Abstract is missing.
- Greedy Graph Edit DistanceKaspar Riesen, Miquel Ferrer, Rolf Dornberger, Horst Bunke. 3-16 [doi]
- Learning Heuristics to Reduce the Overestimation of Bipartite Graph Edit Distance ApproximationMiquel Ferrer, Francesc Serratosa, Kaspar Riesen. 17-31 [doi]
- Seizure Prediction by Graph Mining, Transfer Learning, and Transformation LearningNimit Dhulekar, Srinivas Nambirajan, Basak Oztan, Bülent Yener. 32-52 [doi]
- Local and Global Genetic Fuzzy Pattern ClassifiersSøren Atmakuri Davidsen, E. Sreedevi, M. Padmavathamma. 55-69 [doi]
- IKLTSA: An Incremental Kernel LTSA MethodChao Tan, Jihong Guan, Shuigeng Zhou. 70-83 [doi]
- SentiSAIL: Sentiment Analysis in English, German and RussianGayane Shalunts, Gerhard Backfried. 87-97 [doi]
- Sentiment Analysis for Government: An Optimized ApproachAngelo Corallo, Laura Fortunato, Marco Matera, Marco Alessi, Alessio Camillo, Valentina Chetta, Enza Giangreco, Davide Storelli. 98-112 [doi]
- A Novel Algorithm for the Integration of the Imputation of Missing Values and ClusteringRoni Ben Ishay, Maya Herman. 115-129 [doi]
- Improving the Algorithm for Mapping of OWL to Relational Database SchemaChien D. C. Ta, Tuoi Phan Thi. 130-139 [doi]
- Robust Principal Component Analysis of Data with Missing ValuesTommi Kärkkäinen, Mirka Saarela. 140-154 [doi]
- Efficient Mining of High-Utility Sequential RulesSouleymane Zida, Philippe Fournier-Viger, Cheng-Wei Wu, Jerry Chun-Wei Lin, Vincent S. Tseng. 157-171 [doi]
- MOGACAR: A Method for Filtering Interesting Classification Association RulesDiana Benavides Prado. 172-183 [doi]
- Classifying Grasslands and Cultivated Pastures in the Brazilian Cerrado Using Support Vector Machines, Multilayer Perceptrons and AutoencodersWanderson Costa, Leila Maria Garcia Fonseca, Thales Sehn Körting. 187-198 [doi]
- Hybrid Approach for Inductive Semi Supervised Learning Using Label Propagation and Support Vector MachineAruna Govada, Pravin Joshi, Sahil Mittal, Sanjay Kumar Sahay. 199-213 [doi]
- Optimizing the Data-Process Relationship for Fast Mining of Frequent Itemsets in MapReduceSaber Salah, Reza Akbarinia, Florent Masseglia. 217-231 [doi]
- Aggregation-Aware Compression of Probabilistic Streaming Time SeriesReza Akbarinia, Florent Masseglia. 232-247 [doi]
- Applying Clustering Analysis to Heterogeneous Data Using Similarity Matrix Fusion (SMF)Aalaa Mojahed, Joao H. Bettencourt-Silva, Wenjia Wang, Beatriz de la Iglesia. 251-265 [doi]
- On Bicluster Aggregation and its Benefits for Enumerative SolutionsSaullo Haniell Galvão de Oliveira, Rosana Veroneze, Fernando J. Von Zuben. 266-280 [doi]
- Semi-Supervised Stream Clustering Using Labeled Data PointsKritsana Treechalong, Thanawin Rakthanmanon, Kitsana Waiyamai. 281-295 [doi]
- Avalanche: A Hierarchical, Divisive Clustering AlgorithmPaul K. Amalaman, Christoph F. Eick. 296-310 [doi]
- Author Attribution of Email Messages Using Parse-Tree FeaturesJagadeesh Patchala, Raj Bhatnagar, Sridharan Gopalakrishnan. 313-327 [doi]
- Query Click and Text Similarity Graph for Query SuggestionsD. Sejal, K. G. Shailesh, V. Tejaswi, Dinesh Anvekar, K. R. Venugopal, S. Sitharama Iyengar, Lalit M. Patnaik. 328-341 [doi]
- Offline Writer Identification in Tamil Using Bagged Classification TreesSudarshan Babu. 342-354 [doi]
- Data Analysis for Courses RegistrationNada Alzahrani, Rasha Alsulim, Nourah Alaseem, Ghada Badr. 357-367 [doi]
- Learning the Relationship Between Corporate Governance and Company Performance Using Data MiningDarie Moldovan, Simona Mutu. 368-381 [doi]
- A Bayesian Approach to Sparse Learning-to-Rank for Search Engine OptimizationOlga Krasotkina, Vadim Mottl. 382-394 [doi]
- Data Driven Geometry for LearningElizabeth P. Chou. 395-402 [doi]
- Mining Educational Data to Predict Students' Academic PerformanceMona Al-Saleem, Norah Al-Kathiry, Sara Al-Osimi, Ghada Badr. 403-414 [doi]
- Patient-Specific Modeling of Medical DataGuilherme Alberto Sousa Ribeiro, Alexandre César Muniz de Oliveira, Antonio Luiz S. Ferreira, Shyam Visweswaran, Gregory F. Cooper. 415-424 [doi]
- A Bayesian Approach to Sparse Cox Regression in High-Dimentional Survival AnalysisOlga Krasotkina, Vadim Mottl. 425-437 [doi]
- Automatic Cell Tracking and Kinetic Feature Description of Cell Paths for Image MiningPetra Perner. 441-451 [doi]