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    • Thanks for the success of the 4th SmartData@PoliTO Workshop!
    • 4th Open SmartData@PoliTO Workshop
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    • Issues in Spatial Databases and Geographic Information Systems (GIS)
    • Does big data mean big knowledge?
    • A new approach to machine learning via group equivariant non-expansive operators and topological data analysis
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    • PhD Course: Introduction to Random Matrices – Theory and Practice
    • Alta Scuola Politecnica: Winter School 2019
    • PhD Course: Data Science for Networks
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Home » Publications » Planning stock portfolios by means of weighted frequent itemsets

Planning stock portfolios by means of weighted frequent itemsets

Elena Baralis, Luca Cagliero, and Paolo Garza (2017) Planning stock portfolios by means of weighted frequent itemsets, In: EXPERT SYSTEMS WITH APPLICATIONS, pp. 1-17, ISSN: 0957-4174

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