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Handbook of Data Structures and Applications Chapman HallCRC Computer and Information Science Series

The Handbook of Data Structures and Applications was first published over a decade ago. This second edition aims to update the first by;

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International e-Conference on Computer Science (IeCCS 2005)

and to attract original research papers. This volume in the Lecture Series on Computer and Computational Sciences contains the extended;

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The Essentials of Data Science Knowledge Discovery Using R Chapman HallCRC The R Series

tasks and datasets. The book begins by introducing data science. It then reviews R's capabilities for analysing data by writing computer;

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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 Structures With Java

For freshman-, sophomore-, or junior-level courses in Computer Science, Data Structures, and Algorithms in the departments of Computer;

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Handbook of Data Structures and Applications

The Handbook of Data Structures and Applications was first published over a decade ago. This second edition aims to update the first by;

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R Primer Chapman HallCRC The R Series

of importing data and performing a simple statistical analysis. The R Primer provides a collection of concise examples and solutions to R problems;

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Intelligent Information and Database Systems

Learning; Sensor Networks and Internet of Things; Intelligent Information Systems; Data Structures Modeling for Knowledge Representation; Modeling;

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Advances in Computing Systems and Applications

of contributions in emerging topics in computer science and information technology * Covers artificial intelligence, data science, computer networks;

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Handbook of Computational Visual Media

processing of visual information that can have commercial advantages. It can be accomplished if this data can be understood, systematically managed;

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Principles and Methods for Data Science

Principles and Methods for Data Science, Volume 43 in the Handbook of Statistics series, highlights new advances in the field, with;

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Advances in Computational Science, Engineering and Information Technology

cover five main areas: algorithms, data structures and applications; wireless and mobile networks; computer networks and communications; natural;

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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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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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Data Science and Its Applications

information from data, and insight for developing the concept from different domains, highlighting mathematical and statistical models, operations;

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Cognitive Informatics, Computer Modelling, and Cognitive Science

Cognitive Informatics, Computer Modelling, and Cognitive Science: Theory, Case Studies, and Applications presents the theoretical;

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New Results and New Trends in Computer Science

of data networks, object-oriented artificial intelligence, problems in data structures and sorting, aspects;

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Handbook of Research on Engineering, Business, and Healthcare Applications of Data Science and Analytics

, and systems used to extract information from data and solve complex problems, various sectors have reached new heights and have changed our;

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Handbook of Data Science Approaches for Biomedical Engineering

., biomedical engineering, computer science, information security, and interdisciplinary tools, along with modern tools and the technologies used are;

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Algorithms and Data Structures in C++

Algorithms and Data Structures in C++ introduces modern issues in the theory of algorithms, emphasizing complexity, graphs, parallel;

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C++ Plus Data Structures

that clarify abstract concepts, and approaches the study of data structures with emphasis on computer science theory and software engineering;

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Advanced Data Structures

Advanced data structures is a core course in Computer Science which most graduate program in Computer Science, Computer Science and;

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Information Sciences and Systems 2015

The 30th Anniversary of the ISCIS (International Symposium on Computer and Information Sciences) series of conferences, started by;

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Big Data, Cloud Computing, and Data Science Engineering

book discusses all aspects (theory, applications and tools) of computer and information science, the practical challenges encountered along the;

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Information Sciences and Systems 2015

The 30th Anniversary of the ISCIS (International Symposium on Computer and Information Sciences) series of conferences, started by;

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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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Handbook of Research on Automated Feature Engineering and Advanced Applications in Data Science

, and attempting to unfold the meaningful information, can be a challenging task. Feature engineering is a process to transform such data into a;

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