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Data Mining for Systems Biology

implementation advice that is useful for getting optimal results. Authoritative and practical, Data Mining for Systems Biology: Methods and Protocols;

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Big Mechanisms in Systems Biology

Big Mechanisms in Systems Biology: Big Data Mining, Network Modeling, and Genome-Wide Data Identification explains big mechanisms;

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Foundations of Intelligent Systems

discovery and data mining - in memoriam Jan Zytkov, social networks, multi-agent systems, theoretical backgrounds of AI, machine learning, data;

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Advances in Bioinformatics and Computational Biology

, including sequence analysis; motifs, and pattern matching; biological databases, data management, data integration, and data mining; biomedical text;

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Computational Systems Bioinformatics - Methods And Biomedical Applications

by introducing the basic mathematical, statistical, and data mining principles of computational systems biology, and then presents;

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Data Mining in Drug Discovery

Written for drug developers rather than computer scientists, this monograph adopts a systematic approach to mining scientifi c data sources;

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Evolutionary Computation Machine Learning and Data Mining in Bioinformatics

This book constitutes the refereed proceedings of the 7th European Conference on Evolutionary Computation, Machine Learning and Data Mining;

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Data Mining in Bioinformatics

Written especially for computer scientists, all necessary biology is explained. Presents new techniques on gene expression data;

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Translational Bioinformatics and Systems Biology Methods for Personalized Medicine

Translational Bioinformatics and Systems Biology Methods for Personalized Medicine introduces integrative approaches in translational;

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Bioinformatics and Computational Biology

, Folding, and Computational Structural Biology * Modeling And Simulation Novel Studies * Data and Information Mining, Computational Biology;

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Clustering Challenges In Biological Networks

book can be used as a supplement to any course in data mining or computational/systems biology.;

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Practical Applications of Computational Biology and Bioinformatics 12th Interna

studies in the area of machine learning in bioinformatics, systems biology, omics data analysis and mining, biomedical applications and sequences;

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Bioinformatics Research and Applications

mining and ortologies; biomolecular imaging; comparative genomics; computational genetic epidemiology; computational proteomics; data mining and;

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Fuzzy Modeling and Genetic Algorithms for Data Mining and Exploration

Fuzzy Modeling and Genetic Algorithms for Data Mining and Exploration is a handbook for analysts, engineers, and managers involved;

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Linear Algebra Tools For Data Mining

This comprehensive volume presents the foundations of linear algebra ideas and techniques applied to data mining and related fields. Linear;

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Integration Challenges for Analytics, Business Intelligence, and Data Mining

information that is crucial for the success of the company. Without the integration of data (both structured and unstructured) mining in business;

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Biological Data Mining

Like a data-guzzling turbo engine, advanced data mining has been powering post-genome biological studies for two decades. Reflecting this;

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Biological Data Mining

Like a data-guzzling turbo engine, advanced data mining has been powering post-genome biological studies for two decades. Reflecting this;

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Educational Improvement Through Data Mining & Analytics

data mining) are starting to be applied in education. The book examines the challenges being encountered and the potential of such efforts for;

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Real World Data Mining Applications

Data mining applications range from commercial to social domains, with novel applications appearing swiftly; for example, within the;

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Data Mining and Decision Support

Data mining deals with finding patterns in data that are by user-definition, interesting and valid. It is an interdisciplinary area;

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Design and Implementation of Data Mining Tools

unique contributions of data mining systems. It provides essential information for technologists to decide on the tools to select for a;

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Design and Implementation of Data Mining Tools

unique contributions of data mining systems. It provides essential information for technologists to decide on the tools to select for a;

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Foundations of Intelligent Systems

papers include both theoretical and practical aspects of machine learning, data mining methods, deep learning, bioinformatics and health;

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Grid Computing for Bioinformatics and Computational Biology

communities including bioinformatics, computational biology, Grid computing, data mining, and more. It also serves as an ideal textbook for;

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Human Capital Systems, Analytics, and Data Mining

tutorials for Human Capital Management Systems (HCMS) database modeling, analytics, interactive dashboards, and data mining that is independent;

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Human Capital Systems, Analytics, and Data Mining

tutorials for Human Capital Management Systems (HCMS) database modeling, analytics, interactive dashboards, and data mining that is independent;

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