Advances in intelligent data analysis XVII : 17th International Symposium, IDA 2018, 's-Hertogenbosch, The Netherlands, October 24-26, 2018, Proceedings /: 17th International Symposium, IDA 2018, 's-Hertogenbosch, The Netherlands, October 24-26, 2018, Proceedings. (2018)

• Record Type: Book
• Other Titles: IDA 2018
• Further Information: Note: Wouter Duivesteijn, Arno Siebes, Antti Ukkonen (eds.).
• Editors: Duivesteijn, Wouter; Siebes, Arno, 1958-; Ukkonen, Antti
• Other Names: International Symposium on Intelligent Data Analysis, 17th
• 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.
• Publisher Details: Cham, Switzerland : Springer
• Publication Date: 2018
• Extent: 1 online resource (xiii, 394 pages), illustrations
• Subjects: 006.4; Computer science; Pattern recognition systems -- Congresses; Mathematical statistics -- Congresses; Mathematical statistics -- Data processing -- Congresses; Computers -- Computer Science; Computers -- Online Services -- General; Computers -- Data Processing; Program concepts / learning to program; Computer networking & communications; Information technology: general issues; Database management; Electronic data processing; Information systems; Computers -- Database Management -- General; Databases; Electronic books
• Languages: English
• ISBNs: 9783030017682; 3030017680
• Related ISBNs: 9783030017675
• Notes: Note: Online resource; title from PDF title page (SpringerLink, viewed October 18, 2018).
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.