TY - GEN
T1 - A visual interface for multivariate temporal data
T2 - IEEE Symposium on Visual Analytics Science and Technology 2006, VAST 2006
AU - Fails, Jerry Alan
AU - Karlson, Amy
AU - Shahamat, Layla
AU - Shneiderman, Ben
N1 - IEEE Xplore. Delivering full text access to the world's highest quality technical literature in engineering and technology.
PY - 2006
Y1 - 2006
N2 - Finding patterns of events over time is important in searching patient histories, web logs, news stories, and criminal activities. This paper presents PatternFinder, an integrated interface for query and result-set visualization for search and discovery of temporal patterns within multivariate and categorical data sets. We define temporal patterns as sequences of events with interevent time spans. PatternFinder allows users to specify the attributes of events and time spans to produce powerful pattern queries that are difficult to express with other formalisms. We characterize the range of queries PatternFinder supports as users vary the specificity at which events and time spans are defined. Pattern Finder's query capabilities together with coupled ball-and-chain and tabular visualizations enable users to effectively query, explore and analyze event patterns both within and across data entities (e.g. patient histories, terrorist groups, web logs, etc.).
AB - Finding patterns of events over time is important in searching patient histories, web logs, news stories, and criminal activities. This paper presents PatternFinder, an integrated interface for query and result-set visualization for search and discovery of temporal patterns within multivariate and categorical data sets. We define temporal patterns as sequences of events with interevent time spans. PatternFinder allows users to specify the attributes of events and time spans to produce powerful pattern queries that are difficult to express with other formalisms. We characterize the range of queries PatternFinder supports as users vary the specificity at which events and time spans are defined. Pattern Finder's query capabilities together with coupled ball-and-chain and tabular visualizations enable users to effectively query, explore and analyze event patterns both within and across data entities (e.g. patient histories, terrorist groups, web logs, etc.).
KW - Information visualization
KW - Temporal query
KW - User interface
UR - http://www.scopus.com/inward/record.url?scp=39049124290&partnerID=8YFLogxK
UR - http://dx.doi.org/10.1109/VAST.2006.261421
U2 - 10.1109/VAST.2006.261421
DO - 10.1109/VAST.2006.261421
M3 - Conference contribution
AN - SCOPUS:39049124290
SN - 1424405912
SN - 9781424405916
T3 - IEEE Symposium on Visual Analytics Science and Technology 2006, VAST 2006 - Proceedings
SP - 167
EP - 174
BT - IEEE Symposium on Visual Analytics Science and Technology 2006, VAST 2006 - Proceedings
Y2 - 31 October 2006 through 2 November 2006
ER -
