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Extracting Expert Information from Social Networks, Big Data, Tweets, and More
Author: Robert Berkman
Publisher: Information Today Incorporated
Go beyond Google to mine big data and social media Author Robert Berkman gives expert advice on how to search the internet to locate the best information sources, how to find and utilize the professionals behind those sources, and how to combine these techniques to complete an information search on any subject. This fully updated 6th edition includes how to search beyond Google, leveraging big data in the search process, and how to search the social web. Readers will also find expert advice on how to know if a site is a trusted source; understanding how and why sources differ; using precision search strategies and taming information overload; and finding, evaluating, and identifying experts. Whether it's consumer advice, information for a job or project, facts for starting a new business, or answers to questions on obscure topics, Find It Fast is the perfect resource for learning to hone one's internet searching skills.
Thoroughly updated, this is the essential guide to one of the most fundamental fields in the library profession. It links you—and through you, your patrons—to the significant changes that have occurred in reference and information sciences with emphasis on the growth of digital content. • Provides a comprehensive text edited by two highly regarded experts in reference and academic librarianship, Linda C. Smith and Melissa A. Wong, with chapters written by some of the best minds in the library science field • Includes newly updated information that reflects today's realities in reference service with an indication of how reference service may be provided to meet changing patron needs in the future • Encompasses the effective use of print sources, free online sources, and fee-based sources • Features individual chapters that can be used for in-service staff training or in student course packs
Capitalise on big data to add value to your small business Written by bestselling author and big data expert Bernard Marr, Big Data For Small Business For Dummies helps you understand what big data actually is—and how you can analyse and use it to improve your business. Free of confusing jargon and complemented with lots of step-by-step guidance and helpful advice, it quickly and painlessly helps you get the most from using big data in a small business. Business data has been around for a long time. Unfortunately, it was trapped away in overcrowded filing cabinets and on archaic floppy disks. Now, thanks to technology and new tools that display complex databases in a much simpler manner, small businesses can benefit from the big data that's been hiding right under their noses. With the help of this friendly guide, you'll discover how to get your hands on big data to develop new offerings, products and services; understand technological change; create an infrastructure; develop strategies; and make smarter business decisions. Shows you how to use big data to make sense of user activity on social networks and customer transactions Demonstrates how to capture, store, search, share, analyse and visualise analytics Helps you turn your data into actionable insights Explains how to use big data to your advantage in order to transform your small business If you're a small business owner or employee, Big Data For Small Business For Dummies helps you harness the hottest commodity on the market today in order to take your company to new heights.
Multimedia is currently used in a variety of contexts, from social interaction to educational and business settings. The richness of the multimedia experience and its ability to enhance information sharing in a variety of settings makes it a valuable tool. Design Strategies and Innovations in Multimedia Presentations brings together the latest scholarly research and proven strategies for designing and implementing multimedia technologies for various applications, with an emphasis on education. Featuring a selection of highly informative chapters on the pervasiveness of multimedia and best methods for developing presentations using this technology, this publication is an essential reference source for researchers, practitioners, and professionals. This publication features timely, research based chapters on the use of digital media tools and applications including digital visualization, e-learning, human-computer interaction, online presentations, semantic web, social media data, and technology in education.
"...excellent for use as a text in information assurance orcyber-security courses...I strongly advocate thatprofessors...examine this book with the intention of using it intheir programs." (Computing Reviews.com, March 22, 2007) "The book is written as a student textbook, but it should beequally valuable for current practitioners...this book is a veryworthwhile investment." (Homeland Security Watch, August 17,2006) While the emphasis is on the development of policies that lead tosuccessful prevention of terrorist attacks on the nation’sinfrastructure, this book is the first scientific study of criticalinfrastructures and their protection. The book models thenation’s most valuable physical assets and infrastructuresectors as networks of nodes and links. It then analyzes thenetwork to identify vulnerabilities and risks in the sectorcombining network science, complexity theory, modeling andsimulation, and risk analysis. The most critical components become the focus of deeper analysisand protection. This approach reduces the complex problem ofprotecting water supplies, energy pipelines, telecommunicationstations, Internet and Web networks, and power grids to a muchsimpler problem of protecting a few critical nodes. The new editionincorporates a broader selection of ideas and sectors and moves themathematical topics into several appendices.
Techniques and Insights for Extracting Business Value Out of Social Media
Author: Matthew Ganis
Publisher: IBM Press
Category: Business & Economics
Transform Raw Social Media Data into Real Competitive Advantage There’s real competitive advantage buried in today’s deluge of social media data. If you know how to analyze it, you can increase your relevance to customers, establishing yourself as a trusted supplier in a cutthroat environment where consumers rely more than ever on “public opinion” about your products, services, and experiences. Social Media Analytics is the complete insider’s guide for all executives and marketing analysts who want to answer mission-critical questions and maximize the business value of their social media data. Two leaders of IBM’s pioneering Social Media Analysis Initiative offer thorough and practical coverage of the entire process: identifying the right unstructured data, analyzing it, and interpreting and acting on the knowledge you gain. Their expert guidance, practical tools, and detailed examples will help you learn more from all your social media conversations, and avoid pitfalls that can lead to costly mistakes. You’ll learn how to: Focus on the questions that social media data can realistically answer Determine which information is actually useful to you—and which isn’t Cleanse data to find and remove inaccuracies Create data models that accurately represent your data and lead to more useful answers Use historical data to validate hypotheses faster, so you don’t waste time Identify trends and use them to improve predictions Drive value “on-the-fly” from real-time/ near-real-time and ad hoc analyses Analyze text, a.k.a. “data at rest” Recognize subtle interrelationships that impact business performance Improve the accuracy of your sentiment analyses Determine eminence, and distinguish “talkers” from true influencers Optimize decisions about marketing and advertising spend Whether you’re a marketer, analyst, manager, or technologist, you’ll learn how to use social media data to compete more effectively, respond more rapidly, predict more successfully…grow profits, and keep them growing.
A resource for information executives, the online version of CIO offers executive programs, research centers, general discussion forums, online information technology links, and reports on information technology issues.
Harness the power of social media to predict customer behaviorand improve sales Social media is the biggest source of Big Data. Because of this,90% of Fortune 500 companies are investing in Big Data initiativesthat will help them predict consumer behavior to produce bettersales results. Written by Dr. Gabor Szabo, a Senior Data Scientistat Twitter, and Dr. Oscar Boykin, a Software Engineer at Twitter,Social Media Data Mining and Analytics shows analysts how touse sophisticated techniques to mine social media data, obtainingthe information they need to generate amazing results for theirbusinesses. Social Media Data Mining and Analytics isn't just anotherbook on the business case for social media. Rather, this bookprovides hands-on examples for applying state-of-the-art tools andtechnologies to mine social media - examples include Twitter,Facebook, Pinterest, Wikipedia, Reddit, Flickr, Web hyperlinks, andother rich data sources. In it, you will learn: The four key characteristics of online services-users, socialnetworks, actions, and content The full data discovery lifecycle-data extraction, storage,analysis, and visualization How to work with code and extract data to create solutions How to use Big Data to make accurate customer predictions Szabo and Boykin wrote this book to provide businesses with thecompetitive advantage they need to harness the rich data that isavailable from social media platforms.
Big data has always been a major challenge in geoinformatics as geospatial data come in various types and formats, new geospatial data are acquired very fast, and geospatial databases are inherently very large. And while there have been advances in hardware and software for handling big data, they often fall short of handling geospatial big data efficiently and effectively. Big Data: Techniques and Technologies in Geoinformatics tackles these challenges head on, integrating coverage of techniques and technologies for storing, managing, and computing geospatial big data. Providing a perspective based on analysis of time, applications, and resources, this book familiarizes readers with geospatial applications that fall under the category of big data. It explores new trends in geospatial data collection, such as geo-crowdsourcing and advanced data collection technologies such as LiDAR point clouds. The book features a range of topics on big data techniques and technologies in geoinformatics including distributed computing, geospatial data analytics, social media, and volunteered geographic information. With chapters contributed by experts in geoinformatics and in domains such as computing and engineering, the book provides an understanding of the challenges and issues of big data in geoinformatics applications. The book is a single collection of current and emerging techniques, technologies, and tools that are needed to collect, analyze, manage, process, and visualize geospatial big data.