Molecular biology is undergoing exponential growth in both the volume and complexity of biological data. This book offers the first comprehensive overview of data mining, preprocessing, postprocessing, and storage for biological data. It surveys the latest approaches and techniques in biological KDD, presenting a vast yet detailed view of the most important advances in the field. Combining sound theory, technical depth, and practical applications in molecular biology, Biological Knowledge Discovery is a unique resource for practitioners and researchers in computer science, life science, and mathematics.
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Paperback. Pub Date :2013-12-23 Pages: 1192 Language: English Publisher: Wiley Proceedings containing 231 manuscripts that were submitted and approved for the 13 th biennial worldwide refractories congress recognized as the Unified International Technical Conference on Refractories (UNITECR). held September 10-13. 2013.
"This book is a unique resource for practitioners and researchers in computer science, life science, and mathematics." (Zentralblatt MATH, 1 June 2015)
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Hardcover. Condition: new. Hardcover. The first comprehensive overview of preprocessing, mining, and postprocessing of biological data Molecular biology is undergoing exponential growth in both the volume and complexity of biological dataand knowledge discovery offers the capacity to automate complex search and data analysis tasks. This book presents a vast overview of the most recent developments on techniques and approaches in the field of biological knowledge discovery and data mining (KDD)providing in-depth fundamental and technical field information on the most important topics encountered. Written by top experts, Biological Knowledge Discovery Handbook: Preprocessing, Mining, and Postprocessing of Biological Data covers the three main phases of knowledge discovery (data preprocessing, data processingalso known as data miningand data postprocessing) and analyzes both verification systems and discovery systems. BIOLOGICAL DATA PREPROCESSING Part A: Biological Data ManagementPart B: Biological Data ModelingPart C: Biological Feature ExtractionPart D Biological Feature Selection BIOLOGICAL DATA MINING Part E: Regression Analysis of Biological DataPart F Biological Data ClusteringPart G: Biological Data ClassificationPart H: Association Rules Learning from Biological DataPart I: Text Mining and Application to Biological DataPart J: High-Performance Computing for Biological Data Mining Combining sound theory with practical applications in molecular biology, Biological Knowledge Discovery Handbook is ideal for courses in bioinformatics and biological KDD as well as for practitioners and professional researchers in computer science, life science, and mathematics. Molecular biology is undergoing exponential growth in both the volume and complexity of biological data. This book offers the first comprehensive overview of data mining, preprocessing, postprocessing, and storage for biological data. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9781118132739
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