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Download or read book Al-Arabiyya written by Reem Bassiouney and published by Georgetown University Press. This book was released on 2014-11-04 with total page 136 pages. Available in PDF, EPUB and Kindle. Book excerpt: Al- c Arabiyya is the annual journal of the American Association of Teachers of Arabic and serves scholars in the United States and abroad. Al- c Arabiyya includes scholarly articles and reviews that advance the study, research, and teaching of Arabic language, linguistics, literature, and pedagogy.
Book Synopsis Twitter as Data by : Zachary C. Steinert-Threlkeld
Download or read book Twitter as Data written by Zachary C. Steinert-Threlkeld and published by . This book was released on 2017-12-28 with total page 116 pages. Available in PDF, EPUB and Kindle. Book excerpt: The rise of the internet and mobile telecommunications has created the possibility of using large datasets to understand behavior at unprecedented levels of temporal and geographic resolution. Online social networks attract the most users, though users of these new technologies provide their data through multiple sources, e.g. call detail records, blog posts, web forums, and content aggregation sites. These data allow scholars to adjudicate between competing theories as well as develop new ones, much as the microscope facilitated the development of the germ theory of disease. Of those networks, Twitter presents an ideal combination of size, international reach, and data accessibility that make it the preferred platform in academic studies. Acquiring, cleaning, and analyzing these data, however, require new tools and processes. This Element introduces these methods to social scientists and provides scripts and examples for downloading, processing, and analyzing Twitter data.
Download or read book Sellout written by Dan Ozzi and published by Mariner Books. This book was released on 2021 with total page 429 pages. Available in PDF, EPUB and Kindle. Book excerpt: "From celebrated music writer Dan Ozzi comes a comprehensive chronicle of the punk music scene's evolution from the early nineties to the mid-aughts, following eleven bands as they dissolved, "sold out," and rose to surprise stardom. From its inception, punk music has been identified by two factors: its proximity to "authenticity," and its reliance on an antiestablishment ethos. Yet, in the mid- to late '90s, major record labels sought to capitalize on punk's rebellious undertones, leading to a schism in the scene: to accept the cash flow of the majors, or stick to indie cred?Sellout chronicles the evolution of the punk scene during this era, focusing on prominent bands as they experienced the last "gold rush" of the music industry. Within it, music writer Dan Ozzi follows the rise of successful bands like Green Day and Jimmy Eat World, as well as the implosion of groups like Jawbreaker and At the Drive-In, who buckled under the pressure of their striving labels. Featuring original interviews and personal stories from members of eleven of modern punk's most (in)famous bands, Sellout is the history of the evolution of the music industry, and a punk rock lover's guide to the chaotic darlings of the post-grunge era. "--
Book Synopsis ICT Innovations 2023. Learning: Humans, Theory, Machines, and Data by : Marija Mihova
Download or read book ICT Innovations 2023. Learning: Humans, Theory, Machines, and Data written by Marija Mihova and published by Springer Nature. This book was released on with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Proceedings of the International Conference on Computational Intelligence and Sustainable Technologies by : Kedar Nath Das
Download or read book Proceedings of the International Conference on Computational Intelligence and Sustainable Technologies written by Kedar Nath Das and published by Springer Nature. This book was released on 2022-02-12 with total page 758 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the collection of the accepted research papers presented in the 1st ‘International Conference on Computational Intelligence and Sustainable Technologies (ICoCIST-2021)’. This edited book contains the articles related to the themes on artificial intelligence in machine learning, big data analysis, soft computing techniques, pattern recognitions, sustainable infrastructural development, sustainable grid computing and innovative technology for societal development, renewable energy, and innovations in Internet of Things (IoT).
Book Synopsis Twitter, the Public Sphere, and the Chaos of Online Deliberation by : Gwen Bouvier
Download or read book Twitter, the Public Sphere, and the Chaos of Online Deliberation written by Gwen Bouvier and published by Springer Nature. This book was released on 2020-07-29 with total page 349 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume provides a critical view of the nature and quality of political and civic communication on Twitter. The introduction lays out the current state of research, showing the continuum of views, from the more optimistic to more pessimistic, regarding the platform’s potential to facilitate civic conversations. The eleven empirical case studies in the book provide new insights, addressing a variety of topics through a diverse array of methodological approaches. Together, the chapters provide a counter position to recent studies that offer more celebratory assessments of Twitter’s potential. The book draws attention to the chaotic, insular, uncivil, and emotionally charged nature of debate and communication on Twitter.
Book Synopsis Advances in Computer and Computational Sciences by : Sanjiv K. Bhatia
Download or read book Advances in Computer and Computational Sciences written by Sanjiv K. Bhatia and published by Springer. This book was released on 2017-10-03 with total page 689 pages. Available in PDF, EPUB and Kindle. Book excerpt: Exchange of information and innovative ideas are necessary to accelerate the development of technology. With advent of technology, intelligent and soft computing techniques came into existence with a wide scope of implementation in engineering sciences. Keeping this ideology in preference, this book includes the insights that reflect the ‘Advances in Computer and Computational Sciences’ from upcoming researchers and leading academicians across the globe. It contains high-quality peer-reviewed papers of ‘International Conference on Computer, Communication and Computational Sciences (ICCCCS 2016), held during 12-13 August, 2016 in Ajmer, India'. These papers are arranged in the form of chapters. The content of the book is divided into two volumes that cover variety of topics such as intelligent hardware and software design, advanced communications, power and energy optimization, intelligent techniques used in internet of things, intelligent image processing, advanced software engineering, evolutionary and soft computing, security and many more. This book helps the perspective readers’ from computer industry and academia to derive the advances of next generation computer and communication technology and shape them into real life applications.
Book Synopsis Using Geodata and Geolocation in the Social Sciences by : David Abernathy
Download or read book Using Geodata and Geolocation in the Social Sciences written by David Abernathy and published by SAGE. This book was released on 2016-10-19 with total page 437 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Abernathy provides a truly accessible and interdisciplinary introduction to geodata and geolocation covering both the conceptual and the practical. It is a must read for students or researchers looking to make the most of the spatial elements of their data" - Luke Sloan, Senior Lecturer in Quantitative Methods, Cardiff University Using Geodata and Geolocation in the Social Sciences: Mapping our Connected World provides an engaging and accessible introduction to the Geoweb with clear, step-by-step guides for: Capturing Geodata from sources including GPS, sensor networks and Twitter Visualizing Geodata using programmes including QGIS, GRASS and R Featuring colour images, practical exercises walking you through using data sources, and a companion website packed with resources, this book is the perfect guide for students and teachers looking to incorporate location-based data into their social science research.
Book Synopsis Online Social Networks by : Valerio Arnaboldi
Download or read book Online Social Networks written by Valerio Arnaboldi and published by Elsevier. This book was released on 2015-09-25 with total page 118 pages. Available in PDF, EPUB and Kindle. Book excerpt: Online Social Networks: Human Cognitive Constraints in Facebook and Twitter provides new insights into the structural properties of personal online social networks and the mechanisms underpinning human online social behavior. As the availability of digital communication data generated by social media is revolutionizing the field of social networks analysis, the text discusses the use of large- scale datasets to study the structural properties of online ego networks, to compare them with the properties of general human social networks, and to highlight additional properties. Users will find the data collected and conclusions drawn useful during design or research service initiatives that involve online and mobile social network environments. Provides an analysis of the structural properties of ego networks in online social networks Presents quantitative evidence of the Dunbar’s number in online environments Discusses original structural and dynamic properties of human social network through OSN analysis
Download or read book Data Mining written by Yee Ling Boo and published by Springer. This book was released on 2018-04-13 with total page 281 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 15th Australasian Conference on Data Mining, AusDM 2017, held in Melbourne, VIC, Australia, in August 2017. The 17 revised full papers presented together with 11 research track papers and 6 application track papers were carefully reviewed and selected from 31 submissions. The papers are organized in topical sections on clustering and classification; big data; time series; outlier detection and applications; social media and applications.
Book Synopsis Machine Learning and Principles and Practice of Knowledge Discovery in Databases by : Michael Kamp
Download or read book Machine Learning and Principles and Practice of Knowledge Discovery in Databases written by Michael Kamp and published by Springer Nature. This book was released on 2022-02-18 with total page 601 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume set constitutes the refereed proceedings of the workshops which complemented the 21th Joint European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD, held in September 2021. Due to the COVID-19 pandemic the conference and workshops were held online. The 104 papers were thoroughly reviewed and selected from 180 papers submited for the workshops. This two-volume set includes the proceedings of the following workshops:Workshop on Advances in Interpretable Machine Learning and Artificial Intelligence (AIMLAI 2021)Workshop on Parallel, Distributed and Federated Learning (PDFL 2021)Workshop on Graph Embedding and Mining (GEM 2021)Workshop on Machine Learning for Irregular Time-series (ML4ITS 2021)Workshop on IoT, Edge, and Mobile for Embedded Machine Learning (ITEM 2021)Workshop on eXplainable Knowledge Discovery in Data Mining (XKDD 2021)Workshop on Bias and Fairness in AI (BIAS 2021)Workshop on Workshop on Active Inference (IWAI 2021)Workshop on Machine Learning for Cybersecurity (MLCS 2021)Workshop on Machine Learning in Software Engineering (MLiSE 2021)Workshop on MIning Data for financial applications (MIDAS 2021)Sixth Workshop on Data Science for Social Good (SoGood 2021)Workshop on Machine Learning for Pharma and Healthcare Applications (PharML 2021)Second Workshop on Evaluation and Experimental Design in Data Mining and Machine Learning (EDML 2020)Workshop on Machine Learning for Buildings Energy Management (MLBEM 2021)
Book Synopsis Twitter Application Development For Dummies by : Dusty Reagan
Download or read book Twitter Application Development For Dummies written by Dusty Reagan and published by John Wiley & Sons. This book was released on 2010-02-16 with total page 358 pages. Available in PDF, EPUB and Kindle. Book excerpt: Get the guide to planning, developing and monetizing apps for Twitter! Twitter is the one of the hottest trends in social networking. With several million users, Twitter's popularity is growing everyday. Twitter will continue to increase user base while third-party companies keep popping up all over to make money building Twitter apps for phones, advertising tools, analytics/management tools and more. Some of the most popular Twitter apps include TwitPic, Twhirl, TweetDeck, and FriendorFollow. With this book, author Dusty Reagan uses one of his unpublished Twitter app ideas and takes you through the API, idea creation, development, and monetization of the app. Twitter Application Development For Dummies offers advice on creating interesting applications, looks at what types of applications thrive, discusses creating unique applications, explains how to make money, examines the business aspects of the process, reviews browsing and downloading applications, addresses protecting your information, and more. Twitter's API is open and third-party companies and developers are creating all kinds of apps ranging from analytical tools to advertising tools to tools The author is going to use one of his unpublished Twitter app ideas Walks the reader through covering the API, idea creation, development, and monetization of the app Twitter Application Development For Dummies will get you up and running so you can create great apps for Twitter from the creator of one of the most popular apps! Note: CD-ROM/DVD and other supplementary materials are not included as part of eBook file.
Book Synopsis Research Outlook,Innovations & Research Trends in Science & Technology by : Prof S S Rajput
Download or read book Research Outlook,Innovations & Research Trends in Science & Technology written by Prof S S Rajput and published by Alborear (OPC) Pvt. Ltd.. This book was released on 2020-10-25 with total page 239 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is focused predominantly on academicians, research scholars belong to science and engineering, managers, scientists, technicians, and other professionals in the field of qualitative research. This book is comprehended from different sources of research in Science and Technology. On the first occasion, the task of providing researchers with a broad view of the relationship between science and technology. The second reason for writing the book was the need to fill a gap in academics and research. While many excellent books, documents, and article exist for innovative practices, we have not found a work in which we can properly understand the content that the researcher needs to understand. So, after much deliberation, we decided to collect all quality efforts in one string. At the most basic level, this book is trying to show research scholars; what science, technology, and innovations are all about. It cannot study or gain knowledge of that part and is at a level that most researchers should find clear and understandable. Our goal was to develop content that will help researchers who are beginning to use innovative practices. We hope to meet the needs of academicians, research scholars who are being encouraged to incorporate more reading and writing in the field of science and technology. In summary, this book is targeted to the needs of individuals engaged in quality research activities in science and technology. Our goal is to present the topics of creativity and innovation to this audience in a way that enables them to incorporate new skills into their daily work. We would like to thank all the contributors who have made the production of this book so fascinating and enjoyable. Their scholarship and dedicated commitment and motivation to ‘getting it right’ are the keys to the book’s quality, and we greatly appreciate their good nature over many months in the face of our editorial demands and time limits. We are also grateful for using their texts, ideas, and critical remarks We would also like to thank Prof Dr Nilam N Ghuge, Prof Dr D Ayub Khan Dawood, Prof Dr Vilas A Pharande, all reviewers and all authors for their help in consolidating the interdisciplinary of the book. We are grateful to all the 18 institutions for their support. It will not be possible to bring out this edition.
Book Synopsis Advances in Computational Intelligence by : Lourdes Martínez-Villaseñor
Download or read book Advances in Computational Intelligence written by Lourdes Martínez-Villaseñor and published by Springer Nature. This book was released on 2020-10-07 with total page 504 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two-volume set LNAI 12468 and 12469 constitutes the proceedings of the 19th Mexican International Conference on Artificial Intelligence, MICAI 2020, held in Mexico City, Mexico, in October 2020. The total of 77 papers presented in these two volumes was carefully reviewed and selected from 186 submissions. The contributions are organized in topical as follows: Part I: machine and deep learning, evolutionary and metaheuristic algorithms, and soft computing. Part II: natural language processing, image processing and pattern recognition, and intelligent applications and robotics.
Book Synopsis Maturity and Innovation in Digital Libraries by : Milena Dobreva
Download or read book Maturity and Innovation in Digital Libraries written by Milena Dobreva and published by Springer. This book was released on 2018-11-14 with total page 369 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 20th International Conference on Asia-Pacific Digital Libraries, ICADL 2018, held in Hamilton, New Zealand, in November 2018. The 20 full, 6 short, and 11 work in progress papers presented in this volume were carefully reviewed and selected from 77 submissions. The papers were organized in topical sections named: topic modeling and semantic analysis; social media, web, and news; heritage and localization; user experience; digital library technology; and use cases and digital librarianship.
Book Synopsis Python: Real-World Data Science by : Dusty Phillips
Download or read book Python: Real-World Data Science written by Dusty Phillips and published by Packt Publishing Ltd. This book was released on 2016-06-10 with total page 1255 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unleash the power of Python and its robust data science capabilities About This Book Unleash the power of Python 3 objects Learn to use powerful Python libraries for effective data processing and analysis Harness the power of Python to analyze data and create insightful predictive models Unlock deeper insights into machine learning with this vital guide to cutting-edge predictive analytics Who This Book Is For Entry-level analysts who want to enter in the data science world will find this course very useful to get themselves acquainted with Python's data science capabilities for doing real-world data analysis. What You Will Learn Install and setup Python Implement objects in Python by creating classes and defining methods Get acquainted with NumPy to use it with arrays and array-oriented computing in data analysis Create effective visualizations for presenting your data using Matplotlib Process and analyze data using the time series capabilities of pandas Interact with different kind of database systems, such as file, disk format, Mongo, and Redis Apply data mining concepts to real-world problems Compute on big data, including real-time data from the Internet Explore how to use different machine learning models to ask different questions of your data In Detail The Python: Real-World Data Science course will take you on a journey to become an efficient data science practitioner by thoroughly understanding the key concepts of Python. This learning path is divided into four modules and each module are a mini course in their own right, and as you complete each one, you'll have gained key skills and be ready for the material in the next module. The course begins with getting your Python fundamentals nailed down. After getting familiar with Python core concepts, it's time that you dive into the field of data science. In the second module, you'll learn how to perform data analysis using Python in a practical and example-driven way. The third module will teach you how to design and develop data mining applications using a variety of datasets, starting with basic classification and affinity analysis to more complex data types including text, images, and graphs. Machine learning and predictive analytics have become the most important approaches to uncover data gold mines. In the final module, we'll discuss the necessary details regarding machine learning concepts, offering intuitive yet informative explanations on how machine learning algorithms work, how to use them, and most importantly, how to avoid the common pitfalls. Style and approach This course includes all the resources that will help you jump into the data science field with Python and learn how to make sense of data. The aim is to create a smooth learning path that will teach you how to get started with powerful Python libraries and perform various data science techniques in depth.
Book Synopsis Learning Data Mining with Python by : Robert Layton
Download or read book Learning Data Mining with Python written by Robert Layton and published by Packt Publishing Ltd. This book was released on 2015-07-29 with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt: The next step in the information age is to gain insights from the deluge of data coming our way. Data mining provides a way of finding this insight, and Python is one of the most popular languages for data mining, providing both power and flexibility in analysis. This book teaches you to design and develop data mining applications using a variety of datasets, starting with basic classification and affinity analysis. Next, we move on to more complex data types including text, images, and graphs. In every chapter, we create models that solve real-world problems. There is a rich and varied set of libraries available in Python for data mining. This book covers a large number, including the IPython Notebook, pandas, scikit-learn and NLTK. Each chapter of this book introduces you to new algorithms and techniques. By the end of the book, you will gain a large insight into using Python for data mining, with a good knowledge and understanding of the algorithms and implementations.
