Incomplete data is part of life and almost all areas of scientific studies. Users tend to skip certain fields when they fill out online forms; participants choose to ignore sensitive questions on surveys; sensors fail, resulting in the loss of certain readings; publicly viewable satellite map services have missing data in many mobile applications; and in privacy-preserving applications, the data is incomplete deliberately in order to preserve the sensitivity of some attribute values. Query processing is a fundamental problem in computer science, and is useful in a variety of applications. In this book, we mostly focus on the query processing over incomplete databases, which involves finding a set of qualified objects from a specified incomplete dataset in order to support a wide spectrum of real-life applications. We first elaborate the three general kinds of methods of handling incomplete data, including (i) discarding the data with missing values, (ii) imputation for the missing values, and (iii) just depending on the observed data values. For the third method type, we introduce the semantics of k-nearest neighbor (kNN) search, skyline query, and top-k dominating query on incomplete data, respectively. In terms of the three representative queries over incomplete data, we investigate some advanced techniques to process incomplete data queries, including indexing, pruning as well as crowdsourcing techniques.
Winner, CCCC Outstanding Book Award Until recently, American composition scholars have studied writing instruction mainly within the borders of their own nation, rarely considering English composition in the global context in which writing in English is increasingly taught. Writing in the Devil’s Tongue challenges this anachronistic approach by examining the history of English composition instruction in an East Asian country. Author Xiaoye You offers scholars a chance to observe how a nation changed from monolingual writing practices to bilingual writing instruction in a school setting. You makes extensive use of archival sources to help trace bilingual writing instruction in China back to 1862, when English was first taught in government schools. Treating the Chinese pursuit of modernity as the overarching theme, he explores how the entry of Anglo-American rhetoric and composition challenged and altered the traditional monolithic practice of teaching Chinese writing in the Confucian spirit. The author focuses on four aspects of this history: the Chinese negotiation with Anglo-American rhetoric, their search for innovative approaches to instruction, students’ situated use of English writing, and local scholarship in English composition. Unlike previous composition histories, which have tended to focus on institutional, disciplinary, and pedagogical issues, Writing in the Devil’s Tongue brings students back to center stage by featuring several passages written by them in each chapter. These passages not only showcase rhetorical and linguistic features of their writings but also serve as representative anecdotes that reveal the complex ways in which students, responding to their situations, performed multivalent, intercultural discourses. In addition, You moves out of the classroom and into the historical, cultural, and political contexts that shaped both Chinese writing and composing practices and the pedagogies that were adopted to teach English to Chinese in China. Teachers, students, and scholars reading this book will learn a great deal about the political and cultural impact that teaching English composition has had in China and about the ways in which Chinese writing and composition continues to be shaped by rich and diverse cultural traditions and political discourses. In showcasing the Chinese struggle with teaching and practicing bilingual composition, Writing in the Devil’s Tongue alerts American writing scholars and teachers to an outdated English monolingual mentality and urges them to modify their rhetorical assumptions, pedagogical approaches, and writing practices in the age of globalization.
Through an exploration of the literacy practices of undergraduate Chinese international students in the United States and China, Inventing the World Grant University demonstrates the ways in which literacies, mobilities, and transnational identities are constructed and enacted across institutional and geographic borders. Steven Fraiberg, Xiqiao Wang, and Xiaoye You develop a mobile literacies framework for studying undergraduate Chinese international students enrolling at Western institutions, whose numbers have increased in recent years. Focusing on the literacy practices of these students at Michigan State University and at Sinoway International Education Summer School in China, Fraiberg, Wang, and You draw on a range of mobile methods to map the travel of languages, identities, ideologies, pedagogies, literacies, and underground economies across continents. Case studies of administrators’, teachers’, and students’ everyday literacy practices provide insight into the material and social structures shaping and shaped by a globalizing educational landscape. Advocating an expansion of focus from translingualism to transliteracy and from single-site analyses to multi-site approaches, this volume situates local classroom practices in the context of the world grant university. Inventing the World Grant University contributes to scholarship in mobility, literacy, spatial theory, transnationalism, and disciplinary enculturation. It further offers insight into the opportunities and challenges of enacting culturally relevant pedagogies.
Incomplete data is part of life and almost all areas of scientific studies. Users tend to skip certain fields when they fill out online forms; participants choose to ignore sensitive questions on surveys; sensors fail, resulting in the loss of certain readings; publicly viewable satellite map services have missing data in many mobile applications; and in privacy-preserving applications, the data is incomplete deliberately in order to preserve the sensitivity of some attribute values. Query processing is a fundamental problem in computer science, and is useful in a variety of applications. In this book, we mostly focus on the query processing over incomplete databases, which involves finding a set of qualified objects from a specified incomplete dataset in order to support a wide spectrum of real-life applications. We first elaborate the three general kinds of methods of handling incomplete data, including (i) discarding the data with missing values, (ii) imputation for the missing values, and (iii) just depending on the observed data values. For the third method type, we introduce the semantics of k-nearest neighbor (kNN) search, skyline query, and top-k dominating query on incomplete data, respectively. In terms of the three representative queries over incomplete data, we investigate some advanced techniques to process incomplete data queries, including indexing, pruning as well as crowdsourcing techniques.
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