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Enterprise Content Management : what you need to know.
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ISBN: 9780973066258 Year: 2004 Publisher: Waterloo Open Text

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Studies have shown that most organizations already house much of the content they need to make key business decisions, faster. Consider the following: - The number of e-mails sent every day in North America has tripled to 11.9 billion since 1999- Employees in today's hi-tech world spend 2.2 hours each day reading, managing and organizing their e-mail.The challenge lies in effectively finding, organizing, storing and managing growing amounts of information. The effective management of content is good for business. Companies that manage content are able to better leverage information to respond quickly to opportunities, achieve high rates of return on investment and gain competitive edge. Enterprise Content Management: What you need to know tells you how ECM can help to transform your organization into a more knowledgeable and agile enterprise. It also focuses on another topical area of concern — corporate governance and regulatory compliance. Recent legislation (such as Sarbanes-Oxley, the Patriot Act and Basel II compliance) will impact many organizations throughout the world and has moved governance to the top of the management agenda. From a business perspective, the book explores the quality controls and productivity enhancements realized when an organization uses the latest in secure Internet technology to deploy an ECM solution. Each chapter in the book focuses on a component technology of ECM, tracing their origins from the early search technologies to ubiquitous computing, real-time collaboration and rich media. Over 60 user stories are featured throughout the book to illustrate effective ECM applications in action and paint the picture of an industry in the making.


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Travailler, apprendre et collaborer en réseau : guide de la mise en place et d'animation de communautés de pratique intentionnelles
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ISBN: 9782923278148 Year: 2005 Publisher: Québec CEFRIO - Centre francophone d'informatisation des organisations

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Publié par le CEFRIO, cet ouvrage fait état des plus récents progrès dans ce volet essentiel de la gestion des connaissances que constituent les communautés de pratique et les réseaux d'apprentissage et de collaboration. Conçu pour favoriser l'atteinte de résultats concrets, ce guide pratique définit les concepts et propose au lecteur des outils qui encourageront l'indispensable réflexion qui doit précéder l'action. Fondé sur 14 cas vécus au Québec et au Canada français, cet ouvrage nous apprend aussi pourquoi certaines communautés qui ont participé au vaste projet du CEFRIO Modes de travail et de collaboration à l'ère d'Internet ont connu de fort belles réussites, alors que d'autres ont éprouvé des problèmes de mise en oeuvre ou ont tout simplement dû être mises au rancart. Cet ouvrage s'adresse tant à l'employé intéressé par l'expérience de la communauté qu'à l'animateur en devenir, au professionnel en ressources humaines ou encore au gestionnaire curieux.

The landscape of qualitative research /.
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ISBN: 9781412957588 1412957583 Year: 2008 Publisher: Los Angeles Sage Publications

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The Landscape of Qualitative Research, Third Edition, the first volume of the paperback versions of the The SAGE Handbook of Qualitative Research, Third Edition, takes a look at the field from a broadly theoretical perspective, and is composed of the Handbook's Parts I (“Locating the Field”), II (“Major Paradigms and Perspectives”), and VI (“The Future of Qualitative Research”).The Landscape of Qualitative Research, Third Edition attempts to put the field of qualitative research in context. Part I provides background on the field, starting with history, then action research and the academy, and the politics and ethics of qualitative research. Part II isolates what we regard as the major historical and contemporary paradigms now structuring and influencing qualitative research in the human disciplines. The chapters move from competing paradigms (positivist, post positivist, constructivist, critical theory) to specific interpretive perspectives, feminisms, racialized discourses, cultural studies, sexualities, and queer theory. Part III considers the future of qualitative research.New to the Third Edition• Contains a new Reader's Guide prepared by the editors that helps students and researchers navigate through the chapters, locating the different methodologies, methods, techniques, issues, and theories relevant to their work.• Presents an abbreviated Glossary of terms that offer students and researchers a ready resource to help decode the language of qualitative research.• Offers recommended Readings that provide readers with additional sources on specific topic areas linked to their research.Intended AudienceThis text is designed for graduate students taking classes in social research methods and qualitative methods as well as researchers throughout the social sciences and in some fields within the humanities.

Collecting and interpreting qualitative materials.
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ISBN: 9781412957571 Year: 2008 Publisher: London Sage

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Collecting and Interpreting Qualitative Materials, Third Edition is the third volume of the paperback versions of The SAGE Handbook of Qualitative Research, Third Edition. This portion of the handbook considers the tasks of collecting, analyzing, and interpreting empirical materials, and comprises the Handbook's Parts IV (“Methods of Collecting and Analyzing Empirical Materials”) and V (“The Art and Practices of Interpretation, Evaluation, and Presentation”).Collecting and Interpreting Qualitative Materials, Third Edition introduces the researcher to basic methods of gathering, analyzing and interpreting qualitative empirical materials. Part I moves from interviewing to observing, to the use of artifacts, documents and records from the past; to visual, and autoethnographic methods. It then takes up analysis methods, including computer-assisted methodologies, as well as strategies for analyzing talk and text.Key Feature of the Third Edition• Contains a new Reader's Guide prepared by the editors that helps students and researchers navigate through the chapters, locating the different methodologies, methods, techniques, issues, and theories relevant to their work.• Presents an abbreviated Glossary of terms that offer students and researchers a ready resource to help decode the language of qualitative research.• Offers recommended Readings that provide readers with additional sources on specific topic areas linked to their research.Intended AudienceThis text is designed for graduate students taking classes in social research methods and qualitative methods as well as researchers throughout the social sciences and in some fields within the humanities.


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Machine learning with R : expert techniques for predictive modeling
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ISBN: 9781788295864 1788295862 Year: 2019 Publisher: Birmingham, UK Packt

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Machine learning, at its core, is concerned with transforming data into actionable knowledge. R offers a powerful set of machine learning methods to quickly and easily gain insight from your data.Machine Learning with R, Third Edition provides a hands-on, readable guide to applying machine learning to real-world problems. Whether you are an experienced R user or new to the language, Brett Lantz teaches you everything you need to uncover key insights, make new predictions, and visualize your findings.This new 3rd edition updates the classic R data science book to R 3.6 with newer and better libraries, advice on ethical and bias issues in machine learning, and an introduction to deep learning. Find powerful new insights in your data; discover machine learning with R.


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Content analysis : an introduction to its methodology
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ISBN: 9781412983150 1412983150 Year: 2013 Publisher: Los Angeles ; : SAGE,

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Transformation - namely, the ongoing information revolution. Two decades ago, content analysis was largely known in journalism and communication research, and, to a lesser extent, in the social and psychological sciences. Today, content analysis has become an efficient alternative to public opinion research - a method of tracking markets, political leanings, and emerging ideas, a way to settle legal disputes, and an approach to explore individual human minds. The Third Edition of Content Analysis remains the definitive sourcebook of the history and core principles of content analysis as well as an essential resource for present and future studies. The book introduces readers to ways of analyzing meaningful matter such as texts, images, voices - that is, data whose physical manifestations are secondary to the meanings that a particular population of people brings to them.Organized into three parts, the book examines the conceptual and methodological aspects of content analysis and also traces several paths through content analysis protocols. The author has completely revised and updated the Third Edition, integrating new information on computer-aided text analysis and social media. The book also includes a practical guide that incorporates experiences in teaching and how to advise academic and commercial researchers. In addition, Krippendorff clarifies the epistemology and logic of content analysis as well as the methods for achieving its aims.


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Organisez vos données personnelles : l'essentiel du Personal Knowledge Management.
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ISSN: 17708362 ISBN: 9782212548426 2212548427 Year: 2011 Publisher: Paris Editions d'organisation

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1. Devenez un maître de l'univers informationnel avec le PKM - 2. Organisez votre propre système d'information personnel avec le modèle TIIC

Graphics of Large Datasets : Visualizing a Million
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ISBN: 0387329064 9780387329062 9786610938421 1280938420 0387379770 Year: 2006 Publisher: New York, NY : Springer New York : Imprint: Springer,

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Graphics are great for exploring data, but how can they be used for looking at the large datasets that are commonplace to-day? This book shows how to look at ways of visualizing large datasets, whether large in numbers of cases or large in numbers of variables or large in both. Data visualization is useful for data cleaning, exploring data, identifying trends and clusters, spotting local patterns, evaluating modeling output, and presenting results. It is essential for exploratory data analysis and data mining. Data analysts, statisticians, computer scientists-indeed anyone who has to explore a large dataset of their own-should benefit from reading this book. New approaches to graphics are needed to visualize the information in large datasets and most of the innovations described in this book are developments of standard graphics. There are considerable advantages in extending displays which are well-known and well-tried, both in understanding how best to make use of them in your work and in presenting results to others. It should also make the book readily accessible for readers who already have a little experience of drawing statistical graphics. All ideas are illustrated with displays from analyses of real datasets and the authors emphasize the importance of interpreting displays effectively. Graphics should be drawn to convey information and the book includes many insightful examples. Antony Unwin holds the Chair of Computer Oriented Statistics and Data Analysis at the University of Augsburg. He has been involved in developing visualization software for twenty years. Martin Theus is a Senior Researcher at the University of Augsburg, has worked in industry and research in both Germany and the USA, and is the author of the visualization software Mondrian. Heike Hofmann is Assistant Professor of Statistics at Iowa State University. She wrote the software MANET and has also cooperated in the development of the GGobi software.

Keywords

Artificial intelligence. Robotics. Simulation. Graphics --- Information systems --- QA 276.3 Graphic methods --- Computational Science & Engineering --- Computational Statistics --- Computer Imaging, Graphics & Vision --- Computer Science --- Statistics --- Computer graphics. --- Statistique --- Infographie --- Graphic methods. --- Méthodes graphiques --- Computer graphics --- Graphic methods --- Statistics -- Graphic methods. --- Mathematics --- Physical Sciences & Mathematics --- Mathematical Statistics --- Méthodes graphiques --- EPUB-LIV-FT LIVSTATI SPRINGER-B --- Automatic drafting --- Graphic data processing --- Graphics, Computer --- Diagrams, Statistical --- Statistical diagrams --- Mathematics. --- Operations research. --- Decision making. --- Data mining. --- Visualization. --- Computer software. --- Statistics. --- Mathematical Software. --- Statistical Theory and Methods. --- Data Mining and Knowledge Discovery. --- Operation Research/Decision Theory. --- Computer Graphics. --- Computer art --- Graphic arts --- Electronic data processing --- Engineering graphics --- Image processing --- Statistical analysis --- Statistical data --- Statistical methods --- Statistical science --- Econometrics --- Software, Computer --- Computer systems --- Visualisation --- Imagery (Psychology) --- Imagination --- Visual perception --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Database searching --- Deciding --- Decision (Psychology) --- Decision analysis --- Decision processes --- Making decisions --- Management --- Management decisions --- Choice (Psychology) --- Problem solving --- Operational analysis --- Operational research --- Industrial engineering --- Management science --- Research --- System theory --- Math --- Science --- Digital techniques --- Decision making --- Curve fitting --- Mathematical statistics. --- Operations Research/Decision Theory. --- Statistical inference --- Statistics, Mathematical --- Probabilities --- Sampling (Statistics) --- Statistics . --- Statistics - Graphic methods

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