VHT: Vertical Hoeffding Tree
In this paper we present the Vertical Hoeffding Tree (VHT), the first distributed streaming algorithm for learning decision trees. It
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Keynote Talk at Business Applications of Social Network Analysis (BASNA) 2014
I was happy to be invited to give a keynote talk at BASNA 2014, the 5th International Workshop on Business
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Big Data Stream Mining Tutorial at IEEE Big Data 2014
Gianmarco de Francisci Morales presented this week our tutorial “Big Data Stream Mining” at IEEE Big Data 2014 in Washington
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Extreme Classification: Classify Wikipedia documents into one of 325,056 categories
Extreme classification, where one needs to deal with multi-class and multi-label problems involving a very large number of categories, has
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Evolving Data Stream Classification and the Illusion of Progress
Data is being generated in real-time in increasing quantities and the distribution generating this data may be changing and evolving.
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Mining Big Data in Real Time
Streaming data analysis in real time is becoming the fastest and most efficient way to obtain useful knowledge from what