Machine Learning and Data Mining in Pattern Recognition, 1st ed. 2017 13th International Conference, MLDM 2017, New York, NY, USA, July 15-20, 2017, Proceedings Lecture Notes in Artificial Intelligence Series
Coordonnateur : Perner Petra
Classification.- Clustering.- Association rule.- Pattern mining.- Specific data mining methods.- Different multi-media data types.- Image mining.- Text mining.- Video mining.- Web mining.
Includes supplementary material: sn.pub/extras
Date de parution : 07-2017
Ouvrage de 452 p.
15.5x23.5 cm
Thème de Machine Learning and Data Mining in Pattern Recognition :
Mots-clés :
data mining; machine learning; natural language processing; social network analysis; topic modeling; anomaly detection; association rule; bayesian network; big data; case-based reasoning; cellular networks; clustering; ensemble methods; feature extraction; fuzzy logic; information retrieval; sequential pattern mining; similarity measures; spatial data mining; SVM