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Beginning Xamarin Development for the Mac: Create iOS, watchOS, and Apple tvOS apps with Xamarin.iOS and Visual Studio for Mac
by Dawid BoryckiDevelop apps for the iPhone, iPad, and Apple wearables using Visual Studio for the Mac. Learn how to set up your development environment and emulators, and how to create adaptive user interfaces for various platforms. Expert Dawid Borycki guides you through the fundamentals of programming for Apple platforms (Model View Controller, Test Driven Development), navigation patterns, gesture handling, accessing user's location, and reading and consuming data from web services. After reading this book, you will be able to build native apps that look and feel like other apps built into iOS, watchOS, and tvOS, and have the skills that are in high demand in today's market. If you are already programming C# apps for web or desktop, you will learn how to extend your skill set to Apple mobile, wearable, and smart TV platforms. What You'll Learn Build and implement native apps for Apple platforms Create adaptive, universal views and handle navigation between them Access user's location and handle touch input Consume data from web services Minimize app development time with C# Who This Book Is For Developers who are interested in mobile and device development, as well as experienced non-Apple developers who want to switch or extend their skill set to programming for Apple platforms
Behavior Engineering and Applications (International Series on Computer Entertainment and Media Technology)
by Raymond Wong Chi-Hung Chi Patrick C. HungMany industrial applications built today are increasingly using emerging behavior engineering technologies: this book looks at various research and practical issues for researchers and students working in computer science and engineering, and for industry technology providers interested in behavior engineering and applications. Behavior Engineering and Applications encompasses intelligent and efficient computational solutions, including models, architectures, algorithms and specific applications, focused on processing, discovering, understanding and analyzing the behavior captured by the above data. Focusing on applying any engineering paradigm to systemically process, discover, understand and analyze these data, this book also addresses problems in a variety of areas and applications that related to behavior engineering.This book includes chapters derived from selected papers from The 2016 International Conference on Behavior Engineering (ICBE), as well as separate contributions the editors selected cutting-edge research related to behavior engineering.
Belief Functions: 5th International Conference, BELIEF 2018, Compiègne, France, September 17-21, 2018, Proceedings (Lecture Notes in Computer Science #11069)
by Sébastien Destercke Thierry Denoeux Fabio Cuzzolin Arnaud MartinThis book constitutes the refereed proceedings of the 5th International Conference on Belief Functions, BELIEF 2018, held in Compiègne, France, in September 2018.The 33 revised regular papers presented in this book were carefully selected and reviewed from 73 submissions. The papers were solicited on theoretical aspects (including for example statistical inference, mathematical foundations, continuous belief functions) as well as on applications in various areas including classification, statistics, data fusion, network analysis and intelligent vehicles.
Beneath the Blocks: An Unofficial Minecrafters Mysteries Series, Book Two (Unofficial Minecraft Mysteries #2)
by Winter MorganAfter solving the mystery of the stolen treasure, Edison is all set to return to his alchemy, when his friend Omar shows up at his door pleading for help. There is something or someone living beneath the blocks of Omar’s town, and things have started to take a treacherous turn. What started out as the theft of livestock and wheat has escalated, and now villagers have started to go missing as well.Edison tries to convince Omar that he’s not a good fit for the job—as he only solved a local robbery—and sends his friend on his way. But a few days later, Amira arrives with bad news—Omar is the latest villager to disappear. Consumed by guilt, Edison recruits Billy and they set off to rescue Omar and face the mysterious villain lurking beneath the blocks!Join Edison and Billy as they race to save the lost villagers in the second installment of the Unofficial Minecraft Mystery series!
Best Practices für die Partizipation in der Produktentwicklung: HMD Best Paper Award 2017 (essentials)
by Sebastian Rohmann Matthias SchumannUnternehmen haben das Innovationspotenzial der eigenen Mitarbeiter auch außerhalb der F&E-Abteilung erkannt und eigene unternehmensinterne Innovations-Communities, auf Basis sog. Enterprise-Social-Software-Plattformen (ESSPs), implementiert. Viele Initiativen scheitern in der Praxis jedoch häufig aufgrund einer fehlenden oder zu geringen Partizipation der Mitarbeiter. Die mit den Maßnahmen erhofften Ziele werden dadurch oft nicht erreicht. In diesem essential werden die wesentlichen Problemfelder der mitarbeiterzentrierten Produktentwicklung beschrieben und Handlungsempfehlungen aus der Praxis aufgezeigt. Die AutorenSebastian Rohmann war wissenschaftlicher Mitarbeiter sowie Doktorand an der Professur für Anwendungssysteme und E-Business der Universität Göttingen und ist nun als strategischer Projektmanager tätig.Prof. Dr. Matthias Schumann ist Inhaber der Professur für Anwendungssysteme und E-Business an der Universität Göttingen.
Betrayal at Salty Springs: An Unofficial Fortnite Novel (Trapped In Battle Royale #3)
by Devin HunterGrey has improved a ton with the help of his friends, and he’s closing in on the top tier of players. But then his closest friend announces that he’s been asked to join a new squad on the top tier and leaves them in hopes of making the top five with his new squad. Grey is devastated, and their play struggles. He falls back several ranks and begins to wonder if it’s even possible to escape the game this season. Some players have been there for many seasons…some aren’t even trying to leave because they like it so much. Maybe he should just accept it as his life. A former rival tells him to snap out of it—he’s too good to slide back so far. They end up in a squad and do well enough to scale the ranks again. Grey has a chance to screw over his old Ally/Friend by taking his place on the Top Tier team, but will he?
Beyond Artificial Intelligence: From Human Consciousness to Artificial Consciousness
by Alain CardonThis book will present a complete modeling of the human psychic system that allows to generate the thoughts in a strictly organizational approach that mixes a rising and falling approach. The model will present the architecture of the psychic system that can generate sensations and thoughts, showing how one can feel thoughts. The model developed into an organizational architecture based on massive multiagent systems. The architecture will be fully developed, showing how an artificial system can be endowed with consciousness and intentionally generate thoughts and, especially, feel them. These results are multidisciplinary, combining both psychology and computer science disciplines.
Beyond Databases, Architectures and Structures. Facing the Challenges of Data Proliferation and Growing Variety: 14th International Conference, BDAS 2018, Held at the 24th IFIP World Computer Congress, WCC 2018, Poznan, Poland, September 18-20, 2018, Proceedings (Communications in Computer and Information Science #928)
by Stanisław Kozielski Dariusz Mrozek Paweł Kasprowski Bożena Małysiak-Mrozek Daniel KostrzewaThis book constitutes the refereed proceedings of the 14th International Conference entitled Beyond Databases, Architectures and Structures, BDAS 2018, held in Poznań, Poland, in September 2018, during the IFIP World Computer Congress.It consists of 38 carefully reviewed papers selected from 102 submissions. The papers are organized in topical sections, namely big data and cloud computing; architectures, structures and algorithms for efficient data processing; artificial intelligence, data mining and knowledge discovery; text mining, natural language processing, ontologies and semantic web; image analysis and multimedia mining.
Beyond Spreadsheets with R: A beginner's guide to R and RStudio
by Jonathan CarrollSummaryBeyond Spreadsheets with R shows you how to take raw data and transform it for use in computations, tables, graphs, and more. You'll build on simple programming techniques like loops and conditionals to create your own custom functions. You'll come away with a toolkit of strategies for analyzing and visualizing data of all sorts using R and RStudio.Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.About the TechnologySpreadsheets are powerful tools for many tasks, but if you need to interpret, interrogate, and present data, they can feel like the wrong tools for the task. That's when R programming is the way to go. The R programming language provides a comfortable environment to properly handle all types of data. And within the open source RStudio development suite, you have at your fingertips easy-to-use ways to simplify complex manipulations and create reproducible processes for analysis and reporting.About the BookWith Beyond Spreadsheets with R you'll learn how to go from raw data to meaningful insights using R and RStudio. Each carefully crafted chapter covers a unique way to wrangle data, from understanding individual values to interacting with complex collections of data, including data you scrape from the web. You'll build on simple programming techniques like loops and conditionals to create your own custom functions. You'll come away with a toolkit of strategies for analyzing and visualizing data of all sorts.What's insideHow to start programming with R and RStudioUnderstanding and implementing important R structures and operatorsInstalling and working with R packagesTidying, refining, and plotting your dataAbout the ReaderIf you're comfortable writing formulas in Excel, you're ready for this book.About the AuthorDr Jonathan Carroll is a data science consultant providing R programming services. He holds a PhD in theoretical physics.Table of ContentsIntroducing data and the R languageGetting to know R data typesMaking new data valuesUnderstanding the tools you'll use: FunctionsCombining data valuesSelecting data valuesDoing things with lots of dataDoing things conditionally: Control structuresVisualizing data: PlottingDoing more with your data with extensions
Bidirectional Transformations: International Summer School, Oxford, Uk, July 25-29, 2016, Tutorial Lectures (Lecture Notes in Computer Science #9715)
by Jeremy Gibbons Perdita StevensBidirectional transformations (BX) are means of maintaining consistency between multiple information sources: when one source is edited, the others may need updating to restore consistency. BX have applications in databases, user interface design, model-driven development, and many other domains. This volume represents the lecture notes from the Summer School on Bidirectional Transformations, held in Oxford, UK, in July 2016. The school was one of the final activities on the project "A Theory of Least Change for Bidirectional Transformations", running at the University of Oxford and the University of Edinburgh from 2013 to 2017 and funded by the UK Engineering and Physical Sciences Research Council. The five chapters included in this volume are a record of most of the material presented at the summer school. After a comprehensive introduction to bidirectional transformations, they deal with triple graph grammars, modular edit lenses, putback-based bidirectional programming, and engineering of bidirectional transformations.
Big Data: 6th CCF Conference, Big Data 2018, Xi'an, China, October 11-13, 2018, Proceedings (Communications in Computer and Information Science #945)
by Zongben Xu Xinbo Gao Qiguang Miao Yunquan Zhang Jiajun BuThis volume constitutes the proceedings of the 6th CCF Conference, Big Data 2018, held in Xi'an, China, in October 2018. The 32 revised full papers presented in this volume were carefully reviewed and selected from 880 submissions. The papers are organized in topical sections on natural language processing and text mining; big data analytics and smart computing; big data applications; the application of big data in machine learning; social networks and recommendation systems; parallel computing and storage of big data; data quality control and data governance; big data system and management.
Big Data – BigData 2018: 7th International Congress, Held as Part of the Services Conference Federation, SCF 2018, Seattle, WA, USA, June 25–30, 2018, Proceedings (Lecture Notes in Computer Science #10968)
by Francis Y. L. Chin C. L. Philip Chen Latifur Khan Kisung Lee Liang-Jie ZhangThis volume constitutes the proceedings of the 7th International Conference on BIGDATA 2018, held as Part of SCF 2018 in Seattle, WA, USA in June 2018.The 22 full papers together with 10 short papers published in this volume were carefully reviewed and selected from 97 submissions. They are organized in topical sections such as Data analysis, data as a service, services computing, data conversion, data storage, data centers, dataflow architectures, data compression, data exchange, data modeling, databases, and data management.
Big Data Analytics: Proceedings of CSI 2015 (Advances in Intelligent Systems and Computing #654)
by Vasudha Bhatnagar Durgesh Kumar Mishra V. B. AggarwalThis 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.
Big Data Analytics: A Social Network Approach (Studies in Big Data #30)
by Aboul Hassanien Mrutyunjaya Panda Ajith AbrahamSocial networking has increased drastically in recent years, resulting in an increased amount of data being created daily. Furthermore, diversity of issues and complexity of the social networks pose a challenge in social network mining. Traditional algorithm software cannot deal with such complex and vast amounts of data, necessitating the development of novel analytic approaches and tools. This reference work deals with social network aspects ofbig data analytics. It covers theory, practices and challenges in social networking. The book spans numerous disciplines like neural networking, deep learning, artificial intelligence, visualization, e-learning in higher education, e-healthcare, security and intrusion detection.
Big Data Analytics: 6th International Conference, BDA 2018, Warangal, India, December 18–21, 2018, Proceedings (Lecture Notes in Computer Science #11297)
by Anirban Mondal Himanshu Gupta Jaideep Srivastava P. Krishna Reddy D. V. L. N. SomayajuluThis book constitutes the refereed proceedings of the 6th International Conference on Big Data analytics, BDA 2018, held in Warangal, India, in December 2018. The 29 papers presented in this volume were carefully reviewed and selected from 93 submissions. The papers are organized in topical sections named: big data analytics: vision and perspectives; financial data analytics and data streams; web and social media data; big data systems and frameworks; predictive analytics in healthcare and agricultural domains; and machine learning and pattern mining.
Big Data Analytics and Knowledge Discovery: 20th International Conference, DaWaK 2018, Regensburg, Germany, September 3–6, 2018, Proceedings (Lecture Notes in Computer Science #11031)
by Carlos Ordonez Ladjel BellatrecheThis book constitutes the refereed proceedings of the 20th International Conference on Big Data Analytics and Knowledge Discovery, DaWaK 2018, held in Regensburg, Germany, in September 2018.The 13 revised full papers and 17 short papers presented were carefully reviewed and selected from 76 submissions. The papers are organized in the following topical sections: Graph analytics; case studies; classification and clustering; pre-processing; sequences; cloud and database systems; and data mining.
Big Data Analytics in Cybersecurity (Data Analytics Applications)
by Onur Savas Julia DengBig data is presenting challenges to cybersecurity. For an example, the Internet of Things (IoT) will reportedly soon generate a staggering 400 zettabytes (ZB) of data a year. Self-driving cars are predicted to churn out 4000 GB of data per hour of driving. Big data analytics, as an emerging analytical technology, offers the capability to collect, store, process, and visualize these vast amounts of data. Big Data Analytics in Cybersecurity examines security challenges surrounding big data and provides actionable insights that can be used to improve the current practices of network operators and administrators. Applying big data analytics in cybersecurity is critical. By exploiting data from the networks and computers, analysts can discover useful network information from data. Decision makers can make more informative decisions by using this analysis, including what actions need to be performed, and improvement recommendations to policies, guidelines, procedures, tools, and other aspects of the network processes. Bringing together experts from academia, government laboratories, and industry, the book provides insight to both new and more experienced security professionals, as well as data analytics professionals who have varying levels of cybersecurity expertise. It covers a wide range of topics in cybersecurity, which include: Network forensics Threat analysis Vulnerability assessment Visualization Cyber training. In addition, emerging security domains such as the IoT, cloud computing, fog computing, mobile computing, and cyber-social networks are examined. The book first focuses on how big data analytics can be used in different aspects of cybersecurity including network forensics, root-cause analysis, and security training. Next it discusses big data challenges and solutions in such emerging cybersecurity domains as fog computing, IoT, and mobile app security. The book concludes by presenting the tools and datasets for future cybersecurity research.
Big Data Analytics with Hadoop 3: Build highly effective analytics solutions to gain valuable insight into your big data
by Sridhar AllaExplore big data concepts, platforms, analytics, and their applications using the power of Hadoop 3Key FeaturesLearn Hadoop 3 to build effective big data analytics solutions on-premise and on cloudIntegrate Hadoop with other big data tools such as R, Python, Apache Spark, and Apache FlinkExploit big data using Hadoop 3 with real-world examplesBook DescriptionApache Hadoop is the most popular platform for big data processing, and can be combined with a host of other big data tools to build powerful analytics solutions. Big Data Analytics with Hadoop 3 shows you how to do just that, by providing insights into the software as well as its benefits with the help of practical examples.Once you have taken a tour of Hadoop 3’s latest features, you will get an overview of HDFS, MapReduce, and YARN, and how they enable faster, more efficient big data processing. You will then move on to learning how to integrate Hadoop with the open source tools, such as Python and R, to analyze and visualize data and perform statistical computing on big data. As you get acquainted with all this, you will explore how to use Hadoop 3 with Apache Spark and Apache Flink for real-time data analytics and stream processing. In addition to this, you will understand how to use Hadoop to build analytics solutions on the cloud and an end-to-end pipeline to perform big data analysis using practical use cases.By the end of this book, you will be well-versed with the analytical capabilities of the Hadoop ecosystem. You will be able to build powerful solutions to perform big data analytics and get insight effortlessly.What you will learnExplore the new features of Hadoop 3 along with HDFS, YARN, and MapReduceGet well-versed with the analytical capabilities of Hadoop ecosystem using practical examplesIntegrate Hadoop with R and Python for more efficient big data processing Learn to use Hadoop with Apache Spark and Apache Flink for real-time data analyticsSet up a Hadoop cluster on AWS cloudPerform big data analytics on AWS using Elastic Map ReduceWho this book is forBig Data Analytics with Hadoop 3 is for you if you are looking to build high-performance analytics solutions for your enterprise or business using Hadoop 3’s powerful features, or you’re new to big data analytics. A basic understanding of the Java programming language is required.
Big Data and Analytics Applications in Government: Current Practices and Future Opportunities (Data Analytics Applications)
by Gregory RichardsWithin this context, big data analytics (BDA) can be an important tool given that many analytic techniques within the big data world have been created specifically to deal with complexity and rapidly changing conditions. The important task for public sector organizations is to liberate analytics from narrow scientific silos and expand it across internally to reap maximum benefit across their portfolios of programs. This book highlights contextual factors important to better situating the use of BDA within government organizations and demonstrates the wide range of applications of different BDA techniques. It emphasizes the importance of leadership and organizational practices that can improve performance. It explains that BDA initiatives should not be bolted on but should be integrated into the organization’s performance management processes. Equally important, the book includes chapters that demonstrate the diversity of factors that need to be managed to launch and sustain BDA initiatives in public sector organizations.
Big Data and Computational Intelligence in Networking
by Yulei Wu Fei Hu Geyong Min Albert Y. ZomayaThis book presents state-of-the-art solutions to the theoretical and practical challenges stemming from the leverage of big data and its computational intelligence in supporting smart network operation, management, and optimization. In particular, the technical focus covers the comprehensive understanding of network big data, efficient collection and management of network big data, distributed and scalable online analytics for network big data, and emerging applications of network big data for computational intelligence.
Big Data Architect’s Handbook: A guide to building proficiency in tools and systems used by leading big data experts
by Syed Muhammad AkhtarA comprehensive end-to-end guide that gives hands-on practice in big data and Artificial IntelligenceKey FeaturesLearn to build and run a big data application with sample codeExplore examples to implement activities that a big data architect performsUse Machine Learning and AI for structured and unstructured dataBook DescriptionThe big data architects are the “masters” of data, and hold high value in today’s market. Handling big data, be it of good or bad quality, is not an easy task. The prime job for any big data architect is to build an end-to-end big data solution that integrates data from different sources and analyzes it to find useful, hidden insights.Big Data Architect’s Handbook takes you through developing a complete, end-to-end big data pipeline, which will lay the foundation for you and provide the necessary knowledge required to be an architect in big data. Right from understanding the design considerations to implementing a solid, efficient, and scalable data pipeline, this book walks you through all the essential aspects of big data. It also gives you an overview of how you can leverage the power of various big data tools such as Apache Hadoop and ElasticSearch in order to bring them together and build an efficient big data solution.By the end of this book, you will be able to build your own design system which integrates, maintains, visualizes, and monitors your data. In addition, you will have a smooth design flow in each process, putting insights in action.What you will learn Learn Hadoop Ecosystem and Apache projects Understand, compare NoSQL database and essential software architecture Cloud infrastructure design considerations for big data Explore application scenario of big data tools for daily activities Learn to analyze and visualize results to uncover valuable insights Build and run a big data application with sample code from end to end Apply Machine Learning and AI to perform big data intelligence Practice the daily activities performed by big data architectsWho this book is forBig Data Architect’s Handbook is for you if you are an aspiring data professional, developer, or IT enthusiast who aims to be an all-round architect in big data. This book is your one-stop solution to enhance your knowledge and carry out easy to complex activities required to become a big data architect.
Big Data, Cloud and Applications: Third International Conference, Bdca 2018, Kenitra, Morocco, April 4-5, 2018, Revised Selected Papers (Communications In Computer And Information Science #872)
by Youness Tabii Mohamed Lazaar Mohammed Al Achhab Nourddine EnneyaThis book constitutes the thoroughly refereed proceedings of the Third International Conference on Big Data, Cloud and Applications, BDCA 2018, held in Kenitra, Morocco, in April 2018.The 45 revised full papers presented in this book were carefully selected from 99 submissions with a thorough double-blind review process. They focus on the following topics: big data, cloud computing, machine learning, deep learning, data analysis, neural networks, information system and social media, image processing and applications, and natural language processing.
Big Data for Urban Sustainability
by Stephen Jia Wang Patrick MoriartyThis book presents a practical framework for the application of big data, cloud, and pervasive and complex systems to sustainable solutions for urban environmental challenges. It covers the technologies, potential, and possible and impact of big data on energy efficiency and the urban environment.The book first introduces key aspects of big data, cloud services, pervasive computing, and mobile technologies from a pragmatic design perspective, including sample open source firmware. Cloud services, mobile and embedded platforms, interfaces, operating system design methods, networking, and middleware are all considered. The authors then explore in detail the framework, design principles, architecture and key components of developing energy systems to support sustainable urban environments. The included case study provides a pathway to improve the eco-efficiency of urban transport, demonstrating how to design an energy efficient next generation urban navigation system by leveraging vast cloud data sets on user-behavior. Ultimately, this resource maps big data’s pivotal intersection with rapid global urbanization along the path to a sustainable future.
Big Data im Gesundheitswesen kompakt: Konzepte, Lösungen, Visionen (It Kompakt Ser.)
by Holm Landrock Andreas GadatschDas kompakte Fachbuch gibt einen Überblick über die Möglichkeiten von „Big Data“ im Gesundheitswesen und beschreibt anhand von ausgewählten Szenarien mögliche Einsatzgebiete.Die Autoren erläutern zentrale Systemkomponenten und IT-Standards und thematisieren anhand wichtiger Daten des Gesundheitswesens die Notwendigkeit der Strukturierung und Modellierung von Daten. Das Buch gibt Hinweise wie Geschäftsprozesse im Gesundheitswesen dokumentiert, analysiert und verbessert werden können. Anwendungsszenarien, wie die Datenanalysen für Krankenhäuser, Labore, Versicherungen und die Pharmaindustrie, zeigen die praktische Relevanz des Themas. Aber auch rechtliche und ethische Aspekte werden inhaltlich angeschnitten.Ein Buch für Entscheider in der medizinischen Leitung und Verwaltung von Krankenhäusern, Fachleute sowie niedergelassene Ärzte und Apotheker, aber auch Personen in Ausbildung und Studium im Gesundheitswesen.
Big Data in Computational Social Science and Humanities (Computational Social Sciences)
by Shu-Heng ChenThis edited volume focuses on big data implications for computational social science and humanities from management to usage. The first part of the book covers geographic data, text corpus data, and social media data, and exemplifies their concrete applications in a wide range of fields including anthropology, economics, finance, geography, history, linguistics, political science, psychology, public health, and mass communications. The second part of the book provides a panoramic view of the development of big data in the fields of computational social sciences and humanities. The following questions are addressed: why is there a need for novel data governance for this new type of data?, why is big data important for social scientists?, and how will it revolutionize the way social scientists conduct research? With the advent of the information age and technologies such as Web 2.0, ubiquitous computing, wearable devices, and the Internet of Things, digital society has fundamentally changed what we now know as "data", the very use of this data, and what we now call "knowledge". Big data has become the standard in social sciences, and has made these sciences more computational. Big Data in Computational Social Science and Humanities will appeal to graduate students and researchers working in the many subfields of the social sciences and humanities.