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Data Science

follows: * Part I: Data Science: Theory, Concepts, and Algorithms This part comprises five chapters on data Science theory, concepts;

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Data Science: Theory and Applications

Data Science: Theory and Applications, Volume 44 in the Handbook of Statistics series, highlights new advances in the field, with this;

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Data Science

media and recommendation systems; infrastructure for data science; basic theory and techniques for data science; machine learning for data;

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Data Science

cover the areas of Advancement of Data Science and Smart City Applications, Theory of Data Science, Data Science of People and Health, Web;

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Recent Advances in Data Science

science.- novel data science theory and applications.;

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Extending the Boundaries of Design Science Theory and Practice

selected from 54 submissions. They are organized in the following topical sections: Design Science Research Theory and Methodology; Design Science;

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Data Science and Its Applications

The term data being mostly used, experimented, analyzed, and researched, Data Science and its Applications finds relevance in all;

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Computer Science - Theory and Applications

papers cover a wide range of topics such as algorithms and data structures; combinatorial optimization; constraint solving; computational;

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Secure Data Science: Integrating Cyber Security and Data Science

data science and discusses both theory and practice in secure data science. After an overview of security and privacy for big data services;

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Computer Science - Theory and Applications

broad range of topics, such as: algorithms and data structures; computational complexity, including hardness of approximation and parameterized;

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Enabling Machine Learning Applications in Data Science

research papers with applications, including theory, practical, prototypes, new ideas, case studies and surveys which cover machine learning;

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Data Science with Java

Data Science is booming thanks to R and Python, but Java brings the robustness, convenience, and ability to scale critical to today's data;

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Advanced Data Analytics for Power Systems

Experts in data analytics and power engineering present techniques addressing the needs of modern power systems, covering theory and;

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Data Science and Intelligent Applications

theory and practice concerning emerging technologies in the areas of data science and intelligent applications. The conference provides a forum;

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Trends of Data Science and Applications

provides theory and practices in the area of data science, which add a social, geographical, and temporal dimension to data science research. It;

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Data Science in Theory and Practice - Techniques for Big Data Analytics and Complex Data Sets

DATA SCIENCE IN THEORY AND PRACTICE EXPLORE THE FOUNDATIONS OF DATA SCIENCE WITH THIS INSIGHTFUL NEW RESOURCE Data Science in Theory;

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Control Theory & its Applications

. In this book, the authors present and discuss topical data on control theory relating to these fields.;

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Nature-Inspired Computation and Swarm Intelligence

, computational intelligence, soft computing and data science. Recently, the literature in the field has expanded rapidly, with new algorithms and;

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Enabling AI Applications in Data Science

This book provides a detailed overview of the latest developments and applications in the field of artificial intelligence and data science;

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SOFSEM 2017: Theory and Practice of Computer Science

compositionality; theory of mobile and distributed systems; verification and automated system analysis; petri nets, games and relaxed data structures;

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Statistics for Data Scientists

This book provides an undergraduate introduction to analysing data for data science, computer science, and quantitative social science;

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Principles and Methods for Data Science

, Analysis of microarray gene expression data using information theory and stochastic algorithm, Hybrid Models, Markov Chain Monte Carlo Methods;

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Mathematical Theory and Applications of Error Correcting Codes

Mathematical Theory and Applications of Error-Correcting Codes book presents those concepts of mathematics that continue to reveal;

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Big Data Science in Finance

Explains the mathematics, theory, and methods of Big Data as applied to finance and investing Data science has fundamentally changed;

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Essentials of Data Science and Analytics

This text provides a comprehensive overview of Data Science. With the continued advancement in storage and computing technologies, data;

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Symmetry in Optics and Vision Studies

This book presents an introduction to the foundations, interpretations, and data-analytic applications of symmetry studies with an emphasis;

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Practical Issues of Intelligent Innovations

with the words INTELLIGENT and SECURITY, as such the book discusses the theory and applications of hot topics such as big data, education;

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