Biological knowledge discovery handbook : preprocessing, mining, and postprocessing of biological data

**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 data—and 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 processing—also known as data mining—and data postprocessing) and analyzes both verification systems and discovery systems. BIOLOGICAL DATA PREPROCESSING * Part A: Biological Data Management * Part B: Biological Data Modeling * Part C: Biological Feature Extraction * Part D Biological Feature Selection BIOLOGICAL DATA MINING * Part E: Regression Analysis of Biological Data * Part F Biological Data Clustering * Part G: Biological Data Classification * Part H: Association Rules Learning from Biological Data * Part I: Text Mining and Application to Biological Data * Part 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. 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"-- "This book is a survey of the most recent developments on techniques and approaches in the field of biological KDD. It presents the latest, newest, most important topics encountered in this field"-- Multifractal Financial Markets ​explores appropriate models for estimating risk and profiting from market swings, allowing readers to develop enhanced portfolio management skills and strategies. Fractals in finance allow us to understand market instability and persistence. When applied to financial markets, these models produce the requisite amount of data necessary for gauging market risk in order to mitigate loss. This brief delves deep into the multifractal market approach to portfolio management through real-world examples and case studies, providing readers with the tools they need to forecast profound shifts in market activity. Annotation Multifractal Financial Marketsexplores appropriate models for estimating riskand profiting from market swings, allowing readers to develop enhanced portfolio management skillsand strategies. Fractals in finance allow us to understand market instability and persistence. When applied to financial markets, these models produce the requisite amount of data necessaryfor gaugingmarket risk in order to mitigate loss. This brief delves deep into the multifractal market approach to portfolio managementthrough real-worldexamples and case studies, providing readers with the toolsthey needto forecastprofound shifts in market activity « 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 »-- Résumé de l'éditeur "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"-- Provided by publisher