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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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Bioinformatics Database Systems

. The latter part of the book covers biological data mining and biological data processing approaches using cloud-based technologies. General;

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Bioinformatics Database Systems

. The latter part of the book covers biological data mining and biological data processing approaches using cloud-based technologies. General;

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Data Mining for Bioinformatics

techniques. Introducing the various data mining techniques that can be employed in biological databases, the text is organized into four sections;

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Data Mining for Bioinformatics

techniques. Introducing the various data mining techniques that can be employed in biological databases, the text is organized into four sections;

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Data Mining: Foundations and Intelligent Paradigms

There are many invaluable books available on data mining theory and applications. However, in compiling a volume titled DATA MINING;

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Pharmaceutical Data Mining

Extracting and applying knowledge from chemical, biological, and clinical data is one of the biggest problems for the pharmaceutical;

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Biological Data Mining and Its Applications in Healthcare

. This has resulted in a flood of biological and clinical data from genomic and protein sequences, DNA microarrays, protein interactions;

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Biological Knowledge Discovery Handbook

comprehensive overview of data mining, preprocessing, postprocessing, and storage for biological data. It surveys the latest approaches and techniques;

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Managing and Mining Graph Data

Managing and Mining Graph Data is a comprehensive survey book in graph management and mining. It contains extensive surveys on a variety;

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Managing and Mining Graph Data

Managing and Mining Graph Data is a comprehensive survey book in graph management and mining. It contains extensive surveys on a variety;

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Data Mining for Biomarker Discovery

informatics. This volume is a collection of state-of-the-art research into the application of data mining to the discovery and analysis of new;

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Clustering Challenges In Biological Networks

analysis and data mining, as well as people working in bioinformatics, computer science, engineering, and applied mathematics. In addition, the;

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Life Science Data Mining

This timely book identifies and highlights the latest data mining paradigms to analyze, combine, integrate, model and simulate vast amounts;

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Life Science Data Mining

This timely book identifies and highlights the latest data mining paradigms to analyze, combine, integrate, model and simulate vast amounts;

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Exploratory Data Analysis in Empirical Research

ideas and examples for cross disciplinary applications of classification and data analysis methods in fields such as data and web mining;

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Devloping Bioinformatics Computer Skills

discipline. Genome sequencing projects are producing vast amounts of biological data for many different organisms, and, increasingly, storing these;

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Big Mechanisms in Systems Biology

of systems biology by system identification and big data mining methods using models of biological systems. Systems biology is currently undergoing;

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Evolutionary Computation Machine Learning and Data Mining in Bioinformatics

in bioinformatics and the biological sciences, all interested in the interface between evolutionary computation, machine learning, data mining;

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Advanced Data Mining and Applications

This book constitutes the proceedings of the 12th International Conference on Advanced Data Mining and Applications, ADMA 2016, held;

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Event Mining for Explanatory Modeling

This book introduces the concept of Event Mining for building explanatory models from analyses of correlated data. Such a model may be used;

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Event Mining for Explanatory Modeling

This book introduces the concept of Event Mining for building explanatory models from analyses of correlated data. Such a model may be used;

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Advances on Data Mining: Applications and Theoretical Aspects

This book constitutes the refereed proceedings of the 11th Industrial Conference on Data Mining, ICDM 2011, held in New York, USA;

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Data Mining

This book, Data Mining: The Data Mining Guide for Beginners, Including Applications for Business, Data Mining Techniques, Concepts, and;

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Data Mining with Microsoft SQL Server 2008

Understand how to use the new features of Microsoft SQL Server 2008 for data mining by using the tools in Data Mining with Microsoft SQL;

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Cube Based Incremental Data Mining

This work presents a cube-based approach for incremental data mining that operates on the data, rather than on the data mining algorithms;

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