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  • Produktbild: Advances in Intelligent Data Analysis XVII
  • Produktbild: Advances in Intelligent Data Analysis XVII
Band 11191

Advances in Intelligent Data Analysis XVII 17th International Symposium, IDA 2018, ’s-Hertogenbosch, The Netherlands, October 24–26, 2018, Proceedings

Aus der Reihe Lecture Notes in Computer Science

49,99 €

inkl. gesetzl. MwSt., Versandkostenfrei

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

05.10.2018

Abbildungen

XIII, 394 p. 133 illus.

Herausgeber

Wouter Duivesteijn + weitere

Verlag

Springer

Seitenzahl

394

Maße (L/B/H)

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

Gewicht

616 g

Auflage

18001 Auflage 1st edition 2018

Sprache

Englisch

ISBN

978-3-030-01767-5

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

05.10.2018

Abbildungen

XIII, 394 p. 133 illus.

Herausgeber

Verlag

Springer

Seitenzahl

394

Maße (L/B/H)

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

Gewicht

616 g

Auflage

18001 Auflage 1st edition 2018

Sprache

Englisch

ISBN

978-3-030-01767-5

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: GPSR Kontakt

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  • Produktbild: Advances in Intelligent Data Analysis XVII
  • Produktbild: Advances in Intelligent Data Analysis XVII
  • Elements of an Automatic Data Scientist.- The Need for Interpretability Biases Open Data Science.- Automatic POI Matching Using an Outlier Detection Based Approach.- Fact Checking from Natural Text with Probabilistic Soft Logic.- ConvoMap: Using Convolution to Order Boolean Data.- Training Neural Networks to distinguish craving smokers, non-craving smokers, and non-smokers.- Missing Data Imputation via Denoising Autoencoders: the untold story.- Online Non-Linear Gradient Boosting in Multi-Latent Spaces.- MDP-based Itinerary Recommendation using Geo-Tagged Social Media.- Multiview Learning of Weighted Majority Vote by Bregman Divergence Minimization.- Non-Negative Local Sparse Coding for Subspace Clustering.- Pushing the Envelope in Overlapping Communities Detection.-Right for the Right Reason: Training Agnostic Networks.- Link Prediction in Multi-Layer Networks and its Application to Drug Design.- A hierarchical Ornstein-Uhlenbeck model for stochastic time series analysis.- Analysing the footprint of classi_ers in overlapped and imbalanced contexts.- Tree-based Cost Sensitive Methods for Fraud Detection in Imbalanced Data.- Reduction Stumps for Multi-Class Classification.- Decomposition of quantitative Gaifman graphs as a data analysis tool.- Exploring the Effects of Data Distribution in Missing Data Imputation.- Communication-free Widened Learning of Bayesian Network Classifiers Using Hashed Fiedler Vectors.- Expert finding in Citizen Science platform for biodiversity monitoring via weighted PageRank algorithm.- Random forests with latent variables to foster feature selection in the context of highly correlated variables. Illustration with a bioinformatics application.-Don't Rule Out Simple Models Prematurely: a Large Scale Benchmark Comparing Linear and Non-linear Classifiers in OpenML.- Detecting Shifts in Public Opinion: a big data study of global news content.- Biased Embeddings from Wild Data: Measuring, Understanding and Removing.- Real-Time Excavation Detection at Construction Sites using Deep Learning.- COBRAS: Interactive Clustering with Pairwise Queries.- Automatically Wrangling Spreadsheets into Machine Learning Data Formats.- Learned Feature Generation for Molecules.