LEADER 01024nam0 22002651i 450 001 SUN0019422 005 20160509105928.328 010 $a88-7021-375-7 100 $a20040709d1987 |0itac50 ba 101 $aita 102 $aIT 105 $a|||| ||||| 200 1 $aGuida dei funghi d'Italia e d'Europa$eatlante fotografico a colori$fMassimo Pandolfi, Davide Ubaldi 210 $aPadova$cMuzzio$d1987 215 $a320 p.$cill.$d20 cm. 620 $dPadova$3SUNL000007 676 $a579.5$cFunghi. Micologia$v22 700 1$aPandolfi$b, Massimo$3SUNV015589$074483 701 1$aUbaldi$b, Davide$3SUNV015590$037699 712 $aMuzzio$3SUNV000510$4650 801 $aIT$bSOL$c20200127$gRICA 912 $aSUN0019422 950 $aUFFICIO DI BIBLIOTECA DEL DIPARTIMENTO DI SCIENZE E TECNOLOGIE AMBIENTALI BIOLOGICHE E FARMACEUTICHE$d17CONS Jb17 $e17FSA856 20040709 $sBuono 996 $aGuida dei funghi d'Italia e d'Europa$9366231 997 $aUNICAMPANIA LEADER 05568nam 2200697 450 001 9910132342003321 005 20200520144314.0 010 $a1-118-83480-1 010 $a1-118-83473-9 010 $a1-118-83478-X 035 $a(CKB)3710000000268229 035 $a(EBL)1824310 035 $a(SSID)ssj0001367472 035 $a(PQKBManifestationID)11796006 035 $a(PQKBTitleCode)TC0001367472 035 $a(PQKBWorkID)11427039 035 $a(PQKB)11778446 035 $a(DLC) 2014035023 035 $a(Au-PeEL)EBL1824310 035 $a(CaPaEBR)ebr10960598 035 $a(CaONFJC)MIL654921 035 $a(OCoLC)896846732 035 $a(CaSebORM)9781118834800 035 $a(MiAaPQ)EBC1824310 035 $a(PPN)192309056 035 $a(EXLCZ)993710000000268229 100 $a20141106h20152015 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aAutomated data collection with R $ea practical guide to web scraping and text mining /$fSimon Munzert [and three others] 210 1$aChichester, England :$cWiley,$d2015. 210 4$dİ2015 215 $a1 online resource (XXII, 453 p.) 300 $aDescription based upon print version of record. 311 $a1-118-83481-X 311 $a1-322-23641-0 320 $aIncludes bibliographical references and index. 327 $aMachine generated contents note: Dedication Table of Contents List of Figures List of Tables Preface 1 Introduction 1.1 Case Study: World Heritage Sites in Danger 1.2 Some Remarks on Web Data Quality 1.3 Technologies for Disseminating, Extracting and Storing Web Data 1.3.1 Technologies for disseminating content on the Web 1.4 Structure of the Book Part One A Primer on Web and Data Technologies 2 HTML 2.1 Browser Presentation and Source Code 2.2 Syntax Rules 2.3 Tags and Attributes 2.4 Parsing Summary Further Reading Problems 3 XML and JSON 3.1 A Short Example XML Document 3.2 XML Syntax Rules 3.3 When Is an XML Document Well-formed or Valid? 3.4 XML Extensions and Technologies 3.5 XML and R in Practice 3.6 A Short Example JSON Document 3.7 JSON Syntax Rules 3.8 JSON and R in Practice Summary Further Reading Problems 4 XPath 4.1 XPath - a Querying Language for Web Documents 4.2 Identifying Node Sets with XPath 4.3 Extracting Node Elements Summary Further Reading Problems 5 HTTP 5.1 HTTP Fundamentals 5.2 Advanced Features of HTTP 5.3 Protocols beyond HTTP 5.4 HTTP in Action Summary Further Reading Problems 6 AJAX 6.1 JavaScript 6.2 XHR 6.3 Exploring AJAX with Web Developer Tools Summary Further Reading Problems 7 SQL and Relational Databases 7.1 Overview and Terminology 7.2 Relational Databases 7.3 SQL: a Language to Communicate with Databases 7.4 Databases in Action Summary Further Reading Problems 8 Regular Expressions and String Functions 8.1 Regular Expressions 8.2 String Processing 8.3 A Word on Character Encodings Summary Further Reading Problems Part Two A Practical Toolbox for Web Scraping and Text Mining 9 Scraping the Web 9.1 Retrieval Scenarios 9.2 Extraction Strategies 9.3 Web Scraping: Good Practice 9.4 Valuable Sources of Inspiration Summary Further Reading Problems 10 Statistical Text Processing 10.1 The running example: classifying press releases of the British government 10.2 Processing Textual Data 10.3 Supervised Learning Techniques 10.4 Unsupervised Learning Techniques Summary Further reading 11 Managing Data Projects 11.1 Interacting with the File System 11.2 Processing Multiple Documents/Links 11.3 Organizing Scraping Procedures 11.4 Executing R Scripts on a Regular Basis Part Three A Bag of Case Studies 12 Collaboration Networks in the U.S. Senate 12.1 Information on the Bills 12.2 Information on the Senators 12.3 Analyzing the network structure 12.4 Conclusion 13 Parsing Information from Semi-Structured Documents 13.1 Downloding Data from the FTP Server 13.2 Parsing Semi-Structured Text Data 13.3 Visualizing station and temperature data 14 Predicting the 2014 Academy Awards using Twitter 14.1 Twitter APIs: Overview 14.2 Twitter-based Forecast of the 2014 Academy Awards 14.3 Conclusion 15 Mapping the Geographic Distribution of Names 15.1 Developing a Data Collection Strategy 15.2 Web Site Inspection 15.3 Data Retrieval and Information Extraction 15.4 Mapping Names 15.5 Automating the Process 15.6 Summary 16 Gathering Data on Mobile Phones 16.1 Page Exploration 16.2 Scraping Procedure 16.3 Graphical Analysis 16.4 Data storage 17 Analyzing Sentiments of Product Reviews 17.1 Introduction 17.2 Collecting the data 17.3 Analyzing the Data 17.4 Conclusion References Bibliography Indices General Index Package Index Function Index . 330 $a"This book provides a unified framework of web scraping and information extraction from text data with R for the social sciences"--$cProvided by publisher. 606 $aData mining 606 $aAutomatic data collection systems 606 $aSocial sciences$xResearch$xData processing 606 $aR (Computer program language) 615 0$aData mining. 615 0$aAutomatic data collection systems. 615 0$aSocial sciences$xResearch$xData processing. 615 0$aR (Computer program language) 676 $a006.3/12 686 $aCOM021030$2bisacsh 700 $aMunzert$b Simon$01243753 702 $aMunzert$b Simon 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910132342003321 996 $aAutomated data collection with R$92885004 997 $aUNINA LEADER 02911nam 2200661Ia 450 001 9910170998403321 005 20200520144314.0 010 $a1-134-85102-2 010 $a0-203-30044-0 010 $a1-134-85103-0 010 $a1-280-32014-1 010 $a9786610320141 010 $a0-203-42525-1 024 7 $a10.4324/9780203425251 035 $a(CKB)1000000000252960 035 $a(EBL)166755 035 $a(OCoLC)437076140 035 $a(SSID)ssj0000229446 035 $a(PQKBManifestationID)11194072 035 $a(PQKBTitleCode)TC0000229446 035 $a(PQKBWorkID)10172660 035 $a(PQKB)10638960 035 $a(MiAaPQ)EBC166755 035 $a(OCoLC)52162256 035 $a(EXLCZ)991000000000252960 100 $a19971219d1998 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aProsthetic culture $ephotography, memory and identity /$fCelia Lury 210 $aLondon ;$aNew York $cRoutledge$d1998 215 $a1 online resource (255 p.) 225 1 $aInternational Library of Sociology 300 $aDescription based upon print version of record. 311 08$a0-415-10294-4 311 08$a0-415-10293-6 320 $aIncludes bibliographical references (p. [228]-238) and index. 327 $aCover; PROSTHETIC CULTURE; Title Page; Copyright Page; Table of Contents; List of figures; Acknowledgements; 1 IDENTITY AND PROSTHETIC CULTURE; 2 THE EXPERlMENTAL INDIVIDUAL; 3 THE FAMILY OF MAN; 4 BECOME WHAT YOU ARE; 5 REMEMBER ME; 6 SEEING YOU, SEEING ME, SEEING PHOTOGRAPHICALLY; 7 MOVEMENT AND THE BODY OF PHOTOGRAPHY; 8 HUMANS, NON-HUMANS AND HEROES; 9 THE ETHICS OF SEEING PHOTOGRAPHICALLY; Bibliography; Index 330 $aIn a fascinating account of how technology is altering our consciousness, Celia Lury shows how the manipulation of photographic images and ways of seeing can so redefine the relation between consciousness, the body and memory as to create a 'prosthetic culture' whose capacities both extend and threaten our humanity.We live in a society in which some memories can be falsely implanted in the individual while others are stored in video archives of images, in which the powers of cartoon superheroes break through the limitations of time and space. Using the examples of photo-therapy, family alb 410 0$aInternational Library of Sociology 517 3 $aPhotography, memory and identity 606 $aPhotography$xPhilosophy 606 $aImages, Photographic 606 $aSelf (Philosophy) 615 0$aPhotography$xPhilosophy. 615 0$aImages, Photographic. 615 0$aSelf (Philosophy) 676 $a306 700 $aLury$b Celia$0319326 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910170998403321 996 $aProsthetic culture$92190126 997 $aUNINA