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This book offers a comprehensible overview of Big Data Preprocessing, which includes a formal description of each problem. It also;
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This book offers a comprehensible overview of Big Data Preprocessing, which includes a formal description of each problem. It also;
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of the traditional methods, with respect to big data, through case studies and research from experts in academia, engineering, and industry. The;
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Data Preprocessing for Data Mining addresses one of the most important issues within the well-known Knowledge Discovery from Data process;
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Data Mining for Bioinformatics Applications provides valuable information on the data mining methods have been widely used for solving;
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; data preprocessing; data streams and online learning; deep learning; distance and metric learning; large scale learning and big data; matrix;
Vergelijkbare producten zoals Machine Learning and Knowledge Discovery in Databases
; data preprocessing; data streams and online learning; deep learning; distance and metric learning; large scale learning and big data; matrix;
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learning; data preprocessing; data streams and online learning; deep learning; distance and metric learning; large scale learning and big data;
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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 plays a vital role in big data analytics. Machine learning and data mining algorithms cannot work without data. Little;
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* Data preprocessing, cleaning, management and mining * Computer-aided detection * Big data analysis;
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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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workflows for predictive modeling using text as features Compare traditional machine learning methods and deep learning methods for text data;
Vergelijkbare producten zoals Supervised Machine Learning for Text Analysis in R
workflows for predictive modeling using text as features Compare traditional machine learning methods and deep learning methods for text data;
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This book constitutes the proceedings of the 9th International Conference on Big Data, BigData 2020, held as part of SCF 2020, during;
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Engineering the physical, chemical, and energy properties of lignocellulosic biomass is important to;...
Vergelijkbare producten zoals Biomass Preprocessing and Pretreatments for Production of Biofuels
Engineering the physical, chemical, and energy properties of lignocellulosic biomass is important to;...
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Preprocessing, or data reduction, is a standard technique for simplifying and speeding up computation. Written by a team of experts in the;
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theoreticians and practitioners on data preprocessing, modeling, learning, and evaluation. Topics include data-mining and machine-learning algorithms;
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: Big Data Models and Algorithms; Big Data Architectures; Big Data Management; Big Data Protection, Integrity and Privacy; Security Applications;
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Advances in Big Data Analytics is a compendium of articles and papers that were presented at ABDA '14, an international conference that;
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Molecular biology is undergoing exponential growth in both the volume and complexity of biological data. This book offers the first;
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This book provides users with cutting edge methods and technologies in the area of big data and visual analytics, as well as an insight to;
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Networking for Big Data supplies an unprecedented look at cutting-edge research on the networking and communication aspects of Big Data;
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Networking for Big Data supplies an unprecedented look at cutting-edge research on the networking and communication aspects of Big Data;
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