Classification, Clustering, Data Analysis and Data Mining I

Classification, Clustering, Data Analysis and Data Mining I

Session Chair: To be assigned

Session Chair: To be assigned

06/07, 14:30 - 16:30, Room 10A

06/07, 14:30 - 16:30, Room 10A

• Finding Multi-Density Clusters in Non-Stationary Data Streams Using an Ant Colony with Adaptive Parameters. Conor Fahy, Shengxiang Yang and Mario Gongora
• Vector Representation of Non-standard Spellings Using Dynamic Time Wrapping and a Denoising Autoencoder. Mehdi Ben Lazreg, Morten Goodwin and Ole-Christoffer Granmo
• Unsupervised Method to Ensemble Results of Multiple Clustering Solutions for Bibliographic Data. Sumit Mishra, Sriparna Saha and Samrat Mondal
• Many-objective optimization for Community Detection in multi-layer networks. Clara Pizzuti and Annalisa Socievole
• An Improved Multiobjective Evolutionary Approach for Community Detection in Multilayer Networks. Wenfeng Liu, Shanfeng Wang, Maoguo Gong and Mingyang Zhang
• Probabilistic Graphs to Model Pseudomonas aeruginosa Survival Mechanism and Infer Low Nutrient Water Response Genes. Bertrand Sodjahin, Vivekanandan Suresh Kumar, Lewenza Shawn and Shauna Reckseidler-Zenteno