Intro
Preface
Contents
About the Editors
Artificial Intelligence
Correlation Analysis of Stock Index Data Features Using Sequential Rule Mining Algorithms
1 Introduction
2 Stock Index Data-Collection and Preprocessing
3 Algorithms and Techniques for Analyzing Stock Index Data
4 Performance Matrices, Data Structures, and Tools Used
5 Implementation of AprioriAll Algorithm on Nifty 50 Index Dataset
5.1 Implementation Result-1 (Large Sequences and Maximal Sequences)
5.2 Implementation Result-2 (Calculation of Standard Averages for Performance Scales)

5.3 Implementation Result-3 (Calculation of Support and Confidence)
6 Analysis of the Results Obtained
6.1 Result Analysis-1 (Intra- and Inter-Relations Among Features)
6.2 Result Analysis-2 (Candidate Generation and Memory Consumption)
7 Other Applications of Sequential Mining Algorithms
8 Conclusion and Future Works
References
A CRF-Based POS Tagging Approach for Bishnupriya Manipuri Language
1 Introduction
2 Bishnupriya Manipuri Language
3 Literature Review
4 Methodology
4.1 Tagset Used
4.2 Preprocessing
4.3 Annotation

4.4 Bishnupriya Manipuri Corpus
4.5 Feature Selection
4.6 Proposed Approach
5 Experimental Results
6 Discussion and Challenges
7 Conclusion and Future Works
References
IFS: An Incremental Feature Selection Method to Classify High-Dimensional Data
1 Introduction
2 Motivation and Contributions
3 Related Work
4 IFS: Proposed Incremental Feature Selection Method
4.1 Complexity Analysis of the Proposed IFS
5 Results and Experimental Analysis on IFS
5.1 Dataset Description
6 Conclusion
References

Computer-Aided Identification of Loom Type of Ethnic Textile, the Gamusa, Using Texture Features and Random Forest Classifier
1 Introduction
2 Related Works
3 Methodology
4 Results and Discussion
5 Conclusion
References
Spanning Cactus Existence, Optimization and Extension in Windmill Graphs
1 Introduction
2 Preliminaries
3 Windmill Graph
3.1 Construction of Windmill Graph WG(n,m)
4 SCEP in a Windmill Graph
5 MSCP in a Windmill Graph
6 MSCE in a Windmill Graph
7 Conclusion
References
Effect of Noise in Khasi Speech Recognition System

1 Introduction
2 The Khasi Language
3 Subspace Gaussian Mixture Model
4 Database Development
5 Feature Extraction
6 Experimental Approach
7 Results and Discussion
8 Conclusion
References
Text and Language Independent Classification of Voice Calling Platforms Using Deep Learning
1 Introduction
2 Data Collection
3 Methodology
3.1 Pre-Emphasis
3.2 Removal of Silence Frames
3.3 Audio Spectrogram Generation
3.4 Model Architecture
4 Experiment and Results
4.1 Data Preparation
4.2 Model Training
4.3 Classification by Using Deep Learning Models