@conference {16951,
	title = {A Visual Interface for Multivariate Temporal Data: Finding Patterns of Events across Multiple Histories},
	booktitle = {Visual Analytics Science And Technology, 2006 IEEE Symposium On},
	year = {2006},
	month = {2006/11/31/Oct. },
	pages = {167 - 174},
	publisher = {IEEE},
	organization = {IEEE},
	abstract = {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 inter-event 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{\textquoteright}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.)},
	keywords = {ball-and-chain visualization, Chromium, Computer science, Data analysis, data visualisation, Data visualization, Database languages, event pattern discovery, Graphical user interfaces, History, Information Visualization, Medical treatment, multivariate temporal data, Pattern analysis, pattern recognition, PatternFinder integrated interface, Query processing, query visualization, result-set visualization, Spatial databases, tabular visualization, temporal pattern discovery, temporal pattern searching, Temporal query, user interface, User interfaces, visual databases, visual interface},
	isbn = {1-4244-0591-2},
	doi = {10.1109/VAST.2006.261421},
	author = {Fails,J. A and Karlson,A. and Shahamat,L. and Shneiderman, Ben}
}
@article {16764,
	title = {Incremental implementation model for relational databases with transaction time},
	journal = {IEEE Transactions on Knowledge and Data Engineering},
	volume = {3},
	year = {1991},
	month = {1991/12//},
	pages = {461 - 473},
	abstract = {An implementation model for the standard relational data model extended with transaction time is presented. The implementation model integrates techniques of view materialization, differential computation, and deferred update into a coherent whole. It is capable of storing any view (reflecting past or present states) and subsequently using stored views as outsets for incremental and decremental computations of requested views, making it more flexible than previously proposed partitioned storage models. The working and the expressiveness of the model are demonstrated by sample queries that show how historical data are retrieved},
	keywords = {Computational modeling, Computer science, Data models, data retrieval, Database languages, Database systems, database theory, decremental computations, deferred update, Degradation, differential computation, historical data, History, incremental computations, Information retrieval, partitioned storage models, queries, relational data model, Relational databases, stored views, Transaction databases, transaction time, view materialization},
	isbn = {1041-4347},
	doi = {10.1109/69.109107},
	author = {Jensen,C. S and Mark,L. and Roussopoulos, Nick}
}
@article {16791,
	title = {An efficient pictorial database system for PSQL},
	journal = {IEEE Transactions on Software Engineering},
	volume = {14},
	year = {1988},
	month = {1988/05//},
	pages = {639 - 650},
	abstract = {Pictorial databases require efficient and direct spatial search based on the analog form of spatial objects and relationships instead of search based on some cumbersome alphanumeric encodings of the pictures. A description is given of PSQL, a query language that allows pictorial domains to be presented to the user in their analog form and allows him or her to do direct manipulation on the objects found on those domains. Direct spatial search and computation on the pictures is done using efficient data structures, R- and R+-trees (multidimensional B-trees), which are excellent devices for searching spatial objects and relationships found on pictures},
	keywords = {alphanumeric encodings, Computer science, Data structures, Database languages, database management systems, Database systems, Encoding, Image coding, Image databases, multidimensional B-trees, Object oriented databases, pictorial database system, PSQL, query language, query languages, R+-trees, Relational databases, Spatial databases, spatial objects, spatial search, User interfaces},
	isbn = {0098-5589},
	doi = {10.1109/32.6141},
	author = {Roussopoulos, Nick and Faloutsos,C. and Sellis,T.}
}
