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Decision making tools are essential for the successful outcome of any organization. Recent advances in predictive analytics have aided in identifying particular points of leverage where critical decisions can be made. Emerging Methods in Predictive Analytics: Risk Management and Decision Making provides an interdisciplinary approach to predictive analytics; bringing together the fields of business, statistics, and information technology for effective decision making. Managers, business professionals, and decision makers in diverse fields will find the applications and cases presented in this text essential in providing new avenues for risk assessment, management, and predicting the future outcomes of their decisions.
Data analysis is an important part of modern business administration, as efficient compilation of information allows managers and business leaders to make the best decisions for the financial solvency of their organizations. Understanding the use of analytics, reporting, and data mining in everyday business environments is imperative to the success of modern businesses. Business Intelligence: Concepts, Methodologies, Tools, and Applications presents a comprehensive examination of business data analytics along with case studies and practical applications for businesses in a variety of fields and corporate arenas. Focusing on topics and issues such as critical success factors, technology adaptation, agile development approaches, fuzzy logic tools, and best practices in business process management, this multivolume reference is of particular use to business analysts, investors, corporate managers, and entrepreneurs in a variety of prominent industries.
She served him meticulously, tolerated him, loved him, and willingly became his little maid for ten years. It was because she regarded him as her most important family member. As for him, bullying her, enslaving her, taking the opportunity to hurt her, all because ... He wanted her to become his wife ... What kind of secret was hidden beneath the sweet and blissful cloak of happiness? By the time he realized that first love was actually love, would he be able to start all over again?
In this learned, yet readable, book, Joseph McDermott introduces the history of the book in China in the late imperial period from 1000 to 1800. He assumes little knowledge of Chinese history or culture and compares the Chinese experience with books with that of other civilizations, particularly the European. Yet he deals with a wide range of issues in the history of the book in China and presents novel analyses of the changes in Chinese woodblock bookmaking over these centuries. He presents a new view of when the printed book replaced the manuscript and what drove that substitution. He explores the distribution and marketing structure of books, and writes fascinatingly on the history of boo...
This book is about inductive databases and constraint-based data mining, emerging research topics lying at the intersection of data mining and database research. The aim of the book as to provide an overview of the state-of- the art in this novel and - citing research area. Of special interest are the recent methods for constraint-based mining of global models for prediction and clustering, the uni?cation of pattern mining approaches through constraint programming, the clari?cation of the re- tionship between mining local patterns and global models, and the proposed in- grative frameworks and approaches for inducive databases. On the application side, applications to practically relevant pro...
Men and Women in Qing China is an analysis of Chinese prescriptions of gender as represented in Cao Xueqin's famous eighteenth century Chinese novel of manners, The Red Chamber Dream or The Story of the Stone. Drawing on feminist literary critical methods it examines Qing notions of masculinity and femininity, including themes such as bisexuality, motherhood, virginity and purity, and gender and power. Its central aim is to challenge the common assumption that the novel represents some form of early Chinese feminism by examining the text in conjunction with historical data. The book will be especially important to those interested in issues of gender in China, the history of Chinese literary criticism and the application of feminist theory to the Asian text.
This book primarily discusses issues related to the mining aspects of data streams and it is unique in its primary focus on the subject. This volume covers mining aspects of data streams comprehensively: each contributed chapter contains a survey on the topic, the key ideas in the field for that particular topic, and future research directions. The book is intended for a professional audience composed of researchers and practitioners in industry. This book is also appropriate for advanced-level students in computer science.
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This book unifies and consolidates methods for analyzing multilayer networks arising from the social and physical sciences and computing.