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Evolutionary Computation Machine Learning and Data Mining in Bioinformatics

This book constitutes the refereed proceedings of the 7th European Conference on Evolutionary Computation, Machine Learning and Data Mining;

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Hybrid Artificial Intelligent Systems

submissions. They are organized in topical sections on data mining and knowledge discovery; time series; bio-inspired models and evolutionary;

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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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Applications of Evolutionary Computation

: EvoBIO (evolutionary computation, machine learning and data mining in computational biology), EvoCOMNET (nature-inspired techniques for;

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Applied Soft Computing

, fusion-based learning, intelligent healthcare systems, bioinformatics, data mining, functional approximation, genetic and evolutionary algorithms;

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Nature-Inspired Computation in Data Mining and Machine Learning

mining and machine learning. Data mining, machine learning and nature-inspired computation are current hot research topics due to their;

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Nature-Inspired Computation in Data Mining and Machine Learning

mining and machine learning. Data mining, machine learning and nature-inspired computation are current hot research topics due to their;

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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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ICT Innovations 2019. Big Data Processing and Mining

, mathematical optimization, probability and statistics, data management systems, data mining, human computer interaction (HCI), artificial intelligence;

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Applications of Evolutionary Computation

), EvoBIO (evolutionary computation, machine learning and data mining in computational biology), EvoCOMNET (nature-inspired techniques for;

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Applications of Evolutionary Computation

), EvoBIO (evolutionary computation, machine learning and data mining in computational biology), EvoCOMNET (nature-inspired techniques for;

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Intelligent Data Engineering and Automated Learning - IDEAL 2019

challenges, machine learning, data mining, information retrieval and management, bio-/neuro-informatics, bio-inspired models (including neural;

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Intelligent Data Engineering and Automated Learning - IDEAL 2019

challenges, machine learning, data mining, information retrieval and management, bio-/neuro-informatics, bio-inspired models (including neural;

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Applications of Evolutionary Computation

(evolutionary computation, machine learning and data mining in computational biology), EvoCOMNET (nature-inspired techniques for telecommunication;

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Applications of Evolutionary Computation

(evolutionary computation, machine learning and data mining in computational biology), EvoCOMNET (nature-inspired techniques for telecommunication;

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5th International Symposium on Data Mining Applications

databases, social networks, web, bioinformatics, finance, healthcare, and security.* Algorithms: Data mining and machine learning foundations;

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Pattern Recognition And Big Data

describes efficient soft and robust machine learning algorithms and granular computing techniques for data mining and knowledge discovery; and the;

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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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Data Analytics in Bioinformatics

learning computational techniques to analyze high throughput data in the form of sequences, gene and protein expressions, pathways, and images are;

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Evolutionary Synthesis of Pattern Recognition Systems

in computer vision, pattern recognition, target recognition, machine learning, evolutionary learning, image processing, knowledge discovery and data;

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Advances in Knowledge Discovery and Data Mining

supervised learning; text and opinion mining; spatio-temporal and stream data mining; factor and tensor analysis; healthcare, bioinformatics and;

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Advances in Knowledge Discovery and Data Mining

supervised learning; text and opinion mining; spatio-temporal and stream data mining; factor and tensor analysis; healthcare, bioinformatics and;

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Advances in Knowledge Discovery and Data Mining

supervised learning; text and opinion mining; spatio-temporal and stream data mining; factor and tensor analysis; healthcare, bioinformatics and;

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Data Mining for Bioinformatics

mining has to offer Focuses on concepts of unsupervised learning using clustering techniques and its application to large biological data;

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Data Mining for Bioinformatics

mining has to offer Focuses on concepts of unsupervised learning using clustering techniques and its application to large biological data;

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Advances in Artificial Intelligence

, reasoning, and logic; intelligent systems and environment; intelligent Web and recommender systems; machine learning and data mining; metaheuristics;

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Machine Learning Approaches To Bioinformatics

topics in bioinformatics including systematic data mining and computational systems biology researches are brought together in this book, thereby;

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