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Advances in Intelligent Data Analysis XIII 13th International Symposium, IDA 2014, Leuven, Belgium, October 30 -- November 1, 2014. Proceedings /

This book constitutes the refereed conference proceedings of the 13th International Conference on Intelligent Data Analysis, which was held in October/November 2014 in Leuven, Belgium. The 33 revised full papers together with 3 invited papers were carefully reviewed and selected from 70 submissions...

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Détails bibliographiques
Cote:Libro Electrónico
Collectivité auteur: SpringerLink (Online service)
Autres auteurs: Blockeel, Hendrik (Éditeur intellectuel), van Leeuwen, Matthijs (Éditeur intellectuel), Vinciotti, Veronica (Éditeur intellectuel)
Format: Électronique eBook
Langue:Inglés
Publié: Cham : Springer International Publishing : Imprint: Springer, 2014.
Édition:1st ed. 2014.
Collection:Information Systems and Applications, incl. Internet/Web, and HCI ; 8819
Sujets:
Accès en ligne:Texto Completo
Table des matières:
  • Malware Phylogenetics Based on the Multiview Graphical Lasso
  • Modeling stationary data by a class of generalized Ornstein-Uhlenbeck processes: the Gaussian case
  • An approach to controlling the runtime for search based modularization of sequential source code check-ins Simple Pattern Spectrum Estimation for Fast Pattern Filtering with CoCoNAD
  • From Sensor Readings to Predictions: on the Process of Developing Practical Soft Sensors
  • Comparing Pre-Defined Software Engineering Metrics with Free-Text for the Prediction of Code Ripples
  • ApiNATOMY: Towards Multiscale Views of Human Anatomy
  • Granularity of co-Evolution Patterns in Dynamic Attributed Graphs
  • Multi-user diverse recommendations through greedy vertex-angle maximization
  • ERMiner: Sequential Rule Mining using Equivalence Classes
  • Mining longitudinal epidemiological data to understand a reversible disorder
  • The BioKET Biodiversity Data Warehouse: Data and Knowledge Integration and Extraction
  • Using Time-Sensitive Rooted PageRank to Detect Hierarchical Social Relationships
  • Modeling daily profiles of solar global radiation using statistical and data mining techniques
  • Model-based Time Series Classification
  • Fast simultaneous clustering and feature selection for binary data
  • Identifying Bilingual Segments for Translation Generation
  • Instant Exceptional Model Mining using Weighted Controlled Pattern Sampling
  • Resampling approaches to improve news importance prediction
  • An Incremental Probabilistic Model to Predict Bus Bunching in Real-Time
  • Mining Representative Frequent Patterns in a Hierarchy of Contexts
  • A Deep Interpretation of Classifier Chains
  • A nonparametric mixture model for personalizing web search
  • Widened KRIMP: Better Performance Through Diverse Parallelism
  • Finding the Intrinsic Patterns in a Collection of Time Series
  • A Spatio-Temporal Bayesian Network Approach for Revealing Functional Ecological Networks in Fisheries
  • Extracting Predictive Models from Marked-Up Free-Text Documents at The Royal Botanic Gardens, Kew, London
  • Detecting Localised Anomalous Behaviour in a Computer Network.