01867oam 2200433zu 450 991014120600332120241212220159.097814673015581467301558(CKB)2670000000131670(SSID)ssj0000669886(PQKBManifestationID)12241835(PQKBTitleCode)TC0000669886(PQKBWorkID)10715834(PQKB)10050846(NjHacI)992670000000131670(EXLCZ)99267000000013167020160829d2011 uy engur|||||||||||txtccr2011 IEEE Symposium on Large Data Analysis and Visualization[Place of publication not identified]IEEE20111 online resource (viii, 142 pages)Bibliographic Level Mode of Issuance: Monograph9781467301565 1467301566 Visualization of massively large datasets presents two significant problems. First, the dataset must be prepared for visualization, and traditional dataset manipulation methods fail due to lack of temporary storage or memory. The second problem is the presentation of the data in the visual media, particularly real-time visualization of streaming time series data. An ongoing research project addresses both these problems, using data from two national repositories. This work is presented here, with the results of the current effort summarized and future plans, including 3D visualization, outlined.Information visualizationInformation visualization.001.4226IEEE StaffPQKBPROCEEDING99101412060033212011 IEEE Symposium on Large Data Analysis and Visualization2529489UNINA