LEADER 05498nam 22006615 450 001 9910349402403321 005 20200630235422.0 010 $a3-030-01768-0 024 7 $a10.1007/978-3-030-01768-2 035 $a(CKB)4100000006999221 035 $a(DE-He213)978-3-030-01768-2 035 $a(MiAaPQ)EBC6283786 035 $a(PPN)231460872 035 $a(EXLCZ)994100000006999221 100 $a20181004d2018 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAdvances in Intelligent Data Analysis XVII $e17th International Symposium, IDA 2018, ?s-Hertogenbosch, The Netherlands, October 24?26, 2018, Proceedings /$fedited by Wouter Duivesteijn, Arno Siebes, Antti Ukkonen 205 $a1st ed. 2018. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2018. 215 $a1 online resource (XIII, 394 p. 133 illus.) 225 1 $aInformation Systems and Applications, incl. Internet/Web, and HCI ;$v11191 311 $a3-030-01767-2 320 $aIncludes bibliographical references and index. 327 $aElements 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. 330 $aThis book constitutes the conference proceedings of the 17th International Symposium on Intelligent Data Analysis, which was held in October 2018 in ?s-Hertogenbosch, the Netherlands. The traditional focus of the IDA symposium series is on end-to-end intelligent support for data analysis. The 29 full papers presented in this book were carefully reviewed and selected from 65 submissions. The papers cover all aspects of intelligent data analysis, including papers on intelligent support for modeling and analyzing data from complex, dynamical systems. 410 0$aInformation Systems and Applications, incl. Internet/Web, and HCI ;$v11191 606 $aDatabase management 606 $aArtificial intelligence 606 $aComputers 606 $aApplication software 606 $aDatabase Management$3https://scigraph.springernature.com/ontologies/product-market-codes/I18024 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aInformation Systems and Communication Service$3https://scigraph.springernature.com/ontologies/product-market-codes/I18008 606 $aComputer Applications$3https://scigraph.springernature.com/ontologies/product-market-codes/I23001 615 0$aDatabase management. 615 0$aArtificial intelligence. 615 0$aComputers. 615 0$aApplication software. 615 14$aDatabase Management. 615 24$aArtificial Intelligence. 615 24$aInformation Systems and Communication Service. 615 24$aComputer Applications. 676 $a006.4 676 $a006.4 702 $aDuivesteijn$b Wouter$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aSiebes$b Arno$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aUkkonen$b Antti$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910349402403321 996 $aAdvances in Intelligent Data Analysis XVII$91921286 997 $aUNINA