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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Invited Talk at Asian Conference on Machine Learning (ACML) 2016
I was very happy to be invited to give an invited talk at the 8th Asian Conference on Machine Learning
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IoT Big Data Stream Mining Tutorial at KDD 2016
We presented this week our tutorial “IoT Big Data Stream Mining” at KDD 2016 in San Francisco. This tutorial was
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Short Course in Data Stream Mining
Slides of a short course in Data Stream Mining, presenting classification methods, adaptive change detection, clustering and frequent pattern mining.
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
Continue readingExtreme Classification: Classify Wikipedia documents into one of 325,056 categories
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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Resources to learn Big Data Analytics
A list of books and resources that are available online for learning Data Science: Industry Mc Kinsey Big data: The
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