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H.-J. Appelrath, H. Behrends, H. Jasper, and V. Kamp. Active database technology supports cancer clustering. In Proceedings of the first International Conference on Applications of Databases, number 819 in LNCS, 1994.

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A Survey of Active Database Systems - Hong (1997)   (Correct)

....data mining [KNHH94] In high data volume dynamic environments, active rules can be used to trigger knowledge discovery algorithms to continuously evaluate and propose data patterns as new information arrives. Automatic triggering of statistical tests can be useful in detecting cancer clusters [ABJK94]. As new cases come in, sophisticated tests can be performed to look for geographical or social clustering of disease incidence, and specialists in particular areas (e.g. leukaemia) can be notified. This application would also benefit from an extension of the basic active model to include an ....

H.J. Appelrath, H. Behrends, H. Jasper, V. Kamp, "Active database technology supports cancer clustering," in Applications of Databases, 1st International Conference ADB-94, Vadstena, Sweden, pp. 351-364. Springer, LNCS 819 (1994).


MOA: A hybride multidimensional data model for.. - Based On..   Self-citation (Kamp)   (Correct)

....around a nuclear power station, geographic information is needed. In general, health data has to be related with various forms of environmental data. The CARESS software system supports the necessary multidimensional analysis of all these forms of data by advanced analysis and database technology [1]. Its architecture focuses on extensive interoperability between a database management system and several analysis and visualisation tools. Following the multidimensional data analysis model presented in figure 1 several application layers (data integration, querying, analysis, visual presentation ....

.... CountQA Using EpiCubeClass.setElement0 quantifying data val ues can be inserted into the defined three dimensional data space. To perform analysis operations we have to build an instance with corresponding local dimensions: Define EpiCubeClass eccl init: IokalDimList[1] : cJass.global DimList[1] getExtensionO ; aggregates[1 ] 0 IokalDimList[2] cJass.globalDimList[2] getExtensionO; aggregates[2] 0 IokalDimList[3] cJss.globalDimList[3] getExtensionO; The following sequence of operations computes for example the amount of all male cancer cases in the ....

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H.-J. Appelrath, H. Behrends, H. Jasper, and V. Kamp. Active database technology supports cancer clustering. In Proceedings of the first International Conference on Applications of Databases, number 819 in LNCS, 1994.


An Operational Semantics for the Activity Description Language ADL - Behrends (1994)   Self-citation (Behrends)   (Correct)

....third layer of AIDE contains the tools that shall support the user during the development process. We offer a graphical modelling tool, a data and rule browser and a simulation based debugging tool [Behr94] Furthermore, we have implemented with AIDE an application for cancer cluster clustering [ABJK94, ABJO93] and are working on an application for supporting the software engineering process [Jas94] 4 An Operational Sematics for ADL This section gives a definition of the evolving algebra A ADL for ADL. Due to space limitation we confine the formal description of ADL to the features concerning the ....

H.-J. Appelrath, H. Behrends, H. Jasper, V. Kamp: "Active Database Technology Supports Cancer Cluster Clustering", Proc. ADB-94 Proc. International Conference on Applications of Databases, Sweden, 1994.


Case Studies on Active Database Applications: Lessons.. - Appelrath, Behrends.. (1995)   Self-citation (Appelrath Behrends Jasper)   (Correct)

....a condition check. For complex events the sequence and count operators are applied. Additionally, time constraints on the combined events and conditions on the state of the database (usually number of stored cases of interest) are used. More results from the Active INEKS project can be found in [ABJK94] 3.3 Active Repository The various activities necessary for constructing a software product are described by software process models. Many of the actions mentioned therein are supported by tools that use a repository in order to create, manipulate, generate, etc. the deliverables. The process ....

H.-J. Appelrath, H. Behrends, H. Jasper, and V. Kamp. Active database technology supports cancer clustering. In Proc. First Intl. Conf. on Applications of Databases (ADB--94), LNCS 819, pages 351--364, Vadstena, Sweden, 1994.


Intelligent Support for Multidimensional Data Analysis in.. - Kamp, Wietek (1997)   Self-citation (Kamp)   (Correct)

....and differentiated data about cancer diseases, death and complementary health related and environmental data. Besides, they offer new chances and methods to support epidemiological research for monitoring the development of diseases, especially cancer, by modern analysis and database technology [ABJK94] and interactive appropriate visualisation mechanisms. Indispensable for modern health reports are descriptive epidemiological studies which are used to evaluate the data. Descriptive epidemiology is population based and not related to individual cases. It deals with the occurrence of diseases, ....

H.-J. Appelrath, H. Behrends, H. Jasper, and V. Kamp. Active database technology supports cancer clustering. In Proceedings of the first International Conference on Applications of Databases, number 819 in LNCS, 1994.


Intelligent Support for Multidimensional Data Analysis in.. - Kamp, Wietek (1997)   Self-citation (Kamp)   (Correct)

.... differentiated data about cancer diseases, death and complementary health related and environmental data [8] Besides, they offer new chances and methods to support epidemiological research for monitoring the development of diseases, especially cancer, by modern analysis and database technology [2] and appropriate interactive visualisation mechanisms. Indispensable for modern health reports are descriptive epidemiological studies used to evaluate the data. Descriptive epidemiology is population based and not related to individual cases. It deals with the occurrence of diseases, their ....

H.-J. Appelrath, H. Behrends, H. Jasper, and V. Kamp. Active Database Technology Supports Cancer Clustering. In Proceedings of the first International Conference on Applications of Databases, number 819 in LNCS, 1994.


Database System Support for Multidimensional Data Analysis in.. - Vera Kamp   Self-citation (Kamp)   (Correct)

....and differentiated data about cancer diseases, death and complementary health related and environmental data. Besides, they offer new chances and methods to support epidemiological research for monitoring the development of diseases, especially cancer, by modern analysis and database technology [3] and interactive appropriate visualisation mechanisms. Indispensable for modern health reports are descriptive epidemiological studies which are used to evaluate the data. Descriptive epidemiology is population based and not related to individual cases. It deals with the occurrence of diseases, ....

H.-J. Appelrath, H. Behrends, H. Jasper, and V. Kamp. Active database technology supports cancer clustering. In Proceedings of the first International Conference on Applications of Databases, number 819 in LNCS, 1994.


A Spatial Data Cube Concept to Support Data Analysis in.. - Kamp, Sitzmann, Wietek   Self-citation (Kamp)   (Correct)

....around a nuclear power station, geographic information is needed. In general, health data has to be related with various forms of environmental data. The CARESS software system supports the necessary multidimensional analysis of all these forms of data by advanced analysis and database technology [1]. Its architecture focuses on extensive interoperability between a database management system and several analysis and visualisation tools. 2. Analysis process model The CARESS architecture follows the multidimensional data analysis model presented in figure 1. This model consists of several ....

H.-J. Appelrath, H. Behrends, H. Jasper, and V. Kamp. Active database technology supports cancer clustering. In Proceedings of the first International Conference on Applications of Databases, number 819 in LNCS, 1994.

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