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Full Description
The text comprehensively discusses the representation of visual data and design principles of interactive and dynamic dashboards. It further covers the theoretical concept of inference and machine learning algorithms for making the concepts clear to the reader. The book illustrates important topics such as data testing a parametric hypothesis, data testing a non-parametric hypothesis, exploratory data analysis, outlier detection and interpretation.
This book:
Covers various data analysis tools such as KNIME, RapidMiner, Rstudio, Grafana, and Redash
Discusses the theoretical concept of inference and machine learning algorithms for designing dynamic dashboards
Presents statistical modelling techniques with an emphasis on pattern mining, and pattern relationships
Explains the problem of efficient retrieval of similar time series in large databases to enrich the knowledge of the readers to effectively handle various real-time datasets
Illustrates dimensionality reduction techniques such as principal component analysis, linear discriminant analysis, singular value decomposition, and piecewise vector quantized approximation
It is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communications engineering, computer science and engineering, and information technology.
Contents
1. Bibliometric analysis on Visual Data Analysis and Dynamic Dashboard tools: A literature review. 2. Visual Data Analysis and Inference through Dimensionality Reduction Techniques. 3. Visual Data Analysis of temperature, ground water level, precipitation for Climate-Driven Socio-Economic Prediction. 4. AI-Based Online Interview Bot with an Interactive Dashboard. 5. Visualizing Food Quality and Safety: A Dynamic Dashboard Approach with Near-Infrared Imaging and Machine Learning. 6. Interactive Dashboard and 3D visualization using t-SNE Dimensionality Reduction Technique. 7. Dynamic Dashboard Creation for Sales Trends and Optimize Pricing Strategies. 8. Scaling Up the Business with The Aid of Power Query Tool. 9. Interactive Visualization Techniques for Thermal Imaging Analysis in Ophthalmology: Comparative Insights and Future Directions. 10. Mind Scan: Dynamic Brain Cancer Detection Dashboard with MRI Imaging. 11. Interactive and Dynamic Stock Market Dashboard. 12. Performance Analysis of Hierarchical Clustering and High-Dimensional Clustering Algorithms on Network IDS Benchmark Datasets using Interactive Dynamic Dashboard. 13. Breaking Boundaries: The Next Frontier in Skin Cancer Detection with Multi-Scale Deep Learning and Transfer Learning. 14. Nourish Net: Machine Learning Innovations in Food Recognition and Calorie Monitoring. 15. Comprehensive Study of Coral Reef Assessment and Colour Correction using Deep Learning.
