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Detecting Anomalies in Dynamic Rating Data: A Robust Probabilistic Model for Rating Evolution
Stephan Günnemann
Video in druga učna gradiva
Oznake: computer science;data mining;knowledge extraction
Rating data is ubiquitous on websites such as Amazon, TripAdvisor, or Yelp. Since ratings are not static but given at various points in time, a temporal analysis of rating data provides deeper insights into the evolution of a product's quality. In this work, we tackle the following question: Given t ...
Leto: 2014 Vir: videolectures.net
DB-CSC: A density-based approach for subspace clustering in graphs with feature vectors
Data & Web Mining Lab , Stephan Günnemann
Video in druga učna gradiva
Oznake: computer science;network analysis;machine learning;clustering;unsupervised learning
Data sources representing attribute information in combination with network information are widely available in today's applications. To realize the full potential for knowledge extraction, mining techniques like clustering should consider both information types simultaneously. Recent clustering app ...
Leto: 2011 Vir: videolectures.net
Št. zadetkov: 2
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