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020 |
_a9783030657420 _9978-3-030-65742-0 |
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_a10.1007/978-3-030-65742-0 _2doi |
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_aAdvanced Analytics and Learning on Temporal Data _h[electronic resource] : _b5th ECML PKDD Workshop, AALTD 2020, Ghent, Belgium, September 18, 2020, Revised Selected Papers / _cedited by Vincent Lemaire, Simon Malinowski, Anthony Bagnall, Thomas Guyet, Romain Tavenard, Georgiana Ifrim. |
250 | _a1st ed. 2020. | ||
264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2020. |
|
300 |
_aX, 233 p. 88 illus., 67 illus. in color. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
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490 | 1 |
_aLecture Notes in Artificial Intelligence, _x2945-9141 ; _v12588 |
|
505 | 0 | _aTemporal 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 -- Bio-Informatics, Medical, Energy Consumption, Temporal Data. | |
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 Ghent, Belgium, in September 2020. The 15 full papers presented in this book were carefully reviewed and selected from 29 submissions. The selected papers are devoted to 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, Temporal Data. | ||
650 | 0 | _aArtificial intelligence. | |
650 | 0 | _aData mining. | |
650 | 0 |
_aSocial sciences _xData processing. |
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650 | 0 | _aMachine learning. | |
650 | 0 |
_aEducation _xData processing. |
|
650 | 0 | _aComputer networks . | |
650 | 1 | 4 | _aArtificial Intelligence. |
650 | 2 | 4 | _aData Mining and Knowledge Discovery. |
650 | 2 | 4 | _aComputer Application in Social and Behavioral Sciences. |
650 | 2 | 4 | _aMachine Learning. |
650 | 2 | 4 | _aComputers and Education. |
650 | 2 | 4 | _aComputer Communication Networks. |
700 | 1 |
_aLemaire, Vincent. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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700 | 1 |
_aMalinowski, Simon. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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700 | 1 |
_aBagnall, Anthony. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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700 | 1 |
_aGuyet, Thomas. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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700 | 1 |
_aTavenard, Romain. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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700 | 1 |
_aIfrim, Georgiana. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783030657413 |
776 | 0 | 8 |
_iPrinted edition: _z9783030657437 |
830 | 0 |
_aLecture Notes in Artificial Intelligence, _x2945-9141 ; _v12588 |
|
856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-030-65742-0 |
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