000 | 05204nam a22006255i 4500 | ||
---|---|---|---|
001 | 978-3-031-12670-3 | ||
003 | DE-He213 | ||
005 | 20240730200943.0 | ||
007 | cr nn 008mamaa | ||
008 | 220725s2022 sz | s |||| 0|eng d | ||
020 |
_a9783031126703 _9978-3-031-12670-3 |
||
024 | 7 |
_a10.1007/978-3-031-12670-3 _2doi |
|
050 | 4 | _aQA76.9.Q36 | |
072 | 7 |
_aUN _2bicssc |
|
072 | 7 |
_aCOM021000 _2bisacsh |
|
072 | 7 |
_aUN _2thema |
|
082 | 0 | 4 |
_a001.422 _223 |
082 | 0 | 4 |
_a005.7 _223 |
245 | 1 | 0 |
_aBig Data Analytics and Knowledge Discovery _h[electronic resource] : _b24th International Conference, DaWaK 2022, Vienna, Austria, August 22-24, 2022, Proceedings / _cedited by Robert Wrembel, Johann Gamper, Gabriele Kotsis, A Min Tjoa, Ismail Khalil. |
250 | _a1st ed. 2022. | ||
264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2022. |
|
300 |
_aXIII, 272 p. 79 illus., 60 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 |
_aLecture Notes in Computer Science, _x1611-3349 ; _v13428 |
|
505 | 0 | _aAn 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. | |
520 | _aThis volume LNCS 13428 constitutes the papers of the 24 th International Conference on Big Data Analytics and Knowledge Discovery, held in August 2022 in Vienna, Austria. 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. | ||
650 | 0 |
_aQuantitative research. _94633 |
|
650 | 0 |
_aData mining. _93907 |
|
650 | 0 |
_aApplication software. _9165543 |
|
650 | 0 |
_aArtificial intelligence. _93407 |
|
650 | 1 | 4 |
_aData Analysis and Big Data. _9165544 |
650 | 2 | 4 |
_aData Mining and Knowledge Discovery. _9165545 |
650 | 2 | 4 |
_aComputer and Information Systems Applications. _9165546 |
650 | 2 | 4 |
_aArtificial Intelligence. _93407 |
700 | 1 |
_aWrembel, Robert. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9165547 |
|
700 | 1 |
_aGamper, Johann. _eeditor. _0(orcid) _10000-0002-2162-4918 _4edt _4http://id.loc.gov/vocabulary/relators/edt _9165548 |
|
700 | 1 |
_aKotsis, Gabriele. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9165549 |
|
700 | 1 |
_aTjoa, A Min. _eeditor. _0(orcid) _10000-0002-8295-9252 _4edt _4http://id.loc.gov/vocabulary/relators/edt _9165550 |
|
700 | 1 |
_aKhalil, Ismail. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9165551 |
|
710 | 2 |
_aSpringerLink (Online service) _9165552 |
|
773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783031126697 |
776 | 0 | 8 |
_iPrinted edition: _z9783031126710 |
830 | 0 |
_aLecture Notes in Computer Science, _x1611-3349 ; _v13428 _923263 |
|
856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-031-12670-3 |
912 | _aZDB-2-SCS | ||
912 | _aZDB-2-SXCS | ||
912 | _aZDB-2-LNC | ||
942 | _cELN | ||
999 |
_c96322 _d96322 |