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Contemporary Issues in Exploratory Data Mining in the Behavioral Sciences, Pa...

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, Brand New, 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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Contemporary Issues in Exploratory Data Mining in the Behavioral Sciences, Pa...

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Book Title: Contemporary Issues in Exploratory Data Mining in the Behavioral

Number of Pages: 474 Pages

Language: English

Publication Name: Contemporary Issues in Exploratory Data Mining in the Behavioral Sciences

Publisher: Routledge

Subject: General, Research, Databases / Data Mining, Statistics, Research & Methodology

Publication Year: 2013

Item Height: 0.9 in

Type: Textbook

Item Weight: 23.2 Oz

Author: Gilbert Ritschard

Item Length: 8.9 in

Subject Area: Mathematics, Computers, Social Science, Psychology

Item Width: 6.1 in

Series: Quantitative Methodology Ser.

Format: Trade Paperback

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