Wrembel / Gamper / Kotsis Big Data Analytics and Knowledge Discovery
1. Auflage 2022
ISBN: 978-3-031-12670-3
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark
24th International Conference, DaWaK 2022, Vienna, Austria, August 22–24, 2022, Proceedings
E-Book, Englisch, 272 Seiten
Reihe: Lecture Notes in Computer Science
ISBN: 978-3-031-12670-3
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark
The 12 full papers presented together with 12 short papers in this volume were carefully reviewed and selected from a total of 57 submissions.
The papers reflect a wide range of topics in the field of data integration, data warehousing, data analytics, and recently big data analytics, in a broad sense. The main objectives of this event are to explore, disseminate, and exchange knowledge in these fields.
Zielgruppe
Research
Autoren/Hrsg.
Weitere Infos & Material
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.
