Hasil Pencarian  ::  Simpan CSV :: Kembali

Abstrak :
Machine generated contents note: pt. I Methodological Aspects
1.Exploratory Data Mining Using Decision Trees in the Behavioral Sciences /​ John J. McArdle
2.CHAID and Earlier Supervised Tree Methods /​ Gilbert Ritschard
3.The Potential of Model-based Recursive Partitioning in the Social Sciences: Revisiting Ockham's Razor /​ Carolin Strobl
4.Exploratory Data Mining with Structural Equation Model Trees /​ Ulman Lindenberger
5.Validating Tree Descriptions of Women's Labor Participation with Deviance-based Criteria /​ Pau Origoni
6.Exploratory Data Mining Algorithms for Conducting Searches in Structural Equation Modeling: A Comparison of Some Fit Criteria /​ Walter Leite
7.A Simulation Study of the Ability of Growth Mixture Models to Uncover Growth Heterogeneity /​ Lawrence L. Lo
8.Mining for Association Between Life Course Domains /​ Cees H. Elzinga
9.Exploratory Mining of Life Event Histories /​ Matthias Studer pt. II Applications Contents note continued:
10.Clinical versus Statistical Prediction of Zygosity in Adult Twin Pairs: An Application of Classification Trees /​ Carol A. Prescott
11.Dealing with Longitudinal Attrition Using Logistic Regression and Decision Tree Analyses /​ John J. Mcardle
12.Adaptive Testing of the Number Series Test Using Standard Approaches and a New Decision Tree Analysis Approach /​ John J. Mcardle
13.Using Exploratory Data Mining to Identify Academic Risk among College Student-Athletes in the United States /​ Thomas S. Paskus
14.Understanding Global Perceptions of Stress in Adulthood through Tree-Based Exploratory Data Mining /​ Lindsay Pitzer
15.Recursive Partitioning to Study Terminal Decline in the Berlin Aging Study /​ Paolo Ghisletta
16.Predicting Mortality from Demographics and Specific Cognitive Abilities in the Hawaii Family Study of Cognition /​ John J. Mcardle Contents note continued:
17.Exploratory Analysis of Effects of Prenatal Risk Factors on Intelligence in Children of Mothers with Phenylketonuria /​ Kevin J. Grimm.

Abstrak :
The volume is organized in three parts. Part I includes four chapters concerned with various aspects of data cube and ontology-based representations. Part II is composed of four chapters concerned with efficient pattern mining issues, while in part III the last four chapters address data preprocessing and Information retrieval.