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  • Produktbild: Advances in Intelligent Data Analysis XV
  • Produktbild: Advances in Intelligent Data Analysis XV
Band 9897

Advances in Intelligent Data Analysis XV 15th International Symposium, IDA 2016, Stockholm, Sweden, October 13-15, 2016, Proceedings

Aus der Reihe Information Systems and Applications, incl. Internet/Web, and HCI

Fr. 72.90

inkl. gesetzl. MwSt., Versandkostenfrei

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

21.09.2016

Abbildungen

XIII, 404 p. 146 illus.

Herausgeber

Henrik Boström + weitere

Verlag

Springer

Seitenzahl

404

Maße (L/B/H)

23.5/15.5/2.3 cm

Gewicht

633 g

Auflage

1st ed. 2016

Sprache

Englisch

ISBN

978-3-319-46348-3

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

21.09.2016

Abbildungen

XIII, 404 p. 146 illus.

Herausgeber

Verlag

Springer

Seitenzahl

404

Maße (L/B/H)

23.5/15.5/2.3 cm

Gewicht

633 g

Auflage

1st ed. 2016

Sprache

Englisch

ISBN

978-3-319-46348-3

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

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  • Produktbild: Advances in Intelligent Data Analysis XV
  • Produktbild: Advances in Intelligent Data Analysis XV
  • DSCo-NG: A Practical Language Modeling Approach for Time Series Classification.- Ranking Accuracy for Logistic-GEE models.- The Morality Machine: Tracking Moral Values in Tweets.- A Hybrid Approach for Probabilistic Relational Models Structure Learning.- On the Impact of Data Set Size in Transfer Learning Using Deep Neural Networks.- Obtaining Shape Descriptors from a Concave Hull-Based Clustering Algorithm.- Visual Perception of Discriminative Landmarks in Classified Time Series.- Spotting the Diffusion of New Psychoactive Substances over the Internet.- Feature Selection Issues in Long-Term Travel Time Prediction.- A Mean-Field Variational Bayesian Approach to Detecting Overlapping Communities with Inner Roles Using Poisson Link Generation.- Online Semi-supervised Learning for Multi-target Regression in Data streams Using AMRules.- A Toolkit for Analysis of Deep Learning Experiments.- The Optimistic Method for Model Estimation.- Does Feature Selection Improve Classification? A Large Scale Experiment in OpenML.- Learning from the News: Predicting Entity Popularity on Twitter.- Multi-scale Kernel PCA and Its Application to Curvelet-based Feature Extraction for Mammographic Mass Characterization.- Weakly-supervised Symptom Recognition for Rare Diseases in Biomedical Text.- Estimating Sequence Similarity from Read Sets for Clustering Sequencing Data.- Widened Learning of Bayesian Network Classifiers.- Vote Buying Detection via Independent Component Analysis.- Unsupervised Relation Extraction in Specialized Corpora Using Sequence Mining.- A Framework for Interpolating Scattered Data Using Space-filling Curves.- Privacy-Awareness of Distributed Data Clustering Algorithms Revisited.- Bi-stochastic Matrix Approximation Framework for Data Co-clustering.- Sequential Cost-Sensitive Feature Acquisition.- Explainable and Efficient Link Prediction in Real-World Network Data.- DGRMiner: Anomaly Detection and Explanation in Dynamic Graphs.- Similarity Based Hierarchical Clustering with an Application to Text Collections.- Determining Data Relevance Using Semantic Types and Graphical Interpretation Cues.- A First Step Toward Quantifying the Climate's Information Production over the Last 68,000 Years.- HAUCA Curves for the Evaluation of Biomarker Pilot Studies with Small Sample Sizes and Large Numbers of Features.- Stability Evaluation of Event Detection Techniques for Twitter.- IDA 2016 Industrial Challenge: Using Machine Learning for Predicting Failures.- An Optimized k-NN Approach for Classification on Imbalanced Datasets with Missing Data.- Combining Boosted Trees with Metafeature Engineering for Predictive Maintenance.- Prediction of Failures in the Air Pressure System of Scania Trucks Using a Random Forest and Feature Engineering.