 Method Based on Multilayer Perceptron.

3.2 Method Based on Convolutional Neural Network
3.3 Methods Based on Other Deep Learning Models
4 Application of Deep Learning in Collaborative Filtering Recommendation System
4.1 Collaborative Filtering Based on Restricted Boltzmann Machine
4.2 Collaborative Filtering Based on Autoencoder
4.3 Collaborative Filtering Based on Convolutional Neural Network
4.4 Collaborative Filtering Based on Recurrent Neural Network
4.5 Collaborative Filtering Based on Other Deep Learning Models
5 Application of Deep Learning in Hybrid Recommendation System
5.1 Hybrid Recommendation Method Based on Autoencoder
5.2 Hybrid Recommendation Method Based on Other Deep Learning Models
6 Conclusion
References
Data Reduction with Distance Correlation
1 Introduction
2 Related Work
3 Methodology
4 Results and Analysis
4.1 Analysis
5 Conclusion
References
Intelligent and Contextual Systems
A Subtype Classification of Hematopoietic Cancer Using Machine Learning Approach
1 Introduction
2 Methodology
2.1 Dataset
2.2 Principal Component Analysis for Dimension Reduction
2.3 Synthetic Minority Oversampling Technique
2.4 Classification Algorithms
3 Experiment and Result
4 Conclusion
References
Design of Text and Voice Machine Translation Tool for Presentations
1 Introduction
2 Background and Related Work
2.1 Sequence to Sequence Model
2.2 Speech Recognition
2.3 Machine Translate
2.4 Text to Speech
3 System Description
3.1 Speech Recognition
3.2 Machine Translation
3.3 Text to Speech
4 Experiments and Results
4.1 Vietnamese-English Translation
4.2 English-Vietnamese Translation
5 Conclusion
References
Hybrid Approach for the Semantic Analysis of Texts in the Kazakh Language
1 Introduction
2 Related Works.

3 A Semantic Analysis Based an Algorithm for Extracting Annotation and Keywords
4 Application of Approaches and Experimental Results
5 Conclusion and Future Work
References
Natural Language Processing
Short Text Clustering Using Generalized Dirichlet Multinomial Mixture Model
1 Introduction
2 Background
2.1 Latent Dirichlet Allocation
2.2 Gibbs Sampling for Dirichlet Multinomial Model
3 Proposed Model
3.1 Generalized Dirichlet Multinomial Mixture Model
3.2 Collapsed Gibbs Sampling for Generalized Dirichlet Multinomial Mixture Model
4 Experimental Results
4.1 Short-Text Datasets and Preprocessing
4.2 Evaluation Metrics Used
4.3 Comparison of Gibbs Sampling Algorithms
4.4 Influence of K
4.5 Influence of the Number of Iterations
4.6 Performance Given the Parameter
5 Conclusion
References
Comparative Study of Machine Learning Algorithms for Performant Text Analysis in a Real World System
1 Introduction
1.1 Motivation
2 Problem Statement
3 Related Work
4 Data Processing
4.1 Data Collection
4.2 Data Preprocessing
4.3 Word Cloud
4.4 Keyword Extraction
4.5 Data Mapping and Frequency
5 Two-Class Neural Network
5.1 Training the Two-Class Neural Network
6 Two-Class Averaged Perceptron
6.1 Training of Two-Class Averaged Perceptron
7 Two-Class Boosted Decision Tree
7.1 Training the Two-Class Boosted Decision Tree
8 Experimental and Statistical Results
8.1 Web Service Deployment and Prediction
9 Conclusion and Future Work
References
Contour: Penalty and Spotlight Mask for Abstractive Summarization
1 Introduction
2 Related Work
3 Contour: Penalty and Spotlight Mask
3.1 Penalty
3.2 Spotlight
3.3 Contour
4 Experiments and Results
4.1 Datasets
4.2 Implementation Details
4.3 Evaluate Metrics.

4.4 Comparison Basis
4.5 Result
5 Conclusion
References
Heterogeneous Information Access System with a Natural Language Interface in the Context of Organization of Events
1 Introduction
2 Related Work
3 Architecture
4 Evaluation
4.1 Functional Test
4.2 Performance Analysis
4.3 Tests Performed and Results Obtained
5 Conclusions
References
Network Systems and Applications
Single Failure Recovery in Distributed Social Network
1 Introduction
2 Related Work
3 Problem Statement
4 Proposed Methodology
4.1 Framework
4.2 Approach for Simulation
5 Experimental Study
5.1 System Specification
5.2 Result
6 Conclusion
References
Improving Reading Accuracy in Personal Information Distribution Systems Using Smartwatches and Wireless Headphones
1 Introduction
2 Research Backgrounds
2.1 Spread of the Internet
2.2 Personalized Information Distribution System PINOT
2.3 Smartphone Penetration
2.4 Smartphone Version PINOT
2.5 Problem of Smartphone Version PINOT
2.6 Widespread Use of Smartwatches
2.7 Smartwatch Cooperation PINOT
2.8 Problem of Smartwatch Cooperation PINOT
3 Proposed System
4 Evaluation and Improvement of the Proposed System
4.1 Experimental Results and Discussion
4.2 Improvement of Misreadings
References
Cyber Security Aspects of Digital Services Using IoT Appliances
1 Introduction
2 Security Threats to Communication Networks
2.1 Botnets and Ransomware
2.2 Threats to Applications of IoT
3 Security Aspects of Customer Premises Network
3.1 Communication Protocols' Aspects
3.2 Modeling of Threats and Incidents
4 Security Testing and Validation
4.1 Testing Environment
4.2 Blockchain Database in a Sample IoT Application
5 Concluding Remarks
References
Computational Imaging and Vision.