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Big Data Analytics and Knowledge Discovery: 24th International Conference, DaWaK 2022, Vienna, Austria, August 22–24, 2022, Proceedings [electronic resource]
서명 / 저자 Big Data Analytics and Knowledge Discovery [electronic resource] : 24th International Conference, DaWaK 2022, Vienna, Austria, August 22–24, 2022, Proceedings / edited by Robert Wrembel, Johann Gamper, Gabriele Kotsis, A Min Tjoa, Ismail Khalil.
저자명 Wrembel, Robert. editor. (orcid)0000-0001-6037-5718 https://orcid.org/0000-0001-6037-5718 edt http://id.loc.gov/vocabulary/relators/edt ; Gamper, Johann. editor. (orcid)0000-0002-7128-507X https://orcid.org/0000-0002-7128-507X edt http://id.loc.gov/vocabulary/relators/edt ; Kotsis, Gabriele. editor. edt http://id.loc.gov/vocabulary/relators/edt ; Tjoa, A Min. editor. edt http://id.loc.gov/vocabulary/relators/edt ; Khalil, Ismail. editor. edt http://id.loc.gov/vocabulary/relators/edt
단체명 SpringerLink (Online service)
발행사항 Cham : Springer International Publishing : Imprint: Springer, 2022.
Online Access https://doi.org/10.1007/978-3-031-12670-3 URL

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청구기호 QA76.9.Q36
판사항 1st ed. 2022.
형태사항 XIII, 272 p. 79 illus., 60 illus. in color. online resource.
총서명 Lecture Notes in Computer Science, 1611-3349 ; 13428
언어 English
내용 An Integration of TextGCN and Autoencoder into Aspect-based Sentiment Analysis -- OpBerg: Discovering causal sentences using optimal alignments -- Text-based Causal Inference on Irony and Sarcasm Detection -- Sarcastic RoBERTa: a RoBERTa-based deep neural network detecting sarcasm on Twitter -- A Fast NDFA-Based Approach to Approximate Pattern-Matching for Plagiarism Detection in Blockchain-Driven NFTs -- On Decisive Skyline Queries -- Safeness: Suffix Arrays driven Materialized View Selection Framework for Large-Scale Workloads -- A Process Warehouse for Process Variants Analysis -- Feature Selection Algorithms -- Unsupervised Features Ranking via Coalitional Game Theory for Categorical Data -- Multi-label Online Streaming Feature Selection Algorithms via Extending Alpha Investing Strategy -- Feature Selection Under Fairness and Performance Constraints -- Time Series Processing -- Interpretable Input-Output Hidden Markov Model-Based Deep Reinforcement Learning for the Predictive Maintenance of Turbofan Engines -- Pathology Data Prioritisation: A Study Using Multi-Variate Time Series -- Outlier/Anomaly detection of univariate time series: A dataset collection and benchmark -- Automatic Machine Learning-based OLAP Measure Detection for Tabular Data -- Discovering Overlapping Communities based on Cohesive Subgraph Models over Graph Data -- Discovery of Keys for Graphs -- OPTIMA: Framework Selecting Optimal Virtual Model to Query Large Heterogeneous Data -- . Q-VIPER: Quantitative Vertical Bitwise Algorithm to Mine Frequent Patterns -- Enhanced Sliding Window-Based Periodic Pattern Mining from Dynamic Streams -- Explainable Recommendations for Wearable Sensor Data Machine Learning -- SLA-Aware Cloud Query Processing with Reinforcement Learning-based MultiObjective Re-Optimization -- Distance Based K-Means Clustering -- Grapevine Phenology Prediction: A Comparison of Physical and Machine Learning Models.
주제 Quantitative research.
Data mining.
Application software.
Artificial intelligence.
Data Analysis and Big Data.
Data Mining and Knowledge Discovery.
Computer and Information Systems Applications.
Artificial Intelligence.
보유판 및 특별호 저록 Springer Nature eBook
Printed edition: 9783031126697 Printed edition: 9783031126710
ISBN 9783031126703
기타 표준번호 10.1007/978-3-031-12670-3
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