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Prediction of Protein Structures, Functions, and Interactions
The growing flood of new experimental data generated by genome sequencing has provided an impetus for the development of automated methods for predicting the functions of proteins that have been deduced by sequence analysis and lack experimental characterization.
Prediction of Protein Structures, Functions and Interactions presents... | | Cluster Analysis for Data Mining and System Identification
Data clustering is a common technique for statistical data analysis, which is used in many fields, including machine learning, data mining, pattern recognition, image analysis and bioinformatics. Clustering is the classification of similar objects into different groups, or more precisely, the partitioning of a data set into subsets... | | Data Mining with R: Learning with Case Studies
The versatile capabilities and large set of add-on packages make R an excellent alternative to many existing and often expensive data mining tools. Exploring this area from the perspective of a practitioner, Data Mining with R: Learning with Case Studies uses practical examples to illustrate the power of R and data... |
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Multimedia Systems: Algorithms, Standards, and Industry Practices
Multimedia is now a broad “umbrella” that innovatively combines different fields of
research and industry to produce practical solutions that are used on a wide scale
today. Some of these fields are signal processing, imaging and color science, video and
audio analysis, 2D/3D graphics, information theory, compression,... | | Equidistribution in Number Theory, An Introduction
From July 11th to July 22nd, 2005, a NATO advanced study institute, as part
of the series “S´eminaire de math´ematiques sup´erieures”, was held at the Universit
´e de Montr´eal, on the subject Equidistribution in the theory of numbers.
There were about one hundred participants from sixteen... | | |
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