Differenze
Queste sono le differenze tra la revisione selezionata e la versione attuale della pagina.
| Entrambe le parti precedenti la revisioneRevisione precedenteProssima revisione | Revisione precedente |
| magistraleinformatica:dmi:start [29/10/2026 alle 11:07 (6 giorni fa)] – [First Semester] Anna Monreale | magistraleinformatica:dmi:start [29/10/2026 alle 11:28 (6 giorni fa)] (versione attuale) – [First Semester] Anna Monreale |
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| |15. | 20.10 |Time series analysis: Motif discovery + Q&A on the project|{{ :magistraleinformatica:dmi:time_series_motif-2026.pdf |}} | {{ :magistraleinformatica:dmi:matrixprofile.pdf |}} [[https://www.cs.ucr.edu/~eamonn/MatrixProfile.html|Papers and resourse on motif]]| Monreale, Mannocci | | |15. | 20.10 |Time series analysis: Motif discovery + Q&A on the project|{{ :magistraleinformatica:dmi:time_series_motif-2026.pdf |}} | {{ :magistraleinformatica:dmi:matrixprofile.pdf |}} [[https://www.cs.ucr.edu/~eamonn/MatrixProfile.html|Papers and resourse on motif]]| Monreale, Mannocci | |
| |16. | 22.10 |Python Lab - Time series analysis: Preprocessing, Clustering & Motif discovery + Q&A on the project|{{ :magistraleinformatica:dmi:10_time_series.zip |}}| | Mannocci | | |16. | 22.10 |Python Lab - Time series analysis: Preprocessing, Clustering & Motif discovery + Q&A on the project|{{ :magistraleinformatica:dmi:10_time_series.zip |}}| | Mannocci | |
| |17. | 26.10 |Python Lab - Pattern Mining + Social Network Analysis Introduction (Theory and Python Lab)| {{ :magistraleinformatica:dmi:4_patternmining_2026.ipynb.zip |}} {{ :magistraleinformatica:dmi:social_network_analysis_2026.zip |}}| [[https://www.nature.com/articles/srep00196|Flavor network and the principles of food pairing]] | Mannocci | | |17. | 26.10 |Python Lab - Pattern Mining + Social Network Analysis Introduction (Theory and Python Lab)| {{ :magistraleinformatica:dmi:4_patternmining_2026.ipynb.zip |}} {{ :magistraleinformatica:dmi:social_network_analysis_2026.zip |}}| [[https://www.nature.com/articles/srep00196|Flavor network and the principles of food pairing]] [[https://d1wqtxts1xzle7.cloudfront.net/85768767/0906.0612v1-libre.pdf?1652125734=&response-content-disposition=inline%3B+filename%3DCommunity_detection_in_graphs.pdf&Expires=1793275277&Signature=gGWseP3welAubtnlnZ0vIS1iEZ6BPT-nBulvzzNV9j663C8b~gDyi69s5IthjntAqVbhOrCdzZTLCStWh8MkCIwzS6rmm78HnY99BkzC9vb~exqfoMnt94Gy5oRxmAWJczw1H54mJ3Um1ZPpSSU7DUTKgYjswf1rdHZELq9zGJDORHUlEZVTrQoxW4cGFpv5bPh28XrcdaYpk~KVy17ep9l~IPMgGTE08TCsMIoTFyZOLBe7F89ND7UkiWbHjxgFzKTsLLleaAdd0~2ZkDp0HBSvqe5Ds7vfSvXFGXrDSNYhTy6gGJ4aUu~cPSx~ErL1P2e9Y4DcgsrCnkDQEcdLcw__&Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA|Community detection in graphs]] [[https://onlinelibrary.wiley.com/share/IC8MKGVMFAC4NAMVXU7H?target=10.1002/sam.10133|A classification for community discovery methods in complex networks]] [[https://arxiv.org/abs/0803.0476|Fast unfolding of communities in large networks]] {{ :magistraleinformatica:dmi:collective_dynamics_of_small-world_networks.pdf |}} {{ :magistraleinformatica:dmi:mixing_patterns_in_networks.pdf |}}| Mannocci | |
| |18. | 27.10 |Clustering Heterogeneous and Multi-view data (Theory and Python Lab)|{{ :magistraleinformatica:dmi:clustering_heterogeneous_multiview_data_2026.zip |}} | | Mannocci | | |18. | 27.10 |Clustering Heterogeneous and Multi-view data (Theory and Python Lab)|{{ :magistraleinformatica:dmi:clustering_heterogeneous_multiview_data_2026.zip |}} | {{ :magistraleinformatica:dmi:paper_clustering_heterogeneous_2026.zip |}}| Mannocci | |
| |19. | 29.10 |Topic modeling: BERTopic (Theory and Python Lab)| {{ :magistraleinformatica:dmi:topicmodeling_bertopic_2026.zip |}}| | Mannocci | | |19. | 29.10 |Topic modeling: BERTopic (Theory and Python Lab)| {{ :magistraleinformatica:dmi:topicmodeling_bertopic_2026.zip |}}| {{ :magistraleinformatica:dmi:paper_topicmodeling_bertopic_2026.zip |}}| Mannocci | |
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