New Release Books by Balamurugan Balusamy

Balamurugan Balusamy is the author of Advanced Intelligent Predictive Models for Urban Transportation (2022) and Big Data (2021).

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Advanced Intelligent Predictive Models for Urban Transportation

release date: Jan 01, 2022
Advanced Intelligent Predictive Models for Urban Transportation
"Advanced Intelligent Predictive Models for Urban Transportation emphasizes the predictive models of Big Data, Genetic Algorithm, and IoT with a case study. It illustrates the predictive models with integrated fuel consumption models for smart and safe traveling. The text is a coordinated amalgamation of research contributions and industrial applications in the field of Intelligent Transportation Systems. The advanced predictive models and research results were achieved with the case studies, deployed in real transportation environments. Features: provides a smart traffic congestion avoidance system with an integrated fuel consumption model, predicts traffic in short-term and regular (this is illustrated with a case study), explores efficient traffic light controller and deviation system in accordance with the traffic scenario, considers IoT based Intelligent Transport Systems in a Global perspective and intelligent Traffic Light Control System and Ambulance Control System. The text also provides a predictive framework that can handle the traffic on abnormal days, such as weekends, festival holidays. In addition to that, this book focuses on advanced predictive models along with offering an efficient solution for smart traffic management systems. It is a complete framework for ITS domain with the advanced concepts of Big Data Analytics, Genetic Algorithm and IoT. Advanced intelligent predictive models for urban transportation is primarily aimed at IT professionals. Undergraduates, graduates and researchers in the area of computer science and information technology will also find this book useful"--

Big Data

release date: Apr 13, 2021
Big Data
Learn Big Data from the ground up with this complete and up-to-date resource from leaders in the field Big Data: Concepts, Technology, and Architecture delivers a comprehensive treatment of Big Data tools, terminology, and technology perfectly suited to a wide range of business professionals, academic researchers, and students. Beginning with a fulsome overview of what we mean when we say, “Big Data,” the book moves on to discuss every stage of the lifecycle of Big Data. You’ll learn about the creation of structured, unstructured, and semi-structured data, data storage solutions, traditional database solutions like SQL, data processing, data analytics, machine learning, and data mining. You’ll also discover how specific technologies like Apache Hadoop, SQOOP, and Flume work. Big Data also covers the central topic of big data visualization with Tableau, and you’ll learn how to create scatter plots, histograms, bar, line, and pie charts with that software. Accessibly organized, Big Data includes illuminating case studies throughout the material, showing you how the included concepts have been applied in real-world settings. Some of those concepts include: The common challenges facing big data technology and technologists, like data heterogeneity and incompleteness, data volume and velocity, storage limitations, and privacy concerns Relational and non-relational databases, like RDBMS, NoSQL, and NewSQL databases Virtualizing Big Data through encapsulation, partitioning, and isolating, as well as big data server virtualization Apache software, including Hadoop, Cassandra, Avro, Pig, Mahout, Oozie, and Hive The Big Data analytics lifecycle, including business case evaluation, data preparation, extraction, transformation, analysis, and visualization Perfect for data scientists, data engineers, and database managers, Big Data also belongs on the bookshelves of business intelligence analysts who are required to make decisions based on large volumes of information. Executives and managers who lead teams responsible for keeping or understanding large datasets will also benefit from this book.


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