Data Mining and Exploration: From Traditional Statistics to Modern Data Science

ISBN-13: 9780367721466 / Angielski / Twarda / 2022 / 280 str.

USA) Alex Yu CA Chong Ho (Azusa Pacific University

Opis

This book covers both conceptual and procedural aspects of cutting-edge data mining methods, and the path for transitioning from classical statistics and modern data science. Readers will learn how various open source and commercial software modules can be properly applied to different situations.

Spis treści

1. Re-examination of Traditional Statistics  2. Why Data Science?  3. Cutting Edge Data Analytical Tools  4. Exploratory Data Analysis and Data Visualization: Pattern Seeking  5. Generalized Regression: Penalty against Complexity  6. Classification and Model Screening  7. Ensemble Methods: The Wisdom of the Crowd  8. Dimension Reduction: Breaking the Curse of Dimensionality  9. Clustering: Divide and Conquer  10. Neural Networks: Machines Mimic Human Intelligence  11. Text Mining: Structure the Unstructured 

O autorze

Chong Ho Alex Yu has a Ph.D. in Educational Psychology with a focus on Measurement, Statistics, and Methodological Studies, and a Ph.D. in Philosophy with specialization in History and Philosophy of Science (Arizona State University). He joined Azusa Pacific University in 2012 and has served in various positions, including Director of Data Analytics, Professor of Behavioural and Applied Science, Adjunct Faculty of Mathematics, Quantitative Research Consultant, and Committee chair of the Big Data Discovery Summit.