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"Machine generated contents note: pt. I Methodological Aspects1.Exploratory Data Mining Using Decision Trees in the Behavioral Sciences /​ John J. McArdle2.CHAID and Earlier Supervised Tree Methods /​ Gilbert Ritschard3.The Potential of Model-based Recursive Partitioning in the Social Sciences: Revisiting Ockham's Razor /​ Carolin Strobl4.Exploratory Data Mining with Structural Equation Model Trees /​ Ulman Lindenberger5.Validating Tree Descriptions of Women's Labor Participation with Deviance-based Criteria /​ Pau Origoni6.Exploratory Data Mining Algorithms for Conducting Searches in Structural Equation Modeling: A Comparison of Some Fit Criteria /​ Walter Leite7.A Simulation Study of the Ability of Growth Mixture Models to Uncover Growth Heterogeneity /​ Lawrence L. Lo8.Mining for Association Between Life Course Domains /​ Cees H. Elzinga9.Exploratory Mining of Life Event Histories /​ Matthias Studerpt. II ApplicationsContents note continued:10.Clinical versus Statistical Prediction of Zygosity in Adult Twin Pairs: An Application of Classification Trees /​ Carol A. Prescott11.Dealing with Longitudinal Attrition Using Logistic Regression and Decision Tree Analyses /​ John J. Mcardle12.Adaptive Testing of the Number Series Test Using Standard Approaches and a New Decision Tree Analysis Approach /​ John J. Mcardle13.Using Exploratory Data Mining to Identify Academic Risk among College Student-Athletes in the United States /​ Thomas S. Paskus14.Understanding Global Perceptions of Stress in Adulthood through Tree-Based Exploratory Data Mining /​ Lindsay Pitzer15.Recursive Partitioning to Study Terminal Decline in the Berlin Aging Study /​ Paolo Ghisletta16.Predicting Mortality from Demographics and Specific Cognitive Abilities in the Hawaii Family Study of Cognition /​ John J. McardleContents note continued:17.Exploratory Analysis of Effects of Prenatal Risk Factors on Intelligence in Children of Mothers with Phenylketonuria /​ Kevin J. Grimm."

"This book points to how we promote Indigenous science education to improve upon African science and technology development in general.The book also notes a long-standing push to re-examine local cultural resource knowings in order to appreciate and understand the nature, content and context of Indigenous knowledge science as a starting foundation for promoting African science and technology studies in general."

"Data mining provides a set of new techniques to integrate, synthesize, and analyze tdata, uncovering the hidden patterns that exist within. Traditionally, techniques such as kernel learning methods, pattern recognition, and data mining, have been the domain of researchers in areas such as artificial intelligence, but leveraging these tools, techniques, and concepts against your data asset to identify problems early, understand interactions that exist and highlight previously unrealized relationships through the combination of these different disciplines can provide significant value for the investigator and her organization."