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Data mining is the art and science of intelligent data analysis. By building knowledge from information, data mining adds considerable value to the ever increasing stores of electronic data that abound today. In performing data mining many decisions need to be made regarding the choice of methodology, the choice of data, the choice of tools, and the choice of algorithms. Throughout this book the reader is introduced to the basic concepts and some of the more popular algorithms of data mining. With a focus on the hands-on end-to-end process for data mining, Williams guides the reader through various capabilities of the easy to use, free, and open source Rattle Data Mining Software built on the sophisticated R Statistical Software. The focus on doing data mining rather than just reading about data mining is refreshing. The book covers data understanding, data preparation, data refinement, model building, model evaluation,  and practical deployment. The reader will learn to rapidly deliver a data mining project using software easily installed for free from the Internet. Coupling Rattle with R delivers a very sophisticated data mining environment with all the power, and more, of the many commercial offerings.

Statistical science --- data mining --- statistisch onderzoek --- Data mining --- R (Computer program language) --- Statistics. --- R (Computer program language). --- Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.

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R is an Open Source implementation of the S language. It works on multiple computing platforms and can be freely downloaded. This book provides an elementary-level introduction to R, targeting both non-statistician scientists in various fields and students of statistics.

Programming --- Mathematical statistics --- Statistics --- R (Computer program language) --- Statistique --- R (Langage de programmation) --- Data processing. --- Informatique --- EPUB-LIV-FT LIVMATHE LIVSTATI SPRINGER-B --- R (Computer program language). --- GNU-S (Computer program language) --- Domain-specific programming languages --- Data processing --- Statistics - Data processing --- R (Lenguaje de programación) --- Estadística matemática

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Applied Spatial Data Analysis with R is divided into two basic parts, the first presenting R packages, functions, classes and methods for handling spatial data. This part is of interest to users who need to access and visualise spatial data. Data import and export for many file formats for spatial data are covered in detail, as is the interface between R and the open source GRASS GIS. The second part showcases more specialised kinds of spatial data analysis, including spatial point pattern analysis, interpolation and geostatistics, areal data analysis and disease mapping. The coverage of methods of spatial data analysis ranges from standard techniques to new developments, and the examples used are largely taken from the spatial statistics literature. All the examples can be run using R contributed packages available from the CRAN website, with code and additional data sets from the book's own website. This book will be of interest to researchers who intend to use R to handle, visualise, and analyse spatial data. It will also be of interest to spatial data analysts who do not use R, but who are interested in practical aspects of implementing software for spatial data analysis. It is a suitable companion book for introductory spatial statistics courses and for applied methods courses in a wide range of subjects using spatial data, including human and physical geography, geographical information systems, the environmental sciences, ecology, public health and disease control, economics, public administration and political science. The book has a website where coloured figures, complete code examples, data sets, and other support material may be found: http://www.asdar-book.org. The authors have taken part in writing and maintaining software for spatial data handling and analysis with R in concert since 2003. Roger Bivand is Professor of Geography in the Department of Economics at Norges Handelshøyskole, Bergen, Norway. Edzer Pebesma is Professor of Geoinformatics at Westfälische Wilhelms-Universität, Münster, Germany. Virgilio Gómez-Rubio is Research Associate in the Department of Epidemiology and Public Health, Imperial College London, London, United Kingdom.

Spatial analysis (Statistics) --- R (Computer program language) --- Data processing --- R (Computer program language). --- Data processing. --- Mathematical statistics --- Analysis, Spatial (Statistics) --- Correlation (Statistics) --- Spatial systems --- GNU-S (Computer program language) --- Domain-specific programming languages --- Spatial analysis (Statistics) - Data processing

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Numerical Ecology with R provides a long-awaited bridge between a textbook in Numerical Ecology and the implementation of this discipline in the R language. After short theoretical overviews, the authors accompany the users through the exploration of the methods by means of applied and extensively commented examples. Users are invited to use this book as a teaching companion at the computer. The travel starts with exploratory approaches, proceeds with the construction of association matrices, then addresses three families of methods: clustering, unconstrained and canonical ordination, and spatial analysis. All the necessary data files, the scripts used in the chapters, as well as the extra R functions and packages written by the authors, can be downloaded from a web page accessible through the Springer web site(http://adn.biol.umontreal.ca/~numericalecology/numecolR/). This book is aimed at professional researchers, practitioners, graduate students and teachers in ecology, environmental science and engineering, and in related fields such as oceanography, molecular ecology, agriculture and soil science, who already have a background in general and multivariate statistics and wish to apply this knowledge to their data using the R language, as well as people willing to accompany their disciplinary learning with practical applications. People from other fields (e.g. geology, geography, paleoecology, phylogenetics, anthropology, the social and education sciences, etc.) may also benefit from the materials presented in this book. The three authors teach numerical ecology, both theoretical and practical, to a wide array of audiences, in regular courses in their Universities and in short courses given around the world. Daniel Borcard is lecturer of Biostatistics and Ecology and researcher in Numerical Ecology at Université de Montréal, Québec, Canada. François Gillet is professor of Community Ecology and Ecological Modelling at Université de Franche-Comté, Besançon, France. Pierre Legendre is professor of Quantitative Biology and Ecology at Université de Montréal, Fellow of the Royal Society of Canada, and ISI Highly Cited Researcher in Ecology/Environment.

Biomathematics. Biometry. Biostatistics --- General ecology and biosociology --- Epidemiology --- Environmental protection. Environmental technology --- Forestry --- medische statistiek --- biostatistiek --- statistiek --- epidemiologie --- ecologie --- biometrie --- milieutechnologie --- bossen --- Ecology --- R (Computer program language) --- Ecologie --- R (Langage de programmation) --- Statistical methods --- Data processing --- Méthodes statistiques --- Informatique --- EPUB-LIV-FT LIVMATHE LIVSTATI SPRINGER-B --- GNU-S (Computer program language) --- Balance of nature --- Biology --- Bionomics --- Ecological processes --- Ecological science --- Ecological sciences --- Environment --- Environmental biology --- Oecology --- numerieke ecologie --- R language --- Environmental sciences --- Population biology --- Domain-specific programming languages --- Statistical methods. --- Data processing. --- R (Computer program language).

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Overheden, non-profitorganisaties en commerciële bedrijven moeten voortdurend communiceren om in evenwicht te blijven met hun omgeving. Afstemming is nodig omdat die omgeving steeds sneller verandert. Moderne organisaties proberen niet alleen te beïnvloeden, ze luisteren mee en participeren in gesprekken die consumenten voeren. Dit handboek biedt inzichten en richtlijnen, gebaseerd op actuele ontwikkelingen, die van belang zijn voor de communicatie van organisaties.Deze zesde, geheel herziene editie van dit boek heeft een nieuwe titel: 'Communicatie van organisaties'. 'Communicatie' is in onze visie veel breder dan 'Public Relations' en beter van toepassing op het nieuwe handboek dat het belang en mogelijkheden van communicatie voor organisaties laat zien. In het eerste deel komt de theorie aan bod en vind je een overzicht van actuele ontwikkelingen in het vakgebied. Het tweede deel biedt concrete handvatten en verdieping. Dit maakt het boek relevant voor studenten en vakgenoten.De opzet van het nieuwe boek 'Communicatie van organisaties' is trouw gebleven aan de succesformule van eerdere edities. Ieder hoofdstuk is door een specialist in het betreffende onderwerp geschreven. Dat heeft geresulteerd in een rijk boek, gevarieerd aan inhoud, actueel en fundamenteel, met een veelheid aan inzichten en handige tips.Bron : http://www.managementboek.nl

Externe communicatie; ondernemingen. --- Public Relations; ondernemingen. --- PR (public relations) --- Advertising. Public relations --- Public relations --- Communicatie ; organisaties --- 659.4 --- communicatie --- media --- 091 --- public relations --- organisaties --- Public relations. P.R. --- Communicatie --- Communicatieplannen --- Leidinggeven --- Cultuur --- Organisatieculturen --- Interne communicatie --- Communicatiestrategieën --- Bedrijfscommunicatie --- Organisatiecultuur --- Public relations. P.R --- Communicatieplan --- Leiderschap --- Communicatiestrategie --- Toerisme