Description: Contemporary Issues in Exploratory Data Mining in the Behavioral Sciences, Paperback by McArdle, John J. (EDT); Ritschard, Gilbert (EDT), ISBN 0415817099, ISBN-13 9780415817097, Like New Used, Free shipping in the US Social and behavioral scientists, and mathematicians and statisticians set out the conceptual bases and strategies of the newest techniques in exploratory data mining, including a review of leading techniques and software such as those based on canonical regression models and on pattern searches with recursive partitioning. Among the topics are the potential of model-based recursive partitioning in the social sciences, validating tree descriptions of women's labor participation with deviance-based criteria, the exploratory mining of life event histories, dealing with longitudinal attrition using logistic regression and decision tree analyses, and recursive partitioning to study terminal decline in the Berlin Aging Study. Annotation ©2013 Book News, Inc., Portland, OR ()
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Book Title: Contemporary Issues in Exploratory Data Mining in the Behavioral
Number of Pages: 474 Pages
Publication Name: Contemporary Issues in Exploratory Data Mining in the Behavioral Sciences
Language: English
Publisher: Routledge
Item Height: 0.9 in
Publication Year: 2013
Subject: General, Research, Databases / Data Mining, Statistics, Research & Methodology
Item Weight: 23.2 Oz
Type: Textbook
Subject Area: Mathematics, Computers, Social Science, Psychology
Item Length: 8.9 in
Author: Gilbert Ritschard
Series: Quantitative Methodology Ser.
Item Width: 6.1 in
Format: Trade Paperback
