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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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Brain and Nature-Inspired Learning, Computation and Recognition

Brain and Nature-Inspired Learning, Computation and Recognition presents a systematic analysis of neural networks, natural computing;

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Nature-Inspired Computation in Engineering

engineers who are interested in nature-inspired computation, artificial intelligence and computational intelligence. It can also serve as a;

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Human Inspired Computing and its Applications

systems. The second volume deals with advances in nature-inspired computation and machine learning and contains also 44 papers structured into;

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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

(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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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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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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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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Handbook of Neural Computation

and medical industries for neural networks and other machine learning methods to solve different types of operations, such as data prediction;

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Recent Advances in Swarm Intelligence and Evolutionary Computation

, artificial intelligence, machine learning, computational intelligence, data mining, engineering optimization and designs.;

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Intelligent Computing Theories and Application

learning and data analysis for medical and engineering applications; evolutionary computation and learning; independent component analysis;

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Intelligent Computing Theories and Application

learning and data analysis for medical and engineering applications; evolutionary computation and learning; independent component analysis;

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Intelligent Computing Methodologies

learning and data analysis for medical and engineering applications; evolutionary computation and learning; independent component analysis;

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Advances in Swarm Intelligence

Robotics and Multi-Agent System; UAV Cooperation and Control; Machine Learning; Data Mining; and Other Applications.;

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Advances in Swarm Intelligence

algorithm; bacterial foraging optimization; genetic algorithm and evolutionary computation; multi-objective optimization; machine learning; data;

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Data Mining and Machine Learning in Cybersecurity

With the rapid advancement of information discovery techniques, machine learning and data mining continue to play a significant role;

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Hybrid Artificial Intelligent Systems

computation; learning algorithms; visual analysis and advanced data processing techniques; data mining applications; and hybrid intelligent;

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Trends and Applications in Knowledge Discovery and Data Mining

were carefully reviewed and selected from 38 submissions. The workshops affiliated with PAKDD 2016 include: Biologically Inspired Data Mining;

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Applications of Evolutionary Computation

; machine learning and AI in digital healthcare and personalized medicine; evolutionary computation in image analysis, signal processing and pattern;

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Music Data Mining

music mining tasks and algorithms. It also discusses indexing with tags and explains how data can be collected using online human computation;

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Data Mining

Data Mining: Practical Machine Learning Tools and Techniques, Third Edition, offers a thorough grounding in machine learning concepts;

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Trends and Applications in Knowledge Discovery and Data Mining

(MLSDA), Workshop on Biologically Inspired Data Mining Techniques (BDM), Pacific Asia Workshop on Intelligence and Security Informatics (PAISI;

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