The dynamic HomeFinder: evaluating dynamic queries in a real-estate information exploration system
SIGIR '92 Proceedings of the 15th annual international ACM SIGIR conference on Research and development in information retrieval
Visual information seeking: tight coupling of dynamic query filters with starfield displays
CHI '94 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Dynamic Queries for Visual Information Seeking
IEEE Software
Dynamic information visualization
ACM SIGMOD Record
Interface and data architecture for query preview in networked information systems
ACM Transactions on Information Systems (TOIS)
SESAM: searching supported by analysis of metadata
Proceedings of the 2002 ACM symposium on Applied computing
Design and Evaluation of Incremental Data Structures and Algorithms for Dynamic Query Interfaces
INFOVIS '97 Proceedings of the 1997 IEEE Symposium on Information Visualization (InfoVis '97)
Interactive Information Visualization of a Million Items
INFOVIS '02 Proceedings of the IEEE Symposium on Information Visualization (InfoVis'02)
Visual exploration of large collections in digital libraries
Proceedings of the Latin American conference on Human-computer interaction
Query previews in networked information systems: the case of EOSDIS
CHI EA '97 CHI '97 Extended Abstracts on Human Factors in Computing Systems
IHM 2004 Proceedings of the 16th conference on Association Francophone d'Interaction Homme-Machine
DataMeadow: a visual canvas for analysis of large-scale multivariate data
Information Visualization - Special issue on visual analytics science and technology
Using active constructs in user-interfaces to object-oriented databases
IDEAS'97 Proceedings of the 1997 international conference on International database engineering and applications symposium
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Dynamic query interfaces (DQIs) form a recently developed method of database access that provides continuous realtime feedback to the user during the query formulation process. Previous work shows that DQIs are elegant and powerful interfaces to small databases. Unfortunately, when applied to large databases, previous DQI algorithms slow to a crawl. We present a new approach to DQI algorithms that works well with large databases.