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This book provides an up-to-date, panoramic picture of the field of intellectual styles through describing, analyzing, and integrating the major theoretical and research works on the topic. Readers will gain a broad understanding of the field--its nature, origins, historical development, theories, research, and applications, as well as the interrelationships among major theoretical constructs proposed by different theorists in the past few decades. In particular, three major controversial issues in the field are addressed by both empirical findings and literature review: styles as better versus worse or as equal in merit; styles as traits versus styles as states; and styles as different cons...
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What is linguistics? What does a linguist do? . . . He studies the way people speak. . . . What! Thats ridiculous? Who does not know how to speak except a deaf-mute? What is there to study? Li Fang-Kuei, one of the foremost Chinese linguists in the world, encountered the skepticism of his prospective mother-in-law in the 1920s when he returned to China and wished to ask her daughters hand in marriage. Li studied general linguistics at the University of Chicago with Edward Sapir. His research in American Indian languages took him into the wilds of northern Canada; his study of non-Han ethnic minority languages in China took him to the borders of Tibet, Thailand and Vietnam. Lis career as a scholar, linguist, and adventurer from his idyllic years of study in America, through the war-torn years in China, and peaceful retirement in Hawaii, is tantalizingly sketched in this chronological biography.
The Machine sheds light on all the dark corners of the resurgent right, laying out its modus operandi in short, accessible chapters.
This book constitutes the refereed proceedings of the First International Conference on Advanced Data Mining and Applications, ADMA 2005, held in Wuhan, China in July 2005. The conference was focused on sophisticated techniques and tools that can handle new fields of data mining, e.g. spatial data mining, biomedical data mining, and mining on high-speed and time-variant data streams; an expansion of data mining to new applications is also strived for. The 25 revised full papers and 75 revised short papers presented were carefully peer-reviewed and selected from over 600 submissions. The papers are organized in topical sections on association rules, classification, clustering, novel algorithms, text mining, multimedia mining, sequential data mining and time series mining, web mining, biomedical mining, advanced applications, security and privacy issues, spatial data mining, and streaming data mining.