Bireuen Pengantar Algoritma Dan Pemrograman 2016
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The Top Ten Algorithms in Data Mining
Identifying some of the most influential algorithms that are widely used in the data mining community, The Top Ten Algorithms in Data Mining provides a description of each algorithm, discusses its impact, and reviews current and future research. Thoroughly evaluated by independent reviewers, each chapter focuses on a particular algorithm and is written by either the original authors of the algorithm or world-class researchers who have extensively studied the respective algorithm. The book concentrates on the following important algorithms: C4.5, k-Means, SVM, Apriori, EM, PageRank, AdaBoost, kNN, Naive Bayes, and CART. Examples illustrate how each algorithm works and highlight its overall performance in a real-world application. The text covers key topics—including classification, clustering, statistical learning, association analysis, and link mining—in data mining research and development as well as in data mining, machine learning, and artificial intelligence courses. By naming the leading algorithms in this field, this book encourages the use of data mining techniques in a broader realm of real-world applications. It should inspire more data mining researchers to further explore the impact and novel research issues of these algorithms.
Good Chinese Wife
Author: Susan Blumberg-Kason
language: en
Publisher: Sourcebooks, Inc.
Release Date: 2014-07-29
A stunning memoir of an intercultural marriage gone wrong When Susan, a shy Midwesterner in love with Chinese culture, started graduate school in Hong Kong, she quickly fell for Cai, the Chinese man of her dreams. As they exchanged vows, Susan thought she'd stumbled into an exotic fairy tale, until she realized Cai—and his culture—where not what she thought. In her riveting memoir, Susan recounts her struggle to be the perfect traditional "Chinese" wife to her increasingly controlling and abusive husband. With keen insight and heart-wrenching candor, she confronts the hopes and hazards of intercultural marriage, including dismissing her own values and needs to save her relationship and protect her newborn son, Jake. But when Cai threatens to take Jake back to China for good, Susan must find the courage to stand up for herself, her son, and her future. Moving between rural China and the bustling cities of Hong Kong and San Francisco, Good Chinese Wife is an eye-opening look at marriage and family in contemporary China and America and an inspiring testament to the resilience of a mother's love—across any border.
Learning to Solve Problems
This book provides a comprehensive, up-to-date look at problem solving research and practice over the last fifteen years. The first chapter describes differences in types of problems, individual differences among problem-solvers, as well as the domain and context within which a problem is being solved. Part one describes six kinds of problems and the methods required to solve them. Part two goes beyond traditional discussions of case design and introduces six different purposes or functions of cases, the building blocks of problem-solving learning environments. It also describes methods for constructing cases to support problem solving. Part three introduces a number of cognitive skills required for studying cases and solving problems. Finally, Part four describes several methods for assessing problem solving. Key features includes: Teaching Focus – The book is not merely a review of research. It also provides specific research-based advice on how to design problem-solving learning environments. Illustrative Cases – A rich array of cases illustrates how to build problem-solving learning environments. Part two introduces six different functions of cases and also describes the parameters of a case. Chapter Integration – Key theories and concepts are addressed across chapters and links to other chapters are made explicit. The idea is to show how different kinds of problems, cases, skills, and assessments are integrated. Author expertise – A prolific researcher and writer, the author has been researching and publishing books and articles on learning to solve problems for the past fifteen years. This book is appropriate for advanced courses in instructional design and technology, science education, applied cognitive psychology, thinking and reasoning, and educational psychology. Instructional designers, especially those involved in designing problem-based learning, as well as curriculum designers who seek new ways of structuring curriculum will find it an invaluable reference tool.