LEADER 04299nam 22007095 450 001 996466279503316 005 20200702004804.0 010 $a3-030-02925-5 024 7 $a10.1007/978-3-030-02925-8 035 $a(CKB)4100000007111125 035 $a(DE-He213)978-3-030-02925-8 035 $a(MiAaPQ)EBC6285544 035 $a(PPN)231461089 035 $a(EXLCZ)994100000007111125 100 $a20181020d2018 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aWeb Information Systems Engineering ? WISE 2018$b[electronic resource] $e19th International Conference, Dubai, United Arab Emirates, November 12-15, 2018, Proceedings, Part II /$fedited by Hakim Hacid, Wojciech Cellary, Hua Wang, Hye-Young Paik, Rui Zhou 205 $a1st ed. 2018. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2018. 215 $a1 online resource (XX, 518 p. 152 illus.) 225 1 $aInformation Systems and Applications, incl. Internet/Web, and HCI ;$v11234 311 $a3-030-02924-7 327 $aBlockchain -- Security -- Social network and security -- Social network -- Microblog data analysis -- Graph data -- Information extraction -- Text mining -- Recommender systems -- Medical data analysis -- Web services and cloud computing -- Data stream and distributed computing -- Data mining techniques -- Entity linkage and semantics -- Web applications -- Data mining applications. 330 $aThe two-volume set LNCS 11233 and LNCS 11234 constitutes the proceedings of the 19th International Conference on Web Information Systems Engineering, WISE 2018, held in Dubai, United Arab Emirates, in November 2018. The 48 full papers and 21 short papers presented were carefully reviewed and selected from 209 submissions. The papers are organized in topical sections on blockchain, security, social network and security, social network, microblog data analysis, graph data, information extraction, text mining, recommender systems, medical data analysis, Web services and cloud computing, data stream and distributed computing, data mining techniques, entity linkage and semantics, Web applications, and data mining applications. 410 0$aInformation Systems and Applications, incl. Internet/Web, and HCI ;$v11234 606 $aApplication software 606 $aData mining 606 $aInformation storage and retrieval 606 $aArtificial intelligence 606 $aArithmetic and logic units, Computer 606 $aInformation Systems Applications (incl. Internet)$3https://scigraph.springernature.com/ontologies/product-market-codes/I18040 606 $aData Mining and Knowledge Discovery$3https://scigraph.springernature.com/ontologies/product-market-codes/I18030 606 $aInformation Storage and Retrieval$3https://scigraph.springernature.com/ontologies/product-market-codes/I18032 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aArithmetic and Logic Structures$3https://scigraph.springernature.com/ontologies/product-market-codes/I12026 615 0$aApplication software. 615 0$aData mining. 615 0$aInformation storage and retrieval. 615 0$aArtificial intelligence. 615 0$aArithmetic and logic units, Computer. 615 14$aInformation Systems Applications (incl. Internet). 615 24$aData Mining and Knowledge Discovery. 615 24$aInformation Storage and Retrieval. 615 24$aArtificial Intelligence. 615 24$aArithmetic and Logic Structures. 676 $a006 702 $aHacid$b Hakim$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aCellary$b Wojciech$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aWang$b Hua$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aPaik$b Hye-Young$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aZhou$b Rui$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996466279503316 996 $aWeb Information Systems Engineering ? WISE 2018$92159204 997 $aUNISA LEADER 01192nam0-22003131i-450 001 990005539320403321 005 20230628131503.0 035 $a000553932 035 $aFED01000553932 035 $a(Aleph)000553932FED01 100 $a19990604d1930----km-y0itay50------ba 101 0 $afre 102 $aFR 105 $a 001yy 200 1 $a<>écritures minoennes au palais de Mallia, d'après le dèpôt d'archives exhumé sous la direction de Charles Picard, par Louis Renaudin et Jean Charbonneaux$fpar Ferdinand Chapoutier 210 $aParis$cPaul Geuthner$d1930 215 $aXII, 99 p., 8 tav.$cill.$d29 cm 225 1 $aÉtudes crètoises$v2 700 1$aChapouthier,$bFernand$0190648 702 1$aCharbonneaux,$bJean$f<1895-1969> 702 1$aPicard,$bCharles$f<1883-1965> 702 1$aRenaudin,$bLouis 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990005539320403321 952 $a939.18 ET CRET 1 (2)$bARCH. 9923$fFLFBC 959 $aFLFBC 996 $aÉcritures minoennes au palais de Mallia, d'après le dèpôt d'archives exhumé sous la direction de Charles Picard, par Louis Renaudin et Jean Charbonneaux$93389412 997 $aUNINA LEADER 04882nam 2200673 450 001 9910797289203321 005 20230912134835.0 010 $a1-4571-8986-0 010 $a1-59327-676-1 035 $a(CKB)3710000000402549 035 $a(EBL)4503149 035 $a(SSID)ssj0001483363 035 $a(PQKBManifestationID)12589280 035 $a(PQKBTitleCode)TC0001483363 035 $a(PQKBWorkID)11427851 035 $a(PQKB)10785924 035 $a(WaSeSS)IndRDA00052807 035 $a(Au-PeEL)EBL4503149 035 $a(CaPaEBR)ebr11250495 035 $a(OCoLC)913056930 035 $a(Au-PeEL)EBL6059242 035 $a(OCoLC)907477297 035 $a(CaSebORM)9781457189869 035 $a(MiAaPQ)EBC4503149 035 $a(MiAaPQ)EBC6059242 035 $a(EXLCZ)993710000000402549 100 $a20160903h20152015 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aData visualization with JavaScript /$fStephen A. Thomas 205 $a1st edition 210 1$aSan Francisco, California :$cNo Starch Press,$d2015. 210 4$d©2015 215 $a1 online resource (381 p.) 300 $aIncludes index. 311 $a1-59327-605-2 327 $aAbout the Author; Brief Contents; Contents in Detail; Acknowledgments; Introduction; The Book's Philosophy; The Book's Contents; Source Code for Examples; Chapter 1: Graphing Data; Creating a Basic Bar Chart; Step 1: Include the Required JavaScript; Step 2: Set Aside a Element to Hold the Chart; Step 3: Define the Data; Step 4: Draw the Chart; Step 5: Fix the Vertical Axis; Step 6: Fix the Horizontal Axis; Step 7: Adjust the Styling; Step 8: Vary the Bar Color; Step 9: Work Around flotr2 "Bugs"; Plotting Continuous Data with a Line Chart; Step 1: Define the Data 327 $aStep 2: Graph the CO2 DataStep 3: Add the Temperature Data; Step 4: Improve the Chart's Readability; Step 5: Clarify the Temperature Measurements; Step 6: Label the Chart; Step 7: Work Around flotr2 "Bugs"; Emphasizing Fractions Using a Pie Chart; Step 1: Define the Data; Step 2: Draw the Chart; Step 3: Label the Values; Step 4: Work Around flotr2 "Bugs"; Plotting X/Y Data with a Scatter Chart; Step 1: Define the Data; Step 2: Format the Data; Step 3: Plot the Data; Step 4: Adjust the Chart's Axes; Step 5: Label the Data; Step 6: Clarify the X-Axis; Step 7: Answer Users' Questions 327 $aStep 8: Work Around flotr2 "Bugs"Adding Magnitudes to X/Y Data with a Bubble Chart; Step 1: Define the Data; Step 2: Create a Background for the Chart; Step 3: Plot the Data; Step 4: Add the Background; Step 5: Color the Bubbles; Step 6: Adjust the Legend Styles; Step 7: Work Around flotr2 "Bugs"; Displaying Multidimensional Data with a Radar Chart; Step 1: Define the Data; Step 2: Create the Chart; Step 3: Work Around flotr2 "Bugs"; Summing Up; Chapter 2: Making Charts Interactive; Selecting Chart Content; Step 1: Include the Required JavaScript Libraries 327 $aStep 2: Set Aside a Element to Hold the ChartStep 3: Prepare the Data; Step 4: Draw the Chart; Step 5: Add the Controls; Step 6: Define the Data Structure for the Interaction; Step 7: Determine Chart Data Based on the Interaction State; Step 8: Add the Controls Using JavaScript; Step 9: Respond to the Interaction Controls; Zooming In on Charts; Step 1: Prepare the Page; Step 2: Draw the Chart; Step 3: Prepare the Data to Support Interaction; Step 4: Prepare to Accept Interaction Events; Step 5: Enable the Interaction; Tracking Data Values 327 $aStep 1: Set Aside a Element to Hold the ChartsStep 2: Prepare the Data; Step 3: Draw the Charts; Step 4: Implement the Interaction; Retrieving Data Using AJAX; Step 1: Understand the Source Data; Step 2: Get the First Level of Data via AJAX; Step 3: Process the First Level of Data; Step 4: Get the Real Data; Step 5: Process the Data; Step 6: Create the Chart; Summing Up; Chapter 3: Integrating Charts on a Page; Creating a Classic Sparkline; Step 1: Include the Required JavaScript Libraries; Step 2: Create the HTML Markup for the Sparkline; Step 3: Draw the Sparkline 327 $aStep 4: Adjust the Chart Style 330 $aData Visualization with JavaScript shows developers how to create impressive data visualizations for the web, including animated charts and interactive maps. 606 $aInformation visualization$xData processing 606 $aJavaScript (Computer program language) 615 0$aInformation visualization$xData processing. 615 0$aJavaScript (Computer program language) 676 $a005.2/762 700 $aThomas$b Stephen A.$f1962-$01569541 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910797289203321 996 $aData visualization with JavaScript$93842496 997 $aUNINA