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Table of Contents
Intro
Preface
Organization
Contents
Prediction Model for Tax Assessments Using Data Mining and Machine Learning
1 Introduction
2 Literature Review and Related works
3 Methodology
3.1 Model Design and Implementation
3.2 Web Application Design and Implementation
4 Results
4.1 Random Forest Score Classifier
4.2 Confusion Matrix
4.3 ROC Curve
5 Discussion and Conclusion
References
A Review of Evaluation Metrics in Machine Learning Algorithms
1 Introduction
2 Related Work
3 Evaluation Metrics
4 Results and Discussion
5 Conclusion
3 The Proposed Approach
3.1 The Dataset Description
3.2 The STS Model
3.3 The (SAF) Model
3.4 Factors Impacting Student Performance
3.5 Input Layer (SAF) Model
3.6 Hidden Layer (SAF) Model
3.7 Output Layer (SAF) Model
4 Final Decision
5 Optimization Procedure
6 Results
7 Conclusion
References
Data Mining, Natural Language Processing and Sentiment Analysis in Vietnamese Stock Market
1 Introduction
2 Related Work
3 Approach
3.1 General
3.2 Data Crawling
3.3 Labeling System
4 Experiments
4.1 Dataset Number One
4.2 Dataset Number Two
4.3 Comments
5 Conclusions
References
Two Approaches to E-Book Content Classification
1 Introduction
2 An Initial Data and an "Image" Model
3 Classification Based on a Mixed Text-Formula Model
3.1 Data Preparation
3.2 Feature Extraction in a Text-Formula Model
4 Practical Results of Classification
5 Conclusions
References
On the Geometry of the Orbits of Killing Vector Fields
1 Introduction
2 The Geometry of Killing Vector Fields
3 The Classification of Geometry of Orbits
4 On the Compactness of the Orbits
5 Applications in Partial Differential Equations
6 Conclusion
References
The Classification of Vegetations Based on Share Reflectance at Spectral Bands
1 Introduction
2 Materials, Data and Methods
3 Results
3.1 Preparation Data of Share Reflection for Vegetations
3.2 Classification of Vegetations Based on Share Reflectance at Bands
4 Discussion
5 Conclusions
References
The Problem of Information Singularity in the Storage of Digital Data
1 Introduction
2 Overview of Information Singularity Issues
2.1 Storing and Interpreting Streaming Videos
Preface
Organization
Contents
Prediction Model for Tax Assessments Using Data Mining and Machine Learning
1 Introduction
2 Literature Review and Related works
3 Methodology
3.1 Model Design and Implementation
3.2 Web Application Design and Implementation
4 Results
4.1 Random Forest Score Classifier
4.2 Confusion Matrix
4.3 ROC Curve
5 Discussion and Conclusion
References
A Review of Evaluation Metrics in Machine Learning Algorithms
1 Introduction
2 Related Work
3 Evaluation Metrics
4 Results and Discussion
5 Conclusion
3 The Proposed Approach
3.1 The Dataset Description
3.2 The STS Model
3.3 The (SAF) Model
3.4 Factors Impacting Student Performance
3.5 Input Layer (SAF) Model
3.6 Hidden Layer (SAF) Model
3.7 Output Layer (SAF) Model
4 Final Decision
5 Optimization Procedure
6 Results
7 Conclusion
References
Data Mining, Natural Language Processing and Sentiment Analysis in Vietnamese Stock Market
1 Introduction
2 Related Work
3 Approach
3.1 General
3.2 Data Crawling
3.3 Labeling System
4 Experiments
4.1 Dataset Number One
4.2 Dataset Number Two
4.3 Comments
5 Conclusions
References
Two Approaches to E-Book Content Classification
1 Introduction
2 An Initial Data and an "Image" Model
3 Classification Based on a Mixed Text-Formula Model
3.1 Data Preparation
3.2 Feature Extraction in a Text-Formula Model
4 Practical Results of Classification
5 Conclusions
References
On the Geometry of the Orbits of Killing Vector Fields
1 Introduction
2 The Geometry of Killing Vector Fields
3 The Classification of Geometry of Orbits
4 On the Compactness of the Orbits
5 Applications in Partial Differential Equations
6 Conclusion
References
The Classification of Vegetations Based on Share Reflectance at Spectral Bands
1 Introduction
2 Materials, Data and Methods
3 Results
3.1 Preparation Data of Share Reflection for Vegetations
3.2 Classification of Vegetations Based on Share Reflectance at Bands
4 Discussion
5 Conclusions
References
The Problem of Information Singularity in the Storage of Digital Data
1 Introduction
2 Overview of Information Singularity Issues
2.1 Storing and Interpreting Streaming Videos