Abstract
A goal hierarchy consists of a strategic goal, decision goals, information goals and tasks. The goal hierarchy can provide a decision maker different ways in which the data can be analysed in order to achieve a strategic goal. In our earlier work, we built a goal hierarchy for a query session, using OLAP query recommendation technique. It is possible to build more than one goal hierarchy for a given strategic goal if multiple query sessions are used. In this paper, we propose an integration technique. It is a mixed approach where decision goals and information goals are integrated top-down and tasks are integrated bottom-up. The result of integration of multiple goal hierarchies is a new goal hierarchy with a unified view of analysis in order to identify the different perspectives of analysis in a single diagram.
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Parimala, N., Ranjan, R.K. (2019). Integration of Goal Hierarchies Built Using Multiple OLAP Query Sessions. In: Nayak, J., Abraham, A., Krishna, B., Chandra Sekhar, G., Das, A. (eds) Soft Computing in Data Analytics . Advances in Intelligent Systems and Computing, vol 758. Springer, Singapore. https://doi.org/10.1007/978-981-13-0514-6_43
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DOI: https://doi.org/10.1007/978-981-13-0514-6_43
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