BEGIN:VCALENDAR PRODID:-//Microsoft Corporation//Outlook 14.0 MIMEDIR//EN VERSION:2.0 METHOD:PUBLISH X-MS-OLK-FORCEINSPECTOROPEN:TRUE BEGIN:VTIMEZONE TZID:Eastern Standard Time BEGIN:STANDARD DTSTART:16011104T020000 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZOFFSETFROM:-0400 TZOFFSETTO:-0500 END:STANDARD BEGIN:DAYLIGHT DTSTART:16010311T020000 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 END:DAYLIGHT END:VTIMEZONE BEGIN:VEVENT CLASS:PUBLIC CREATED:20140911T195706Z DESCRIPTION:JHU/APL Colloquium - www.jhuapl.edu/colloquium\n\nTOPIC: Inform ation Visualization for Knowledge Discovery: Big Insights from Big Data\n\ nSPEAKER: Ben Shneiderman\, University of Maryland\n\nInteractive informat ion visualization tools provide researchers with remarkable capabilities t o support discovery from Big Data resources. Users can begin with an overv iew\, zoom in on areas of interest\, filter out unwanted items\, and then click for details-on-demand. The Big Data initiatives and commercial succe ss stories such as Spotfire and Tableau\, plus widespread use by prominent sites such as the New York Times have made visualization a key technology .\n\nThe central theme is the integration of statistics with visualization to support user discovery. Our work focuses on temporal event sequences such as found in electronic health records (www.cs.umd.edu/hcil/eventflow) \, and social network data such a twitter discussion patterns (www.codeple x.com/nodexl). The talk closes with 8 Golden Rules for Big Data.\n\nBEN S HNEIDERMAN (http://www.cs.umd.edu/~ben) is a Distinguished University Prof essor in the Department of Computer Science and Founding Director (1983-20 00) of the Human-Computer Interaction Laboratory (http://www.cs.umd.edu/hc il/) at the University of Maryland. He is a Fellow of the AAAS\, ACM\, an d IEEE\, and a Member of the National Academy of Engineering\, in recognit ion of his pioneering contributions to human-computer interaction and info rmation visualization. His contributions include the direct manipulation c oncept\, clickable web-link\, touchscreen keyboards\, dynamic query slider s for Spotfire\, development of treemaps\, innovative network visualizatio n strategies for NodeXL\, and temporal event sequence analysis for electro nic health records.\n\nBen is the co-author with Catherine Plaisant of Des igning the User Interface: Strategies for Effective Human-Computer Interac tion (5th ed.\, 2010) http://www.awl.com/DTUI/. With Stu Card and Jock Ma ckinlay\, he co-authored Readings in Information Visualization: Using Visi on to Think (1999). His book Leonardo’s Laptop appeared in October 2002 (MIT Press) and won the IEEE book award for Distinguished Literary Contri bution. His latest book\, with Derek Hansen and Marc Smith\, is Analyzing Social Media Networks with NodeXL (www.codeplex.com/nodexl\, 2010).\n\n DTEND;TZID="Eastern Standard Time":20141010T150000 DTSTAMP:20140911T195706Z DTSTART;TZID="Eastern Standard Time":20141010T140000 LAST-MODIFIED:20140911T195706Z LOCATION:Parsons Auditorium\, 1-S124 PRIORITY:5 SEQUENCE:0 SUMMARY;LANGUAGE=en-us:Colloquium - Ben Shneiderman - Information Visualiza tion for Knowledge Discovery: Big Insights from Big Data TRANSP:OPAQUE UID:040000008200E00074C5B7101A82E0080000000080976A6DE2B6CF01000000000000000 010000000F3666F241567FA47A2A5FAD002A2C9BD X-ALT-DESC;FMTTYPE=text/html:\n\n
\n\nJHU/APL Colloquium - www.jhuapl.edu/colloquium
\n\nTOPIC: Info rmation Visualization for Knowledge Discovery: Big Insights from Big Data< /FONT>
\n\n< SPAN LANG="en-us">S PEAKER: Ben Shneiderman \, University of Maryland
\n\nInteractive information visualization tools provide researchers wi th remarkable capabilities to support discovery from Big Data resources. U sers can begin with an overview\, zoom in on areas of interest\, filter ou t unwanted items\, and then click for details-on-demand. The Big Data init iatives and commercial success stories such as Spotfire and Tableau\, plus widespread use by prominent sites such as the New York Times have made vi sualization a key technology.
\n\nThe central theme is the integration of statistics with visualizat ion to support user discovery. \; Our work focuses on temporal event s equences such as found in electronic health records (www.cs.umd.edu/hcil/eventflow )\, and social network data such a twitter discussion patterns (< /SPAN>< SPAN LANG="en-us">< FONT COLOR="#0000FF" FACE="Arial">www.codeplex.com/nodexl). \; The talk closes with 8 Golden Rules for Big Data.< /SPAN>
\n\n\n\n
BEN SHNEIDERMAN (http://www.cs.umd.edu/~ben
)
SPAN> is a
Distinguished University Professor in the Department of Computer Science
and Founding Director (1983-2000) of the Human-Computer Interaction Labora
tory (http://www.cs.umd.edu/hcil/
FONT>)
at the University of Maryland. \; He is a Fellow o
f the AAAS\, ACM\, and IEEE\, and a Member of the National Academy of Engi
neering\, in recognition of his pioneering contributions to human-computer
interaction and information visualization. His contributions include the
direct manipulation concept\, clickable web-link\, touchscreen keyboards\,
dynamic query sliders for Spotfire\, development of treemaps\, innovative
network visualization strategies for NodeXL\, and temporal event sequence
analysis for electronic health records.
<
SPAN LANG="en-us">