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Learning RStudio for R Statistical Computing
If you need to create and manage complex statistical analysis projects, this book could be a catalyst for great things. In clear, practical chapters it teaches you how to employ Rstudio's powerful features to perform R statistical computing.
Overview
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A complete practical tutorial for RStudio, designed...
| | Practical Neo4j
Why have developers at places like Facebook and Twitter increasingly turned to graph databases to manage their highly connected big data? The short answer is that graphs offer superior speed and flexibility to get the job done.
It’s time you added skills in graph databases to your toolkit.... | | |
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An Introduction to Distributed Algorithms"Barbosa makes the otherwise difficult subject of distributed algorithms very enjoyable and attractive to both students and researchers. The leading intuitive discussion of each algorithm is so very well organized and clearly written that a reader can, without the slightest effort, have a clear picture of it. An ideal textbook for an... | | | | Managing and Mining Graph Data (Advances in Database Systems)Managing and Mining Graph Data is a comprehensive survey book in graph data analytics. It contains extensive surveys on important graph topics such as graph languages, indexing, clustering, data generation, pattern mining, classification, keyword search, pattern matching, and privacy. It also studies a number of domain-specific... |
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| | Fundamental Approach to Discrete Mathematics
The salient features of this book include: strong coverage of key topics involving recurrence relation, combinatorics, Boolean algebra, graph theory and fuzzy set theory. Algorithms and examples integrated throughout the book to bring clarity to the fundamental concepts. Each concept and definition is followed by thoughtful examples. There is... | | Multi-Objective Optimization in Computer Networks Using MetaheuristicsMany new multicast applications emerging from the Internet, such as Voice-over-IP (VoIP), videoconference, TV over the Internet, radio over the Internet, video streaming multipoint, etc., have the following resource requirements: bandwidth consumption, end-to-end delay, delay jitter, packet loss ratio, and so forth. It is therefore necessary to... |
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