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Advances in Computational Algorithms and Data Analysis

Advances in Computational Algorithms and Data Analysis offers state of the art tremendous advances in computational algorithms and data;

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Developing Econometrics

that benefit econometric practice. It deals with exploratory data analysis, a prerequisite to statistical modelling and part of data mining. It;

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Advances in Bioinformatics and Computational Biology

, including sequence analysis; motifs, and pattern matching; biological databases, data management, data integration, and data mining; biomedical text;

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Computational Advances in Bio and Medical Sciences

This book constitutes the proceedings of the 10th International Conference on Computational Advances in Bio and Medical Sciences, ICCABS;

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Recent Advances in Hybrid Metaheuristics for Data Clustering

An authoritative guide to an in-depth analysis of various state-of-the-art data clustering approaches using a range of computational;

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Advances in Swarm and Computational Intelligence

cohesive sections covering all major topics of swarm intelligence and computational intelligence research and development, such as novel swarm;

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Advances in Swarm and Computational Intelligence

cohesive sections covering all major topics of swarm intelligence and computational intelligence research and development, such as novel swarm;

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Advances in Swarm and Computational Intelligence

cohesive sections covering all major topics of swarm intelligence and computational intelligence research and development, such as novel swarm;

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Intelligent Computing Methodologies

; Knowledge Discovery and Data Mining; Natural Language Processing and Computational Linguistics; Advances of Soft Computing: Algorithms and Its;

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Computational Learning Approaches to Data Analytics in Biomedical Applications

Computational Learning Approaches to Data Analytics in Biomedical Applications provides a unified framework for biomedical data analysis;

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Computational Methods for Data Analysis

This graduate text covers a variety of mathematical and statistical tools for the analysis of big data coming from biology, medicine and;

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Computationally Intensive Statistics for Intelligent IoT

of computer resources, and statistical graphics role in data analysis. It also explores computational inferencing and computer model's role in design;

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Advances in Applications of Data Driven Computing

hardware-based systems making a mammoth database, increasing day by day. Recent advances in big data generation and management have created an;

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Advances in Computational Techniques for Biomedical Image Analysis

Advances in Computational Techniques for Biomedical Image Analysis: Methods and Applications focuses on post-acquisition challenges;

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Intelligent Computing Theories and Application

in computational biology; intelligent computing in scheduling; information security; advances in swarm intelligence: algorithms and applications; machine;

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Intelligent Computing Theories and Application

in computational biology; intelligent computing in scheduling; information security; advances in swarm intelligence: algorithms and applications; machine;

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Intelligent Computing Methodologies

in computational biology; intelligent computing in scheduling; information security; advances in swarm intelligence: algorithms and applications; machine;

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Algorithms and Complexity

, design, analysis and experimentation of efficient algorithms and data structures. The papers present original research in the theory and;

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Advances in High Performance Computing

computing. The topics of interest included into this volume are: HP software tools, Parallel Algorithms and Scalability, HPC in Big Data analytics;

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Advances in Computational and Bio-Engineering

of computational models and simulations often coupled with high-performance computing to solve complex physical problems arising in engineering analysis;

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Advances in Computational and Bio-Engineering

of computational models and simulations often coupled with high-performance computing to solve complex physical problems arising in engineering analysis;

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Financial Decision Making Using Computational Intelligence

The increasing complexity of financial problems and the enormous volume of financial data often make it difficult to apply traditional;

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Computational Science - ICCS 2020

Part III: Advances in High-Performance Computational Earth Sciences: Applications and Frameworks; Agent-Based Simulations, Adaptive Algorithms;

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Computational Science - ICCS 2020

: Advances in High-Performance Computational Earth Sciences: Applications and Frameworks; Agent-Based Simulations, Adaptive Algorithms and Solvers;

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Computational Science - ICCS 2020

Part III: Advances in High-Performance Computational Earth Sciences: Applications and Frameworks; Agent-Based Simulations, Adaptive Algorithms;

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Computational Science - ICCS 2020

Part III: Advances in High-Performance Computational Earth Sciences: Applications and Frameworks; Agent-Based Simulations, Adaptive Algorithms;

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Computational Science - ICCS 2020

: Advances in High-Performance Computational Earth Sciences: Applications and Frameworks; Agent-Based Simulations, Adaptive Algorithms and Solvers;

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