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000924976 019__ $$a1140380377
000924976 020__ $$a9783030390983$$q(electronic book)
000924976 020__ $$a3030390985$$q(electronic book)
000924976 020__ $$z9783030390976
000924976 0248_ $$a10.1007/978-3-030-39
000924976 0247_ $$a10.1007/978-3-030-39098-3
000924976 035__ $$aSP(OCoLC)on1137852340
000924976 035__ $$aSP(OCoLC)1137852340$$z(OCoLC)1140380377
000924976 040__ $$aLQU$$beng$$cLQU$$dGW5XE$$dLEATE
000924976 049__ $$aISEA
000924976 050_4 $$aQA280
000924976 08204 $$a006.3
000924976 1112_ $$aAALTD (Workshop)$$n(4th :$$d2019 :$$cWürzburg, Germany)
000924976 24510 $$aAdvanced analytics and learning on temporal data :$$b4th ECML PKDD Workshop, AALTD 2019, Würzburg, Germany, September 20, 2019, Revised selected papers /$$cVincent Lemaire, Simon Malinowski, Anthony Bagnall, Alexis Bondu, Thomas Guyet, Romain Tavenard (eds.).
000924976 2463_ $$aAALTD 2019
000924976 264_1 $$aCham :$$bSpringer,$$c2020.
000924976 300__ $$a1 online resource (x, 229 pages) :$$billustrations.
000924976 336__ $$atext$$btxt$$2rdacontent
000924976 337__ $$acomputer$$bc$$2rdamedia
000924976 338__ $$aonline resource$$bcr$$2rdacarrier
000924976 4901_ $$aLecture notes in artificial intelligence
000924976 4901_ $$aLecture notes in computer science ;$$v11986
000924976 4901_ $$aLNCS sublibrary. SL 7, Artificial intelligence
000924976 500__ $$aIncludes author index.
000924976 5050_ $$aRobust Functional Regression for Outlier Detection -- Transform Learning Based Function Approximation for Regression and Forecasting -- Proactive Fiber Break Detection based on Quaternion Time Series and Automatic Variable Selection from Relational Data -- A fully automated periodicity detection in time series -- Conditional Forecasting of Water Level Time Series with RNNs -- Challenges and Limitations in Clustering Blood Donor Hemoglobin Trajectories -- Localized Random Shapelets -- Feature-Based Gait Pattern Classification for a Robotic Walking Frame -- How to detect novelty in textual data streams? A comparative study of existing methods -- Seq2VAR: multivariate time series representation with relational neural networks and linear autoregressive model -- Modelling Patient Sequences for Rare Disease Detection with Semi-supervised Generative Adversarial Nets -- Extended Kalman Filter for Large Scale Vessels Trajectory Tracking in Distributed Stream Processing Systems -- Unsupervised Anomaly Detection in Multivariate Spatio-Temporal Datasets using Deep Learning -- Learning Stochastic Dynamical Systems via Bridge Sampling -- Quantifying Quality of Actions Using Wearable Sensor -- An Initial Study on Adapting DTW at Individual Query for Electrocardiogram Analysis.
000924976 506__ $$aAccess limited to authorized users.
000924976 520__ $$aThis book constitutes the refereed proceedings of the 4th ECML PKDD Workshop on Advanced Analytics and Learning on Temporal Data, AALTD 2019, held in Würzburg, Germany, in September 2019. The 7 full papers presented together with 9 poster papers were carefully reviewed and selected from 31 submissions. The papers cover topics such as temporal data clustering; classification of univariate and multivariate time series; early classification of temporal data; deep learning and learning representations for temporal data; modeling temporal dependencies; advanced forecasting and prediction models; space-temporal statistical analysis; functional data analysis methods; temporal data streams; interpretable time-series analysis methods; dimensionality reduction, sparsity, algorithmic complexity and big data challenge; and bio-informatics, medical, energy consumption, on temporal data.
000924976 650_0 $$aTime-series analysis$$xData processing$$vCongresses.
000924976 650_0 $$aMachine learning$$vCongresses.
000924976 650_0 $$aTemporal databases$$vCongresses.
000924976 7001_ $$aLemaire, Vincent.
000924976 7001_ $$aMalinowski, Simon.
000924976 7001_ $$aBagnall, Anthony.
000924976 7001_ $$aBondu, Alexis.
000924976 7001_ $$aGuyet, Thomas.
000924976 7001_ $$aTavenard, Romain.
000924976 830_0 $$aLecture notes in computer science.$$pLecture notes in artificial intelligence.
000924976 830_0 $$aLecture notes in computer science ;$$v11986.
000924976 830_0 $$aLNCS sublibrary.$$nSL 7,$$pArtificial intelligence.
000924976 852__ $$bebk
000924976 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-030-39098-3$$zOnline Access$$91397441.1
000924976 909CO $$ooai:library.usi.edu:924976$$pGLOBAL_SET
000924976 980__ $$aEBOOK
000924976 980__ $$aBIB
000924976 982__ $$aEbook
000924976 983__ $$aOnline
000924976 994__ $$a92$$bISE