@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}
}
@conference {15889,
	title = {Effects of term segmentation on Chinese/English cross-language information retrieval},
	booktitle = {String Processing and Information Retrieval Symposium, 1999 and International Workshop on Groupware},
	year = {1999},
	month = {1999///},
	pages = {149 - 157},
	publisher = {IEEE},
	organization = {IEEE},
	abstract = {The majority of recent Cross-Language Information Retrieval (CLIR) research has focused on European languages. CLIR problems that involve East Asian languages such as Chinese introduce additional challenges, because written Chinese texts lack boundaries between terms. The paper examines three Chinese segmentation techniques in combination with two variants of dictionary-based Chinese to English query translation. The results indicate that failure to segment terms, particularly technical terms and names, can have a cascading effect that reduces retrieval effectiveness. Task-tuned segmentation algorithms and alternative term weighting strategies are suggested as productive directions for future work},
	keywords = {alternative term weighting strategies, cascading effect, Chinese segmentation techniques, Chinese/English cross-language information retrieval, Chromium, CLIR problems, Cross-Language Information Retrieval research, data mining, Dictionaries, dictionary-based Chinese, East Asian languages, English query translation, European languages, future work, Information retrieval, language translation, linguistics, natural language processing, natural languages, productive directions, Reactive power, retrieval effectiveness, task-tuned segmentation algorithms, technical terms, term segmentation, text analysis, written Chinese texts},
	isbn = {0-7695-0268-7},
	doi = {10.1109/SPIRE.1999.796590},
	author = {Oard, Douglas and Wang,Jianqiang}
}
