Full Description
This book constitutes the refereed conference proceedings of the 14th International Conference on Intelligent Data Analysis, which was held in October 2015 in Saint Étienne. France. The 29 revised full papers were carefully reviewed and selected from 65 submissions. The traditional focus of the IDA symposium series is on end-to-end intelligent support for data analysis. The symposium aims to provide a forum for inspiring research contributions that might be considered preliminary in other leading conferences and journals, but that have a potentially dramatic impact. To facilitate this, IDA 2015 will feature two tracks: a regular "Proceedings" track, as well as a "Horizon" track for early-stage research of potentially ground-breaking nature.
Contents
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.
