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

Aus der Reihe Lecture Notes in Computer Science

49,99 €

inkl. gesetzl. MwSt., Versandkostenfrei

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

13.10.2014

Abbildungen

XX, 394 p. 125 illus.

Herausgeber

Hendrik Blockeel + weitere

Verlag

Springer

Seitenzahl

394

Maße (L/B/H)

23,5/15,5/2,3 cm

Gewicht

628 g

Sprache

Englisch

ISBN

978-3-319-12570-1

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

13.10.2014

Abbildungen

XX, 394 p. 125 illus.

Herausgeber

Verlag

Springer

Seitenzahl

394

Maße (L/B/H)

23,5/15,5/2,3 cm

Gewicht

628 g

Sprache

Englisch

ISBN

978-3-319-12570-1

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

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  • Produktbild: Advances in Intelligent Data Analysis XIII
  • Produktbild: Advances in Intelligent Data Analysis XIII

  • 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.