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Añadir al carritoHardcover. Condición: 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 multiple locations in the US or from the UK, depending on stock availability.
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Añadir al carritoCondición: New. 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. Series: Wiley Series in Bioinformatics. Num Pages: 1192 pages, Illustrations. BIC Classification: PSA; UNA. Category: (P) Professional & Vocational. Dimension: 255 x 184 x 57. Weight in Grams: 2174. . 2014. 1st Edition. Hardcover. . . . .
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Añadir al carritoCondición: New. 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. Series: Wiley Series in Bioinformatics. Num Pages: 1192 pages, Illustrations. BIC Classification: PSA; UNA. Category: (P) Professional & Vocational. Dimension: 255 x 184 x 57. Weight in Grams: 2174. . 2014. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.
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Publicado por John Wiley & Sons Inc, New York, 2014
ISBN 10: 1118132734 ISBN 13: 9781118132739
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Añadir al carritoHardcover. Condición: 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.
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Publicado por John Wiley & Sons Inc, New York, 2014
ISBN 10: 1118132734 ISBN 13: 9781118132739
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Añadir al carritoHardcover. Condición: 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 Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.