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Data Mining and Applications in Genomics

Data Mining and Applications in Genomics contains the data mining algorithms and their applications in genomics, with frontier case studies;

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Data Mining and Applications in Genomics

Data Mining and Applications in Genomics contains the data mining algorithms and their applications in genomics, with frontier case studies;

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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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Microarrays for an Integrative Genomics

experiments, the book discusses the foundations for analyzing microarray data sets, genomic data-mining, the creation of standardized nomenclature and;

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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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Data Mining for Bioinformatics

Covering theory, algorithms, and methodologies, as well as data mining technologies, Data Mining for Bioinformatics provides a;

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Data Mining for Bioinformatics

Covering theory, algorithms, and methodologies, as well as data mining technologies, Data Mining for Bioinformatics provides a;

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The Text Mining Handbook

techniques from data mining, machine learning, natural language processing, information retrieval, and knowledge management. Similarly, link;

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Statistical Data Analytics

Solutions Manual to accompany Statistical Data Analytics: Foundations for Data Mining, Informatics, and Knowledge Discovery A comprehensive;

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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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Advanced Data Mining and Applications

The two-volume set LNAI 8346 and 8347 constitutes the thoroughly refereed proceedings of the 9th International Conference on Advanced Data;

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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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Managing Data Mining Technologies in Organizations

Details the state-of-the-art data mining research, which reflects in a potpourri of chapters that demonstrate diverse use of techniques and;

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5th International Symposium on Data Mining Applications

The 5th Symposium on Data Mining Applications (SDMA 2018) provides valuable opportunities for technical collaboration among data mining and;

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Statistical Genomics

, common applications, and representative tools for operating on genomic data. Statistical Genomics: Methods and Protocols is divided into four;

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Advanced Data Mining

This book consists of advanced information regarding data mining and their applications. It offers to aid data miners, researchers;

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Advanced Data Mining and Applications

This book constitutes the refereed proceedings of the 13th International Conference on Advanced Data Mining and Applications, ADMA 2017;

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Mobile Data Mining and Applications

, from a mobile data mining platform for collecting mobile data, to mobile data processing, and mobile feature discovery. Usage of mobile data;

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Advanced Data Mining and Applications

This book constitutes the proceedings of the 16th International Conference on Advanced Data Mining and Applications, ADMA 2020, held;

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Social Big Data Mining

This book focuses on the basic concepts and the related technologies of data mining for social medial. Topics include: big data and social;

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Social Big Data Mining

This book focuses on the basic concepts and the related technologies of data mining for social medial. Topics include: big data and social;

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Data Mining and Knowledge Discovery for Geoscientists

wealth of available mining data amid an absence of the knowledge and expertise necessary to analyze and accurately interpret the same data.Most;

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Advances in Data Mining: Applications and Theoretical Aspects

of data mining to applications of data mining, such as in multimedia data, in marketing, finance and telecommunication, in medicine and;

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Advances in Data Mining. Applications and Theoretical Aspects

theoretical aspects of data mining to applications of data mining, such as in multimedia data, in marketing, in medicine and agriculture, and;

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Advances in Data Mining Applications and Theoretical Aspects

from theoretical aspects of data mining to applications of data mining, such as in multimedia data, in marketing, in medicine and agriculture;

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Advances in Data Mining: Applications and Theoretical Aspects

range from theoretical aspects of data mining to applications of data mining, such as in multimedia data, in marketing, in medicine and;

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Advances on Data Mining: Applications and Theoretical Aspects

in topical sections on data mining in medicine and agriculture, data mining in marketing, data mining for Industrial processes and;

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