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Next Generation of Data Mining

Drawn from the US National Science Foundation's Symposium on Next Generation of Data Mining and Cyber-Enabled Discovery for Innovation;

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Next Generation of Data Mining

Drawn from the US National Science Foundation's Symposium on Next Generation of Data Mining and Cyber-Enabled Discovery for Innovation;

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Bioinformatics in Personalized Medicine

in topical sections on next-generation sequencing data; genome-wide association studies; high-performanced databases; text-mining; tools for;

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Data Mining Methods

DATA MINING METHODS, Second Edition discusses both theoretical foundation and practical applications of datamining in a web field including;

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Strictly (Mining) Boardroom II

for everyone: from the next generation of mining executives, to technical leaders and anyone interested in mining and mineral exploration;

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Bioinformatics Research and Applications

simulation; next-generation sequencing data analysis; pattern discovery and classification; population genetics; software tools and applications;

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Next Generation Microarray Bioinformatics

resources for microarray bioinformatics, microarray data analysis, microarray bioinformatics in systems biology, next generation sequencing data;

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Pattern Recognition Algorithms for Data Mining

Pattern Recognition Algorithms for Data Mining addresses different pattern recognition (PR) tasks in a unified framework with both;

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Pattern Recognition Algorithms for Data Mining

Pattern Recognition Algorithms for Data Mining addresses different pattern recognition (PR) tasks in a unified framework with both;

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Feature Engineering for Machine Learning and Data Analytics

Feature engineering plays a vital role in big data analytics. Machine learning and data mining algorithms cannot work without data. Little;

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Feature Engineering for Machine Learning and Data Analytics

topics not covered in this book. The next six chapters are devoted to feature engineering, including feature generation for specific data types;

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Next Generation SONET/SDH

THE DEFINITIVE GUIDEBOOK TO NEXT GENERATION SONET/SDH, OPTICAL NETWORKS, AND NEW DATA COMMUNICATIONS PROTOCOL The next generation SONET/SDH;

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Big Data Analytics and Knowledge Discovery

theoretical and practical aspects of big data analytics and knowledge discovery as a new generation of big data repository, data pre-processing, data;

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Managing and Mining Graph Data

of important graph topics such as graph languages, indexing, clustering, data generation, pattern mining, classification, keyword search, pattern;

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Managing and Mining Graph Data

of important graph topics such as graph languages, indexing, clustering, data generation, pattern mining, classification, keyword search, pattern;

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Next Generation Sequencing and Data Analysis

applications. The reader learns how to perform Next Generation Sequencing data analysis, how to interpret and visualize the data, and acquires;

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Principles of Data Mining

This book explains the principal techniques of data mining: for classification, generation of association rules and clustering. It;

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Proceedings of ICETIT 2019

and cloud computing, security and privacy, and next generation computing technologies.;

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Proceedings of ICETIT 2019

and cloud computing, security and privacy, and next generation computing technologies.;

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Next Generation Geospatial Information

book on Next Generation Geospatial Information offers a collection of original contributions from leading experts in spatial information;

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Tag-based Next Generation Sequencing

approaches, where the focus shifts from 'sequencing power' to better means of data analysis and visualization for common users. Today Next Generation;

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Design, Implementation, and Analysis of Next Generation Optical Networks

dramatically, causing network operators to have to migrate the existing optical networks towards next-generation solutions. The main challenge within;

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Algorithms for Next-Generation Sequencing

seeking to process and manage the data generated by next-generation sequencing, and as a textbook or a self-study resource. In addition to;

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Algorithms for Next-Generation Sequencing

seeking to process and manage the data generated by next-generation sequencing, and as a textbook or a self-study resource. In addition to;

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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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Next-Generation Sequencing and Sequence Data Analysis

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Python for Data Mining Quick Syntax Reference

provides you with a handy reference and tutorial on topics ranging from basic Python concepts through to data mining, manipulating and importing;

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