Twitter Data Analytics

Author: Shamanth Kumar
Publisher: Springer Science & Business Media
ISBN: 1461493722
Size: 46.35 MB
Format: PDF, ePub, Mobi
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Twitter Data Analytics from the Author: Shamanth Kumar. This brief provides methods for harnessing Twitter data to discover solutions to complex inquiries. The brief introduces the process of collecting data through Twitter’s APIs and offers strategies for curating large datasets. The text gives examples of Twitter data with real-world examples, the present challenges and complexities of building visual analytic tools, and the best strategies to address these issues. Examples demonstrate how powerful measures can be computed using various Twitter data sources. Due to its openness in sharing data, Twitter is a prime example of social media in which researchers can verify their hypotheses, and practitioners can mine interesting patterns and build their own applications. This brief is designed to provide researchers, practitioners, project managers, as well as graduate students with an entry point to jump start their Twitter endeavors. It also serves as a convenient reference for readers seasoned in Twitter data analysis.

Big Data Analytics

Author: V. B. Aggarwal
Publisher: Springer
ISBN: 9811066205
Size: 79.18 MB
Format: PDF
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Big Data Analytics from the Author: V. B. Aggarwal. This volume comprises the select proceedings of the annual convention of the Computer Society of India. Divided into 10 topical volumes, the proceedings present papers on state-of-the-art research, surveys, and succinct reviews. The volumes cover diverse topics ranging from communications networks to big data analytics, and from system architecture to cyber security. This volume focuses on Big Data Analytics. The contents of this book will be useful to researchers and students alike.

Computational Intelligence Communications And Business Analytics

Author: J. K. Mandal
Publisher: Springer
ISBN: 981106427X
Size: 60.27 MB
Format: PDF, ePub, Docs
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Computational Intelligence Communications And Business Analytics from the Author: J. K. Mandal. The two volume set CCIS 775 and 776 constitutes the refereed proceedings of the First International Conference on Computational Intelligence, Communications, and Business Analytics, CICBA 2017, held in Kolkata, India, in March 2017. The 90 revised full papers presented in the two volumes were carefully reviewed and selected from 276 submissions. The papers are organized in topical sections on data science and advanced data analytics; signal processing and communications; microelectronics, sensors, intelligent networks; computational forensics (privacy and security); computational intelligence in bio-computing; computational intelligence in mobile and quantum computing; intelligent data mining and data warehousing; computational intelligence.

Data Analytics For Intelligent Transportation Systems

Author: Mashrur Chowdhury
Publisher: Elsevier
ISBN: 0128098511
Size: 24.72 MB
Format: PDF, ePub, Mobi
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Data Analytics For Intelligent Transportation Systems from the Author: Mashrur Chowdhury. Data Analytics for Intelligent Transportation Systems provides in-depth coverage of data-enabled methods for analyzing intelligent transportation systems that includes detailed coverage of the tools needed to implement these methods using big data analytics and other computing techniques. The book examines the major characteristics of connected transportation systems, along with the fundamental concepts of how to analyze the data they produce. It explores collecting, archiving, processing, and distributing the data, designing data infrastructures, data management and delivery systems, and the required hardware and software technologies. Users will learn how to design effective data visualizations, tactics on the planning process, and how to evaluate alternative data analytics for different connected transportation applications, along with key safety and environmental applications for both commercial and passenger vehicles, data privacy and security issues, and the role of social media data in traffic planning. Includes case studies in each chapter that illustrate the application of concepts covered Presents extensive coverage of existing and forthcoming intelligent transportation systems and data analytics technologies Contains contributors from both leading academic and commercial researchers Explains how to design effective data visualizations, tactics on the planning process, and how to evaluate alternative data analytics for different connected transportation applications

Big Data Analytics

Author: Srinath Srinivasa
Publisher: Springer
ISBN: 3319138200
Size: 23.60 MB
Format: PDF, Kindle
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Big Data Analytics from the Author: Srinath Srinivasa. This book constitutes the refereed conference proceedings of the Third International Conference on Big Data Analytics, BDA 2014, held in New Delhi, India, in December 2014. The 11 revised full papers and 6 short papers were carefully reviewed and selected from 35 submissions and cover topics on media analytics; geospatial big data; semantics and data models; search and retrieval; graphics and visualization; application-specific big data.

Big Data Analytics In The Social And Ubiquitous Context

Author: Martin Atzmueller
Publisher: Springer
ISBN: 3319290096
Size: 62.76 MB
Format: PDF, ePub, Mobi
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Big Data Analytics In The Social And Ubiquitous Context from the Author: Martin Atzmueller. The 9 papers presented in this book are revised and significantly extended versions of papers submitted to three related workshops: The 5th International Workshop on Mining Ubiquitous and Social Environments, MUSE 2014, and the First International Workshop on Machine Learning for Urban Sensor Data, SenseML 2014, which were held on September 15, 2014, in conjunction with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2014) in Nancy, France; and the 5th International Workshop on Modeling Social Media (MSM 2014) that was held on April 8, 2014 in conjunction with ACM WWW in Seoul, Korea.

Big Data Analytics Using Splunk

Author: Peter Zadrozny
Publisher: Apress
ISBN: 143025761X
Size: 42.61 MB
Format: PDF, ePub, Docs
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Big Data Analytics Using Splunk from the Author: Peter Zadrozny. A hands-on book showing how to process and derive business value from big data in real time. Examples in the book draw from social media sources such as Twitter (tweets) and Foursquare (check-ins). You also learn to draw from machine data, enabling you to analyze web server log files and patterns of user access in real time, as the access is occurring.

Applying Big Data Analytics In Bioinformatics And Medicine

Author: Lytras, Miltiadis D.
Publisher: IGI Global
ISBN: 1522526080
Size: 30.87 MB
Format: PDF, Docs
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Applying Big Data Analytics In Bioinformatics And Medicine from the Author: Lytras, Miltiadis D.. Many aspects of modern life have become personalized, yet healthcare practices have been lagging behind in this trend. It is now becoming more common to use big data analysis to improve current healthcare and medicinal systems, and offer better health services to all citizens. Applying Big Data Analytics in Bioinformatics and Medicine is a comprehensive reference source that overviews the current state of medical treatments and systems and offers emerging solutions for a more personalized approach to the healthcare field. Featuring coverage on relevant topics that include smart data, proteomics, medical data storage, and drug design, this publication is an ideal resource for medical professionals, healthcare practitioners, academicians, and researchers interested in the latest trends and techniques in personalized medicine.

Analytics And Data Science

Author: Amit V. Deokar
Publisher: Springer
ISBN: 3319580973
Size: 37.76 MB
Format: PDF, Mobi
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Analytics And Data Science from the Author: Amit V. Deokar. This book explores emerging research and pedagogy in analytics and data science that have become core to many businesses as they work to derive value from data. The chapters examine the role of analytics and data science to create, spread, develop and utilize analytics applications for practice. Selected chapters provide a good balance between discussing research advances and pedagogical tools in key topic areas in analytics and data science in a systematic manner. This book also focuses on several business applications of these emerging technologies in decision making, i.e., business analytics. The chapters in Analytics and Data Science: Advances in Research and Pedagogy are written by leading academics and practitioners that participated at the Business Analytics Congress 2015. Applications of analytics and data science technologies in various domains are still evolving. For instance, the explosive growth in big data and social media analytics requires examination of the impact of these technologies and applications on business and society. As organizations in various sectors formulate their IT strategies and investments, it is imperative to understand how various analytics and data science approaches contribute to the improvements in organizational information processing and decision making. Recent advances in computational capacities coupled by improvements in areas such as data warehousing, big data, analytics, semantics, predictive and descriptive analytics, visualization, and real-time analytics have particularly strong implications on the growth of analytics and data science.

Data Science And Big Data Analytics

Author: EMC Education Services
Publisher: John Wiley & Sons
ISBN: 1118876229
Size: 62.73 MB
Format: PDF
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Data Science And Big Data Analytics from the Author: EMC Education Services. Data Science and Big Data Analytics is about harnessing the power of data for new insights. The book covers the breadth of activities and methods and tools that Data Scientists use. The content focuses on concepts, principles and practical applications that are applicable to any industry and technology environment, and the learning is supported and explained with examples that you can replicate using open-source software. This book will help you: Become a contributor on a data science team Deploy a structured lifecycle approach to data analytics problems Apply appropriate analytic techniques and tools to analyzing big data Learn how to tell a compelling story with data to drive business action Prepare for EMC Proven Professional Data Science Certification Corresponding data sets are available at Get started discovering, analyzing, visualizing, and presenting data in a meaningful way today!