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S&P360: Multidimensional Perspective on Companies from Online Data Sources

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Part of the Lecture Notes in Computer Science book series (LNAI,volume 9286)

Abstract

We introduce S&P360, a system to analyse and explore multidimensional, online data related to companies, their financial news, and the social impact of them. Our system combines official and crowd-sourced data sources to offer a broad perspective on the impact of financial newsregarding a set of companies.

References

  1. Berlingerio, M., Pinelli, F., Calabrese, F.: ABACUS: frequent pattern mining-based community discovery in multidimensional networks. Data Min. Know. Dis. 27(3), 294–320 (2013)

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Correspondence to Michele Berlingerio .

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© 2015 Springer International Publishing Switzerland

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Berlingerio, M. et al. (2015). S&P360: Multidimensional Perspective on Companies from Online Data Sources. In: , et al. Machine Learning and Knowledge Discovery in Databases. ECML PKDD 2015. Lecture Notes in Computer Science(), vol 9286. Springer, Cham. https://doi.org/10.1007/978-3-319-23461-8_39

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  • DOI: https://doi.org/10.1007/978-3-319-23461-8_39

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-23460-1

  • Online ISBN: 978-3-319-23461-8

  • eBook Packages: Computer ScienceComputer Science (R0)