LEADER 02977nam 2200385 450 001 9910765751203321 005 20230324124110.0 010 $a3-03842-804-3 035 $a(CKB)5400000000000259 035 $a(NjHacI)995400000000000259 035 $a(EXLCZ)995400000000000259 100 $a20230324d2018 uy 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aScalable interactive visualization /$fedited by Achim Ebert, Gunther H. Weber 210 1$aBasel, Switzerland :$cMDPI,$d[2018] 210 4$dİ2018 215 $a1 online resource (vii, 234 pages) $cillustrations 320 $aIncludes bibliographical references. 327 $aSathish Kottravel Riccardo Volpi Mathieu Linares Timo Ropinski and Ingrid Hotz 32 -- Mark Taylor 52 -- Sizhe Wang Wenwen Li and Feng Wang 70 -- Boris Kovalerchuk and Dmytro Dovhalets 87 -- Bjorn Zimmer Magnus Sahlgren and Andreas Kerren 114 -- Steffen Frey 134 -- Han Kruiger Almoctar HassoumiHansJrg Schulz Alex Telea Christophe Hurter 154 -- Jun Wang Alla Zelenyuk Dan Imre and Klaus Mueller 175 -- Jin Aristotelis Leventidis Haoming Shen Ruowang Zhang Junyue Wu 190 -- Joris Sansen Gaelle Richer Timothe Jourde Frederic Lalanne David Auber 213 -- Copyright. 330 $aData available in today's information society is ever growing in size and complexity--i.e., unstructured, multidimensional, uncertain, etc.--making it impossible to survey and understand this data. Traditionally, most of these datasets are stored and depicted as huge tables, hindering efficient retrieval of salient information--similarities, outliers, structures, origin, etc. Interactive visualization provides an interface to this data that can help gleaning valuable information from it, thus supporting better data understanding by significantly reducing cognitive load on the analyst. Two fundamental concepts, visualization and interaction, form the basis of the underlying scientific methods. Combining these concepts connects two key research areas in computer science: visualization and human-computer interaction (HCI) and brings together practitioners from many disciplines. The result is highly multi-disciplinary work with significant impact and virtually unlimited application areas. However, truly interactive visualizations are hard to design and implement, so researchers have to solve multiple problems. This Special Issue provides an overciew over the current state-of-the-art of "Interactive Visualization." It shows recent work in the field, as well as trends for future development. 606 $aInformation visualization 615 0$aInformation visualization. 676 $a001.4226 702 $aEbert$b Achim 702 $aWeber$b Gunther H. 801 0$bNjHacI 801 1$bNjHacl 906 $aBOOK 912 $a9910765751203321 996 $aScalable Interactive Visualization$92937416 997 $aUNINA