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Graph Pattern Mining for Business Decision Support

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Petermann, A.
Graph Pattern Mining for Business Decision Support
VLDB PhD Workshop 2017
2017-08

Description

To which extent can graph pattern mining enrich business intelligence? This question was the seed whose sprout became my PhD research. To find an answer, I investigated graph-based data integration, the calculation of business measures from graphs and suitable data mining techniques based thereon. The latter should identify correlations between occurrences of specific graph patterns and values of business measures. Finally, interesting patterns should be presented to decision makers. With real world applications in mind, I additionally considered the requirements of big data scenarios at all stages. In this paper, I summarize my recent contributions and give an outlook on the work required to finally answer the motivating question.