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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
The purpose of this edited book is to bring together the ideas and findings of data mining researchers and bioinformaticians by discussing cutting-edge research topics such as, gene expressions, protein/RNA structure prediction, phylogenetics, sequence and structural motifs, genomics and proteomics, gene findings, drug design, RNAi and microRNA analysis, text mining in bioinformatics, modelling of biochemical pathways, biomedical ontologies, system biology and pathways, and biological database management.
Popular science readers embrace epics—the sweeping stories that claim to tell the history of all the universe, from the cosmological to the biological to the social. And the appeal is understandable: in writing these works, authors such as E. O. Wilson or Steven Weinberg deliberately seek to move beyond particular disciplines, to create a compelling story weaving together natural historical events, scientific endeavor, human discovery, and contemporary existential concerns. In AFinal Story, Nasser Zakariya delves into the origins and ambitions of these scientific epics, from the nineteenth century to the present, to see what they reveal about the relationship between storytelling, integrated scientific knowledge, and historical method. While seeking to transcend the perspectives of their own eras, the authors of the epics and the debates surrounding them are embedded in political and social struggles of their own times, struggles to which the epics in turn respond. In attempts to narrate an approach to a final, true account, these synthesizing efforts shape and orient scientific developments old and new. By looking closely at the composition of science epics and the related genres developed along with them, we are able to view the historical narrative of science as a form of knowledge itself, one that discloses much about the development of our understanding of and relationship to science over time.
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