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Advances in intelligent data analysis XVII : 17th International Symposium, IDA 2018, 's-Hertogenbosch, the Netherlands, October 24-26, 2018, Proceedings

Author: Wouter Duivesteijn; Arno Siebes; Antti Ukkonen
Publisher: Cham, Switzerland : Springer, 2018.
Series: Lecture notes in computer science, 11191.; LNCS sublibrary., SL 3,, Information systems and applications, incl. Internet/Web, and HCI.
Edition/Format:   eBook : Document : Conference publication : EnglishView all editions and formats
Summary:
This book constitutes the conference proceedings of the 17th International Symposium on Intelligent Data Analysis, which was held in October 2018 in ‘s-Hertogenbosch, the Netherlands. The traditional focus of the IDA symposium series is on end-to-end intelligent support for data analysis. The 29 full papers presented in this book were carefully reviewed and selected from 65 submissions. The papers cover all aspects  Read more...
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Genre/Form: Electronic books
Conference papers and proceedings
Congresses
Additional Physical Format: Print version:
International Symposium on Intelligent Data Analysis (17th : 2018 : 's-Hertogenbosch, Netherlands).
Advances in intelligent data analysis XVII.
Cham, Switzerland : Springer, 2018
(OCoLC)1051688152
Material Type: Conference publication, Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Wouter Duivesteijn; Arno Siebes; Antti Ukkonen
ISBN: 9783030017682 3030017680 9783030017699 3030017699
OCLC Number: 1057343100
Notes: International conference proceedings.
Includes author index.
Description: 1 online resource (xiii, 394 pages) : illustrations.
Contents: 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.
Series Title: Lecture notes in computer science, 11191.; LNCS sublibrary., SL 3,, Information systems and applications, incl. Internet/Web, and HCI.
Other Titles: IDA 2018
Responsibility: Wouter Duivesteijn, Arno Siebes, Antti Ukkonen (eds.).

Abstract:

This book constitutes the conference proceedings of the 17th International Symposium on Intelligent Data Analysis, which was held in October 2018 in `s-Hertogenbosch, the Netherlands.  Read more...

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