| | |
| An Iterative Learning Algorithm for Within-Network Regression in the Transductive Setting |
| | Appice, Annalisa; Malerba, Donato; Ceci, Michelangelo |
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| Detecting New Kinds of Patient Safety Incidents |
| | Bentham, James; Hand, David |
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| Using Data Mining for Wine Quality Assessment |
| | Cortez, Paulo; Reis, Jose; Matos, Telmo; Almeida, Fernando; Cerdeira, Antonio; Teixeira, Juliana |
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| MICCLLR: Multiple-Instance Learning using Class Conditional Log Likelihood Ratio |
| | EL-Manzalawy, Yasser; Honavar, Vasant |
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| On the Complexity of Constraint-Based Theory Extraction |
| | Gartner, Thomas; Boley, Mario |
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| Algorithm and Feature Selection for VegOut: |
| | Harms, Sherri; Tadesse, Tsegaye; Wardlow, Brian |
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| Regression Trees from Data Streams with Drift Detection |
| | Ikonomovska, Elena; Gama, Joao; Sebastiao, Raquel; Gjorgjevik, Dejan |
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| Mining Frequent Bipartite Episodes from Event Sequences |
| | Katoh, Takashi; Arimura, Hiroki; Hirata, Kouichi |
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| CHRONICLE: A Two-Stage Density-Based Clustering Algorithm for Dynamic Networks |
| | Kim, Min-Soo; Han, Jiawei |
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| Learning Large Margin First Order Decision Lists for Multi-class Classification |
| | Lodhi, Huma Mahmood; Mike J E, Sternberg; Muggleton, Stephen H |
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| Centrality Measures from Complex Networks in Active Learning |
| | Lopes, Alneu; Oliveira, Maria Cristina F; Motta, Robson |
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| Player Modeling for Intelligent Difficulty Adjustment |
| | Missura, Olana; Gartner, Thomas |
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| Unsupervised Fuzzy Clustering for the Segmentation and Annotation of Upwelling Regions in Sea Surface Temperature Images |
| | Nascimento, Susana; Franco, Pedro |
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| Discovering the Structures of Open Source Programs from Their Developer Mailing Lists |
| | Nguyen, Dinh Anh; Yamamoto, Akihiro; Doi, Koichiro |
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| A Comparison of Community Detection Algorithms on Artificial Networks |
| | Orman, Keziban; Labatut, Vincent |
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| Towards an Ontology of Data Mining Investigations |
| | Panov, Pance; Soldatova, Larisa; Dzeroski, Saso |
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| OMFP: An Approach for Online Mass Flow Prediction in CFB Boilers |
| | Pechenizkiy, Mykola; Zliobaite, Indre; Bakker, Jorn |
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| C-DenStream: Using Domain Knowledge for Clustering on Data Streams |
| | Ruiz, Carlos; Menasalvas, Ernestina; Spiliopoulou, Myra |
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| Discovering Influential Nodes for SIS models in Social Networks |
| | Saito, Kazumi; Motoda, Hiroshi; Kimura, Masahiro |
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| An Empirical Comparison of Probability Estimation Techniques for Probabilistic Rules |
| | Sulzmann, Jan-Nikolas; Fuernkranz, Johannes |
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| Precision and Recall for Regression |
| | Torgo, Luis; Ribeiro, Rita |
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| Mining Local Correlation Patterns in Sets of Sequences |
| | Ukkonen, Antti; |
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| Subspace Discovery for Promotion: A Cell Clustering Approach |
| | Wu, Tianyi; Han, Jiawei |
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| Contrasting Sequence Groups by Emerging Sequences |
| | Deng, Kang; Zaiane, Osmar |
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| A Sliding Window Algorithm for Relational Frequent Patterns Mining from Data Streams |
| | Fumarola, Fabio; Ciampi, Anna; Appice, Annalisa; Malerba, Donato |
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| A Hybrid Collaborative Filtering System for Contextual Recommendations in Social Networks |
| | Gonzalo-Alonso, Jorge; Iglesias, Carlos A.; Garcia-Hortelano, Elena; de Juan, Paloma |
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| Linear Programming Boosting by Column and Row Generation |
| | Hatano, Kohei; Takimoto, Eiji |
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| Discovering Abstract Concepts to Aid Cross-Map Transfer for a Learning Agent |
| | Herpson, Cedric; Corruble, Vincent |
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| A dialectic approach to problem-solving |
| | Martin, Eric; Sallantin, Jean |
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| Gene Functional Annotation with Dynamic Hierarchical Classification Guided by Orthologs |
| | Seki, Kazuhiro; Kino, Yoshihiro; Uehara, Kuniaki |
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| Stream Clustering of Growing Objects |
| | Siddiqui, Zaigham Faraz; Spiliopoulou, Myra |
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| Finding the k-Most Abnormal Subgraphs from a Single Graph |
| | Suzuki, Einoshin; Chou, Bin-Hui; Wang, JianBin |
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| Latent Topic Extraction from Relational Table for Record Matching |
| | Takasu, Atsuhiro; Akutsu, Tatsuya; Fukagawa, Daiji |
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| Computing a Comprehensible Model for Spam Filtering |
| | Trivino Rodriguez, Jose Luis; Morales Bueno, Rafael; Ruiz Sepulveda, Amparo |
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| Better Decomposition Heuristics for the Maximum-Weight Connected Graph Problem Using Betweenness Centrality |
| | Yamamoto, Takanori; Miyano, Satoru; Nagasaki, Masao; Bannai, Hideo |
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