Preface

Chapters in this book

1. Frontmatter I
2. Preface V
3. Contents VII
4. Methods and instrumentation
5. 1 Identifying and estimating outliers in time series with nonstationary mean through multiobjective optimization method 1
6. 2 Using the intentionally linked entities (ILE) database system to create hypergraph databases with fast and reliable relationship linking, with example applications 21
7. 3 Rapid and automated determination of cluster numbers for high-dimensional big data: a comprehensive update 37
8. 4 Canonical correlation analysis and exploratory factor analysis of the four major centrality metrics 49
9. 5 Navigating the landscape of automated data preprocessing: an in-depth review of automated machine learning platforms 71
10. 6 Generating random XML 83
11. Applications and case studies
12. 7 Exploring autism risk: a deep dive into graph neural networks and gene interaction data 105
13. 8 Leveraging ChatGPT and table arrangement techniques in advanced newspaper content analysis for stock insights 121
14. 9 An experimental study on road surface classification 145
15. 10 RNN models for evaluating financial indices: examining volatility and demand-supply shifts in financial markets during COVID-19 165
16. 11 Topological methods for vibration feature extraction 185
17. 12 Dyna-SPECTS: DYNAmic enSemble of Price Elasticity Computation models using Thompson Sampling in e-commerce 215
18. 13 Creating a metadata schema for reservoirs of data: a systems engineering approach 251
19. 14 Implementation and evaluation of an eXplainable artificial intelligence to explain the evaluation of an assessment analytics algorithm for freetext exams in psychology courses in higher education to attest QBLM-based competencies 271
20. 15 Toward a skill-centered qualification ontology supporting data mining of human resources in knowledge-based enterprise process representations 307
21. Index 333