000 | 05149nam a22006735i 4500 | ||
---|---|---|---|
001 | 978-981-99-8696-5 | ||
003 | DE-He213 | ||
005 | 20250516155935.0 | ||
007 | cr nn 008mamaa | ||
008 | 231204s2024 si | s |||| 0|eng d | ||
020 |
_a9789819986965 _9978-981-99-8696-5 |
||
050 | 4 | _aQA76.9.D343 | |
072 | 7 |
_aUNF _2bicssc |
|
072 | 7 |
_aUYQE _2bicssc |
|
072 | 7 |
_aCOM021030 _2bisacsh |
|
072 | 7 |
_aUNF _2thema |
|
072 | 7 |
_aUYQE _2thema |
|
082 | 0 | 4 |
_a006.312 _223 |
245 | 1 | 0 |
_aData Science and Machine Learning _h[electronic resource] : _b21st Australasian Conference, AusDM 2023, Auckland, New Zealand, December 11-13, 2023, Proceedings / _cedited by Diana Benavides-Prado, Sarah Erfani, Philippe Fournier-Viger, Yee Ling Boo, Yun Sing Koh. |
250 | _a1st ed. 2024. | ||
264 | 1 |
_aSingapore : _bSpringer Nature Singapore : _bImprint: Springer, _c2024. |
|
300 |
_aXII, 300 p. 94 illus., 83 illus. in color. _bonline resource. |
||
336 |
_atext _btxt _2rdacontent |
||
337 |
_acomputer _bc _2rdamedia |
||
338 |
_aonline resource _bcr _2rdacarrier |
||
347 |
_atext file _bPDF _2rda |
||
490 | 1 |
_aCommunications in Computer and Information Science, _x1865-0937 ; _v1943 |
|
505 | 0 | _aResearch Track: Random Padding Data Augmentation -- Unsupervised Fraud Detection on Sparse Rating Networks -- Semi-Supervised Model-Based Clustering for Ordinal Data -- Damage GAN: A Generative Model for Imbalanced Data -- Text-Conditioned Graph Generation Using Discrete Graph Variational Autoencoders -- Boosting QA Performance through SA-Net and AA-Net with the Read+Verify Framework -- Anomaly Detection Algorithms: Comparative Analysis and Explainability Perspectives -- Towards Fairness and Privacy: A Novel Data Pre-processing Optimization Framework for Non-binary Protected Attributes -- MStoCast: Multimodal Deep Network for Stock Market Forecast. -- Few Shot and Transfer Learning with Manifold Distributed Datasets -- Mitigating The Adverse Effects of Long-tailed Data on Deep Learning Models -- Shapley Value Based Feature Selection to Improve Generalization of Genetic Programming for High-Dimensional Symbolic Regression -- Hybrid Models for Predicting Cryptocurrency Price Using Financial and Non-Financial Indicators -- Application Track: Multi-Dimensional Data Visualization for Analyzing Materials -- Law in Order: An Open Legal Citation Network for New Zealand -- Enhancing Resource Allocation in IT Projects: The Potentials of Deep Learning-Based Recommendation Systems and Data-Driven Approaches -- A Comparison of One-Class versus Two-Class Machine Learning Models for Wildfire Prediction in California -- Skin Cancer Detection with Multimodal Data: A Feature Selection Approach Using Genetic Programming -- Comparison of Interpolation Techniques for Prolonged Exposure Estimation: A Case Study on Seven years of Daily Nitrogen Oxide in Greater Sydney -- Detecting Asthma Presentations from Emergency Department Notes: An Active Learning Approach. | |
520 | _aThis book constitutes the proceedings of the 21st Australasian Conference on Data Science and Machine Learning, AusDM 2023, held in Auckland, New Zealand, during December 11-13, 2023. The 20 full papers presented in this book were carefully reviewed and selected from 50 submissions. The papers are organized in the following topical sections: research track and application track. They deal with topics around data science and machine learning in everyday life. . | ||
541 |
_fUABC ; _cPerpetuidad |
||
650 | 0 | _aData mining. | |
650 | 0 | _aArtificial intelligence. | |
650 | 0 |
_aImage processing _xDigital techniques. |
|
650 | 0 | _aComputer vision. | |
650 | 0 |
_aEducation _xData processing. |
|
650 | 0 |
_aComputer science _xMathematics. |
|
650 | 1 | 4 | _aData Mining and Knowledge Discovery. |
650 | 2 | 4 | _aArtificial Intelligence. |
650 | 2 | 4 | _aComputer Imaging, Vision, Pattern Recognition and Graphics. |
650 | 2 | 4 | _aComputers and Education. |
650 | 2 | 4 | _aMathematics of Computing. |
700 | 1 |
_aBenavides-Prado, Diana. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
700 | 1 |
_aErfani, Sarah. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
700 | 1 |
_aFournier-Viger, Philippe. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
700 | 1 |
_aBoo, Yee Ling. _eeditor. _0(orcid)0000-0001-7188-9597 _1https://orcid.org/0000-0001-7188-9597 _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
700 | 1 |
_aKoh, Yun Sing. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9789819986958 |
776 | 0 | 8 |
_iPrinted edition: _z9789819986972 |
830 | 0 |
_aCommunications in Computer and Information Science, _x1865-0937 ; _v1943 |
|
856 | 4 | 0 |
_zLibro electrónico _uhttp://libcon.rec.uabc.mx:2048/login?url=https://doi.org/10.1007/978-981-99-8696-5 |
912 | _aZDB-2-SCS | ||
912 | _aZDB-2-SXCS | ||
942 | _cLIBRO_ELEC | ||
999 |
_c273737 _d273736 |