| 000 | 06322cam a2200769 i 4500 | ||
|---|---|---|---|
| 001 | on1268983409 | ||
| 003 | OCoLC | ||
| 005 | 20250707094101.0 | ||
| 006 | m o d | ||
| 007 | cr |n||||||||| | ||
| 008 | 210923s2021 sz a o 101 0 eng d | ||
| 040 |
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| 020 |
_a9783030855291 _q(electronic bk.) |
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| 020 |
_a3030855295 _q(electronic bk.) |
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| 020 | _z9783030855284 | ||
| 020 | _z3030855287 | ||
| 024 | 7 |
_a10.1007/978-3-030-85529-1 _2doi |
|
| 029 | 1 |
_aAU@ _b000069954815 |
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| 029 | 1 |
_aAU@ _b000070137060 |
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| 035 | _a(OCoLC)1268983409 | ||
| 050 | 4 |
_aQ334.M43 _bM43 2021 |
|
| 072 | 7 |
_aUYQ _2bicssc |
|
| 072 | 7 |
_aCOM004000 _2bisacsh |
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| 072 | 7 |
_aUYQ _2thema |
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| 082 | 0 | 4 |
_a006.3 _223 |
| 049 | _aMAIN | ||
| 111 | 2 |
_aMDAI (Conference) _n(18th : _d2021 : _cOnline) |
|
| 245 | 1 | 0 |
_aModeling decisions for artificial intelligence : _b18th international conference, MDAI 2021, Umeå, Sweden, September 27-30, 2021 : proceedings / _cVicenç Torra, Yasuo Narukawa (eds.). |
| 246 | 3 | 0 | _aMDAI 2021 |
| 264 | 1 |
_aCham : _bSpringer, _c[2021] |
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| 264 | 4 | _c©2021 | |
| 300 |
_a1 online resource : _billustrations (some color) |
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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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| 490 | 1 |
_aLecture notes in computer science. Lecture notes in artificial intelligence ; _v12898 |
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| 490 | 1 | _aLNCS sublibrary: SL7 - Artificial intelligence | |
| 500 | _aInternational conference proceedings. | ||
| 500 | _aIncludes author index. | ||
| 520 | _aThis book constitutes the refereed proceedings of the 18th International Conference on Modeling Decisions for Artificial Intelligence, MDAI 2021, held in Umeå, Sweden, in September 2021.* The 24 papers presented in this volume were carefully reviewed and selected from 50 submissions. Additionally, 3 invited papers were included. The papers discuss different facets of decision processes in a broad sense and present research in data science, data privacy, aggregation functions, human decision making, graphs and social networks, and recommendation and search. The papers are organized in the following topical sections: aggregation operators and decision making; approximate reasoning; machine learning; data science and data privacy. *The conference was held virtually due to the COVID-19 pandemic. | ||
| 505 | 0 | _aInvited Papers -- Andness-Directed Iterative OWA Aggregators -- New Eliahou semigroups and verification of the Wilf conjecture for genus up to 65 -- Are Sequential Patterns Shareable? Ensuring Individuals' Privacy -- Aggregation Operators and Decision Making -- On Two Generalizations for k-additivity -- Sequential decision-making using hybrid probability-possibility functions -- Numerical comparison of idempotent andness-directed aggregators -- Approximate Reasoning -- Multiple testing of conditional independence hypotheses using information-theoretic approach -- A Bayesian Interpretation of the Monty Hall Problem with Epistemic Uncertainty -- How the F-transform can be defined for hesitant, soft or intuitionistic fuzzy sets? Enhancing social recommenders with implicit preferences and fuzzy confidence functions -- A Necessity Measure of Fuzzy Inclusion Relation in Linear Programming Problems -- Machine Learning -- Mass-based Similarity Weighted k-Neighbor for Class Imbalance -- Multinomial-based Decision Synthesis of ML Classification Outputs -- Quantile Encoder: Tackling High Cardinality Categorical Features in Regression Problems -- Evidential undersampling approach for imbalanced datasets with class-overlapping and noise -- Well-Calibrated and Sharp Interpretable Multi-Class Models -- Automated Attribute Weighting Fuzzy k-Centers Algorithm for Categorical Data Clustering -- q-Divergence Regularization of Bezdek-Type Fuzzy Clustering for Categorical Multivariate Data -- Automatic Clustering of CT Scans of COVID-19 Patients Based on Deep Learning -- Network Clustering with Controlled Node Size -- Data Science and Data Privacy -- Fair-ly Private Through Group Tagging and Relation Impact -- MEDICI: A simple to use synthetic social network data generator -- Answer Passage Ranking Enhancement Using Shallow Linguistic Features -- Neural embedded Dirichlet Processes for topic modeling -- Density-Based Evaluation Metrics in Unsupervised Anomaly Detection Contexts -- Explaining Image Misclassification in Deep Learning via Adversarial Examples.-Towards Machine Learning-Assisted Output Checking for Statistical Disclosure Control -- | |
| 588 | 0 | _aOnline resource; title from PDF title page (SpringerLink, viewed September 24, 2021). | |
| 650 | 0 |
_aArtificial intelligence _xMathematical models _vCongresses. _919314 |
|
| 650 | 0 |
_aDecision making _xMathematical models _vCongresses. _922338 |
|
| 650 | 0 |
_aComputer simulation _vCongresses. |
|
| 650 | 6 |
_aIntelligence artificielle _xModèles mathématiques _vCongrès. _920037 |
|
| 650 | 6 |
_aPrise de décision _xModèles mathématiques _vCongrès. _920038 |
|
| 650 | 6 |
_aSimulation par ordinateur _vCongrès. _918853 |
|
| 650 | 7 |
_aArtificial intelligence _xMathematical models _2fast _919318 |
|
| 650 | 7 |
_aComputer simulation _2fast _92625 |
|
| 650 | 7 |
_aDecision making _xMathematical models _2fast _922340 |
|
| 655 | 2 |
_aCongress _911670 |
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| 655 | 7 |
_aproceedings (reports) _2aat |
|
| 655 | 7 |
_aConference papers and proceedings _2fast _96065 |
|
| 655 | 7 |
_aConference papers and proceedings. _2lcgft _96065 |
|
| 655 | 7 |
_aActes de congrès. _2rvmgf _9609890 |
|
| 700 | 1 |
_aTorra, Vicenç, _eeditor. _920045 |
|
| 700 | 1 |
_aNarukawa, Yasuo, _eeditor. _920046 |
|
| 776 | 0 | 8 |
_iPrint version: _aMDAI (Conference) (18th : 2021 : Online). _tModeling decisions for artificial intelligence. _dCham : Springer, [2021] _z3030855287 _z9783030855284 _w(OCoLC)1261362409 |
| 830 | 0 |
_aLecture notes in computer science ; _v12898. |
|
| 830 | 0 |
_aLecture notes in computer science. _pLecture notes in artificial intelligence. _914916 |
|
| 830 | 0 |
_aLNCS sublibrary. _nSL 7, _pArtificial intelligence. _920712 |
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| 856 | 4 | 0 | _uhttps://link.springer.com/10.1007/978-3-030-85529-1 |
| 938 |
_aProQuest Ebook Central _bEBLB _nEBL6730136 |
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