Advances in Intelligent Data Analysis XIV [electronic resource] : 14th International Symposium, IDA 2015, Saint Etienne. France, October 22 -24, 2015. Proceedings / edited by Elisa Fromont, Tijl De Bie, Matthijs van Leeuwen.

Data analytics and optimization for assessing a ride sharing system -- Constraint-Based Querying for Bayesian Network Exploration -- Efficient Model Selection for Regularized Classification by Exploiting Unlabeled Data -- Segregation Discovery in a Social Network of Companies -- A first+-order-logic based model for grounded language learning -- A parallel distributed processing algorithm for image feature extraction -- Modeling concept drift: A probabilistic graphical model based approach -- Diversity-driven Widening of Hierarchical Agglomerative Clustering -- Batch Steepest-Descent-Mildest-Ascent for Interactive Maximum Margin Clustering -- Time Series Classification with Representation Ensembles -- Simultaneous Clustering and Model Selection for Multinomial Distribution: A Comparative Study -- On Binary Reduction of Large-scale Multiclass Classification Problems -- Probabilistic Active Learning in Data Streams -- Implicitly Constrained Semi-Supervised Least Squares Classification -- Diagonal Co-clustering Algorithm for Document-Word Partitioning -- I-Louvain: an attributed graph clustering method -- Class-based outlier detection: staying zombies or awaiting for resurrection? -- Using Metalearning for Prediction of Taxi Trip Duration Using Different Granularity Levels -- Using entropy as a measure of acceptance for multi-label classification -- Investigation of Node Deletion Techniques for Clustering Applications of Growing Self Organizing Maps -- Exploratory topic modeling with distributional semantics -- Assigning Geo-Relevance of Sentiments Mined from Location-Based Social Media Posts -- Continuous and Discrete Deep Classifiers for Data Integration -- A Bayesian Approach for Identifying Multivariate Differences Between Groups -- Automatically Discovering Offensive Patterns in Soccer Match Data -- Fast Algorithm Selection using Learning Curves -- Optimally Weighted Cluster Kriging for Big Data Regression -- Slower can be faster: The iRetis incremental model tree learner -- VoQs: A Web Application for Visualization of Questionnaire Surveys.