Titlebook: Machine Learning and Knowledge Discovery in Databases; European Conference, Michele Berlingerio,Francesco Bonchi,Georgiana Ifr Conference p

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Conference proceedings 2019lysis; online and active learning; pattern and sequence mining; probabilistic models and statistical methods; recommender systems; and transfer learning.?. Part III: ADS data science applications; ADS e-commerce; ADS engineering and design; ADS financial and security; ADS health; ADS sensing and positioning; nectar track; and demo track..

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Machine Learning and Knowledge Discovery in DatabasesEuropean Conference,

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Michele Berlingerio,Francesco Bonchi,Georgiana Ifr

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Temporally Evolving Community Detection and Prediction in Content-Centric Networksonal form, but in a way that takes into account the temporal continuity of these embeddings. Such an approach simplifies temporal analysis of the underlying network by using the embedding as a surrogate. A consequence of this simplification is that it is also possible to use this temporal sequence o

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Local Topological Data Analysis to Uncover the Global Structure of Data Approaching Graph-Structuredurcation points in the topology underlying the data. It then uses this information to piece together a graph that is homeomorphic to the unknown one-dimensional stratified space underlying the point cloud data. We evaluate our method on a number of artificial and real-life data sets, demonstrating i

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Similarity Modeling on Heterogeneous Networks via Automatic Path Discoveryiscover useful paths for pairs of nodes under both structural and content information. To this end, we combine continuous reinforcement learning and deep content embedding into a novel semi-supervised joint learning framework. Specifically, the supervised reinforcement learning component explores us