Knowledge Discovery in the Social Sciences helps readers find valid, meaningful, and useful information. It is written for researchers and data analysts as well as students who have no prior experience in statistics or computer science. Suitable for a variety of classes—including upper-division courses for undergraduates, introductory courses for graduate students, and courses in data management and advanced statistical methods—the book guides readers in the application of data mining techniques and illustrates the significance of newly discovered knowledge. Readers will learn to: • appreciate the role of data mining in scientific research • develop an understanding of fundamental concepts of data mining and knowledge discovery• use software to carry out data mining tasks• select and assess appropriate models to ensure findings are valid and meaningful• develop basic skills in data preparation, data mining, model selection, and validation• apply concepts with end-of-chapter exercises and review summaries

Knowledge Discovery in the Social Sciences helps readers find valid, meaningful, and useful information. It is written for researchers and data analysts as well as students who have no prior experience in statistics or computer science. Suitable for a variety of classes—including upper-division courses for undergraduates, introductory courses for graduate students, and courses in data management and advanced statistical methods—the book guides readers in the application of data mining techniques and illustrates the significance of newly discovered knowledge. Readers will learn to: • appreciate the role of data mining in scientific research • develop an understanding of fundamental concepts of data mining and knowledge discovery• use software to carry out data mining tasks• select and assess appropriate models to ensure findings are valid and meaningful• develop basic skills in data preparation, data mining, model selection, and validation• apply concepts with end-of-chapter exercises and review summaries

Outdated models of Chinese gender roles, marriage, and family transitions portray these changes as streamlined and unidirectional, from traditional to modern, public to private, collective to individual. Chinese Marriages in Transition documents the complex, nuanced, and multidirectional nature of these cultural transformations. Using complex and large-scale historical national data as well as comprehensive data from multiple countries, Xiaoling Shu and Jingjing Chen demonstrate that, while the second demographic transition is unfolding in many advanced Western societies, it is not necessarily a normative form of societal transition. Working instead from a framework of "new familism," Shu and Chen show that Chinese new familism consists of both old and new values, including the persistence of some traditional beliefs and practices, accompanied by a transition to modern perceptions of gender, and adaption to some modern forms of family formation. This book is freely available in an open access edition thanks to TOME (Toward an Open Monograph Ecosystem)- a collaboration of the Association of American Universities, the Association of University Presses, and the Association of Research Libraries-and the generous support of the University of California, Davis. Learn more at the TOME website, available at: openmonographs.org.Download the open access book here.

Knowledge Discovery in the Social Sciences helps readers find valid, meaningful, and useful information. It is written for researchers and data analysts as well as students who have no prior experience in statistics or computer science. Suitable for a variety of classes—including upper-division courses for undergraduates, introductory courses for graduate students, and courses in data management and advanced statistical methods—the book guides readers in the application of data mining techniques and illustrates the significance of newly discovered knowledge. Readers will learn to: • appreciate the role of data mining in scientific research • develop an understanding of fundamental concepts of data mining and knowledge discovery• use software to carry out data mining tasks• select and assess appropriate models to ensure findings are valid and meaningful• develop basic skills in data preparation, data mining, model selection, and validation• apply concepts with end-of-chapter exercises and review summaries

Knowledge Discovery in the Social Sciences helps readers find valid, meaningful, and useful information. It is written for researchers and data analysts as well as students who have no prior experience in statistics or computer science. Suitable for a variety of classes—including upper-division courses for undergraduates, introductory courses for graduate students, and courses in data management and advanced statistical methods—the book guides readers in the application of data mining techniques and illustrates the significance of newly discovered knowledge. Readers will learn to: • appreciate the role of data mining in scientific research • develop an understanding of fundamental concepts of data mining and knowledge discovery• use software to carry out data mining tasks• select and assess appropriate models to ensure findings are valid and meaningful• develop basic skills in data preparation, data mining, model selection, and validation• apply concepts with end-of-chapter exercises and review summaries

Outdated models of Chinese gender roles, marriage, and family transitions portray these changes as streamlined and unidirectional, from traditional to modern, public to private, collective to individual. Chinese Marriages in Transition documents the complex, nuanced, and multidirectional nature of these cultural transformations. Using complex and large-scale historical national data as well as comprehensive data from multiple countries, Xiaoling Shu and Jingjing Chen demonstrate that, while the second demographic transition is unfolding in many advanced Western societies, it is not necessarily a normative form of societal transition. Working instead from a framework of "new familism," Shu and Chen show that Chinese new familism consists of both old and new values, including the persistence of some traditional beliefs and practices, accompanied by a transition to modern perceptions of gender, and adaption to some modern forms of family formation. This book is freely available in an open access edition thanks to TOME (Toward an Open Monograph Ecosystem)- a collaboration of the Association of American Universities, the Association of University Presses, and the Association of Research Libraries-and the generous support of the University of California, Davis. Learn more at the TOME website, available at: openmonographs.org.Download the open access book here.