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000761589 019__ $$a961007400
000761589 020__ $$a9783319463490$$q(electronic book)
000761589 020__ $$a3319463497$$q(electronic book)
000761589 020__ $$z9783319463483
000761589 0247_ $$a10.1007/978-3-319-46349-0$$2doi
000761589 035__ $$aSP(OCoLC)ocn959922759
000761589 035__ $$aSP(OCoLC)959922759$$z(OCoLC)961007400
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000761589 08204 $$a006.4$$223
000761589 1112_ $$aInternational Symposium on Intelligent Data Analysis$$n(15th :$$d2016 :$$cStockholm, Sweden)
000761589 24510 $$aAdvances in intelligent data analysis XV :$$b15th International Symposium, IDA 2016, Stockholm, Sweden, October 13-15, 2016, Proceedings /$$cHenrik Boström, Arno Knobbe, Carlos Soares, Panagiotis Papapetrou (eds.).
000761589 2463_ $$aAdvances in intelligent data analysis 15
000761589 2463_ $$aIDA 2016
000761589 264_1 $$aCham, Switzerland :$$bSpringer,$$c2016.
000761589 300__ $$a1 online resource (xiii, 404 pages) :$$billustrations.
000761589 336__ $$atext$$btxt$$2rdacontent
000761589 337__ $$acomputer$$bc$$2rdamedia
000761589 338__ $$aonline resource$$bcr$$2rdacarrier
000761589 4901_ $$aLecture notes in computer science,$$x0302-9743 ;$$v9897
000761589 4901_ $$aLNCS sublibrary. SL 3, Information systems and applications, incl. Internet/Web, and HCI
000761589 500__ $$aInternational conference proceedings.
000761589 500__ $$aIncludes author index.
000761589 5050_ $$aDSCo-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. .
000761589 506__ $$aAccess limited to authorized users.
000761589 520__ $$aThis book constitutes the refereed conference proceedings of the 15th International Conference on Intelligent Data Analysis, which was held in October 2016 in Stockholm, Sweden. The 36 revised full papers presented were carefully reviewed and selected from 75 submissions. The traditional focus of the IDA symposium series is on end-to-end intelligent support for data analysis. The symposium aims to provide a forum for inspiring research contributions that might be considered preliminary in other leading conferences and journals, but that have a potentially dramatic impact. .
000761589 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed October 5, 2016).
000761589 650_0 $$aPattern recognition systems$$vCongresses.
000761589 650_0 $$aMathematical statistics$$vCongresses.
000761589 650_0 $$aMathematical statistics$$xData processing$$vCongresses.
000761589 7001_ $$aBoström, Henrik,$$eeditor.
000761589 7001_ $$aKnobbe, Arno J.,$$eeditor.
000761589 7001_ $$aSoares, Carlos A. Mota,$$d1945-$$eeditor.
000761589 7001_ $$aPapapetrou, Panagiotis,$$eeditor.
000761589 830_0 $$aLecture notes in computer science ;$$v9897.
000761589 830_0 $$aLNCS sublibrary.$$nSL 3,$$pInformation systems and applications, incl. Internet/Web, and HCI.
000761589 852__ $$bebk
000761589 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-46349-0$$zOnline Access$$91397441.1
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