Advances in Intelligent Data Analysis XII

Data, Not Dogma: Big Data, Open Data, and the Opportunities Ahead.- Computational Techniques for Crop Disease Monitoring in the Developing World.- Subjective Interestingness in Exploratory Data Mining.- Time Point Estimation of a Single Sample from High Throughput Experiments Based on Time-Resolved Data and Robust Correlation Measures.- Detecting Events in Molecular Dynamics Simulations.- Graph Clustering by Maximizing Statistical Association Measures.- Evaluation of Association Rule Quality Measures through Feature Extraction.- Towards Comprehensive Concept Description Based on Association Rules.- CD-MOA: Change Detection Framework for Massive Online Analysis.- Integrating Multiple Studies of Wheat Microarray Data to Identify Treatment-Specific Regulatory Networks.- Finding Frequent Patterns in Parallel Point Processes.- Behavioral Clustering for Point Processes.- Estimating Prediction Certainty in Decision Trees.- Interactive Discovery of Interesting Subgroup Sets.- Gaussian Mixture Models for Time Series Modeling, Forecasting, and Interpolation.- When Does Active Learning Work.- Order Span: Mining Closed Partially Ordered Patterns.- Learning Multiple Temporal Matching for Time Series Classification.- On the Importance of Nonlinear Modeling in Computer Performance Prediction.- Diversity-Driven Widening.- Towards Indexing of Web3D Signing Avatars.- Variational Bayesian PCA versus k -NN on a Very Sparse Reddit Voting Dataset.- Analysis of Cluster Structure in Large-Scale English Wikipedia Category Networks.- 1d-SAX: A Novel Symbolic Representation for Time Series.- Learning Models of Activities Involving Interacting Objects.- Correcting the Usage of the Hoeffding Inequality in Stream Mining.- Exploratory Data Analysis through the Inspection of the Probability Density Function of the Number of Neighbors.- The Modeling of Glaucoma Progression through the Use of Cellular Automata.- Towards Narrative Ideation via Cross-Context Link Discovery Using BandedMatrices.- Gaussian Topographic Co-clustering Model.- Preventing Churn in Telecommunications: The Forgotten Network.- Computational Properties of Fiction Writing and Collaborative Work.- Classifier Evaluation with Missing Negative Class Labels.- Dynamic MMHC: A Local Search Algorithm for Dynamic Bayesian Network Structure Learning.- Accurate Visual Features for Automatic Tag Correction in Videos.- Ontology Database System and Triggers.- A Policy Iteration Algorithm for Learning from Preference-Based Feedback.- Multiclass Learning from Multiple Uncertain Annotations.- Learning Compositional Hierarchies of a Sensorimotor System.