Explore projects
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Repository for climbing tourists visits prediction
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Index calculation for spi, spei, rr anomalies, etc. Provided by ARSO.
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End-to-end RSS news classification app using Spark MLlib, Kafka, Flask/RxJS
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Collections of sample use cases using openEO with the EURAC back-end.
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Docker for the operational calculation of the soil moisture anomalies (SMA)
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End-to-end 'wikipedia monitor' Docker Compose application using Kafka, Spark, RxJS/ECharts
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End-to-end 'news tag cloud' Docker Compose application with Kafka Connect, Schema Registry, a Kafka producer/consumer processor, and a Java web-app frontend
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End-to-end 'wikipedia edit statistics' Docker Compose application using Kafka producer/consumer API, RxJS/ECharts
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Dataset created and used within the context of the study published in the paper entitled "Expected and Experienced Utility of Points of Interest in Tourism Recommender Systems" that has been published at the 31st ACM Conference on User Modeling, Adaptation and Personalization (UMAP '23).
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