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Data Mining for Bioinformatics Applications

Data Mining for Bioinformatics Applications provides valuable information on the data mining methods have been widely used for solving;

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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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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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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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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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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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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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Machine Learning in Bioinformatics

proteomic data mining; comparing variable selection methods in gene selection and classification of microarray data; fuzzy gene mining; sequence;

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Translational Bioinformatics Applications in Healthcare

detection Aimed at researchers and graduate students in computational biology, data mining and knowledge discovery, algorithms and complexity;

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Information and Knowledge Engineering

Management + Knowledge Acquisition Databases, Information Retrieval and Search Decision Support Systems Mining of Data Rich Sources Data and;

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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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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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Hybrid Artificial Intelligent Systems

for data mining and applications.;

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The Handbook of Data Mining

is organized into three parts. Part I presents various data mining methodologies, concepts, and available software tools for each methodology. Part II;

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The Handbook of Data Mining

is organized into three parts. Part I presents various data mining methodologies, concepts, and available software tools for each methodology. Part II;

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Biologically-Inspired Techniques for Knowledge Discovery and Data Mining

communities of data mining and knowledge discovery, as well as for academicians and students in the field.;

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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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Algorithmic And Artificial Intelligence Methods For Protein

analysis of protein data. In one complete, self-contained volume, Algorithmic and Artificial Intelligence Methods for Protein Bioinformatics;

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Bayesian Analysis of Gene Expression Data

The field of high-throughput genetic experimentation is evolving rapidly, with the advent of new technologies and new venues for data;

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Advances in Knowledge Discovery and Data Mining

Knowledge Discovery and Data Mining, PAKDD 2019, held in Macau, China, in April 2019. The 137 full papers presented were carefully reviewed;

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Advances in Knowledge Discovery and Data Mining

Knowledge Discovery and Data Mining, PAKDD 2019, held in Macau, China, in April 2019. The 137 full papers presented were carefully reviewed;

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Advances in Knowledge Discovery and Data Mining

Knowledge Discovery and Data Mining, PAKDD 2019, held in Macau, China, in April 2019. The 137 full papers presented were carefully reviewed;

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Foundations of Computational Intelligence 06

techniques for Data Mining. The book is divided into 3 parts: Part-I: Data Click Streams and Temporal Data Mining Part-II: Text and Rule Mining Part;

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Recent Developments in Computing and its Applications

Technologies Wireless And Sensor Networks Soft Computing Circuits and Systems Software Engineering Data Mining Bioinformatics Data and Network;

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Bioinformatics and Computational Biology

Learning, Data and Information Mining + Signal Processing and Data Quality Enhancement + Databases Posters Late Breaking Papers and Position;

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