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 |  |  Graphs and Networks: Multilevel Modeling
Completely updated and containing two new chapters, this title covers spatial analysis and urban management using graph theory simulation. Highly practical, the simulation approach allows readers to solve classic problems such as placement of high-speed roads, the capacity of a network, pollution emission control, and more. ... |  |  Neuroplasticity, Development, and Steroid Hormone Action
Neuroplasticity, Development, and Steroid Hormone Action explores the effects of steroid hormones on brain development, function, and aging and is a compilation of cutting-edge research of concern to the disciplines of neurobiology, neuroendocrinology, endocrinology, and developmental biology. The experimental approaches covered range from... |
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 |  |  |  |  Big Data SMACK: A Guide to Apache Spark, Mesos, Akka, Cassandra, and Kafka
Learn how to integrate full-stack open source big data architecture and to choose the correct technologyâScala/Spark, Mesos, Akka, Cassandra, and Kafkaâin every layer.
Big data architecture is becoming a requirement for many different enterprises. So far, however, the focus has largely been on collecting,... |
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 Microeconomics (7th Edition)
KEY BENEFIT: This book is well known for its coverage of modern topics (Game theory, Economics of Information, and Behavioral Economics), clarity of its writing style and graphs, and integrated use of real world examples.
KEY TOPICS: The emphasis on relevance and application to... |  |  Building Web Applications with SVG (Developer Reference)
Create rich interactivity with Scalable Vector Graphics (SVG)
Dive into SVG—and build striking, interactive visuals for your web applications. Led by three SVG experts, you’ll learn step-by-step how to use SVG techniques for animation, overlays, and dynamic charts and graphs. Then you’ll put it... |  |  Data Mining & Statistical Analysis Using SQL
This book is not just another theoretical text about statistics or data mining. No, instead it is aimed for database administrators who want to use SQL or bolster their understanding of statistics to support data mining and customer relationship management analytics.
Each chapter is self-contained, with examples tailored to real... |
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