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looks at the role and value of data mining in drug discovery. The third part compares the most common applications and strategies for;
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industry. Focusing on diverse data mining approaches for drug discovery, including chemogenomics, toxicogenomics, and individual drug response;
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Text Mining for Genomics-based Drug Discovery is een boek van Patrick Herron;
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Knowledge Discovery and Data Mining (PAKDD) held in Tainan, Taiwan, in May 2014. The 73 revised papers presented were carefully reviewed and;
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A new approach to distributed large-scale data mining, service-oriented knowledge discovery extracts useful knowledge from today's often;
Vergelijkbare producten zoals Service-Oriented Distributed Knowledge Discovery
A new approach to distributed large-scale data mining, service-oriented knowledge discovery extracts useful knowledge from today's often;
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Data Mining, PAKDD 2021, which was held during May 11-14, 2021.The 157 papers included in the proceedings were carefully reviewed and selected;
Vergelijkbare producten zoals Advances in Knowledge Discovery and Data Mining
Data Mining, PAKDD 2021, which was held during May 11-14, 2021.The 157 papers included in the proceedings were carefully reviewed and selected;
Vergelijkbare producten zoals Advances in Knowledge Discovery and Data Mining
Data Mining, PAKDD 2021, which was held during May 11-14, 2021.The 157 papers included in the proceedings were carefully reviewed and selected;
Vergelijkbare producten zoals Advances in Knowledge Discovery and Data Mining
This third edition volume expands on the previous editions with new topics that cover drug discovery through translational bioinformatics;
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Data Mining Methods for Knowledge Discovery provides an introduction to the data mining methods that are frequently used in the process;
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This comprehensive textbook on data mining details the unique steps of the knowledge discovery process that prescribes the sequence;
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This comprehensive textbook on data mining details the unique steps of the knowledge discovery process that prescribes the sequence;
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communities of data mining and knowledge discovery, as well as for academicians and students in the field.;
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in drug discovery. This edition has been thoroughly revised to include material on data-driven drug discovery, biased signaling, structure-based;
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implementations of knowledge discovery and data mining. It may appear that the same things are being repeated but in general, same approach and techniques;
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Pacific-Asia Conference on Knowledge Discovery and Data Mining in Auckland, New Zealand, in April 2016. The 23 revised papers presented;
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The volume LNCS 12393 constitutes the papers of the 22nd International Conference Big Data Analytics and Knowledge Discovery which will be;
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in Knowledge Discovery and Data Mining, PAKDD 2017, held in Jeju, South Korea, in May 2017. The 129 full papers were carefully reviewed and selected;
Vergelijkbare producten zoals Advances in Knowledge Discovery and Data Mining
in Knowledge Discovery and Data Mining, PAKDD 2017, held in Jeju, South Korea, in May 2017. The 129 full papers were carefully reviewed and selected;
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Discovery and Data Mining, PAKDD 2015, held in Ho Chi Minh City, Vietnam, in May 2015. The proceedings contain 117 paper carefully reviewed and;
Vergelijkbare producten zoals Advances in Knowledge Discovery and Data Mining
Discovery and Data Mining, PAKDD 2015, held in Ho Chi Minh City, Vietnam, in May 2015. The proceedings contain 117 paper carefully reviewed and;
Vergelijkbare producten zoals Advances in Knowledge Discovery and Data Mining
Collecting the latest developments in the field, Multimedia Data Mining: A Systematic Introduction to Concepts and Theory defines;
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Collecting the latest developments in the field, Multimedia Data Mining: A Systematic Introduction to Concepts and Theory defines;
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This book constitutes the refereed proceedings of the 13th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2009, held;
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Although the terms data mining and knowledge discovery and data mining (KDDM) are sometimes used interchangeably, data mining;
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selection to genetic modeling and valuable data integration, In Silico Technologies in Drug Target Identification and Validation is a self-contained;
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