LEADER 01501nam 2200313Ia 450 001 996385031603316 005 20200824132848.0 035 $a(CKB)4940000000074488 035 $a(EEBO)2240941436 035 $a(OCoLC)ocm11996178e 035 $a(OCoLC)11996178 035 $a(EXLCZ)994940000000074488 100 $a19850503d1642 uy | 101 0 $aeng 135 $aurbn||||a|bb| 200 03$aAn Exact and true relation of the dangerous and bloody fight betweene His Majesties army and the Parliaments forces neere Kyneton in the county of Warwick, the 23 of this instant October$b[electronic resource] $esent in a letter to John Pym, esq., a member of the House of Commons : which letter was signed by Denzell Hollis, Ph. Stapleton, Tho. Ballard, William Balfore, Jo. Meldrum, Charles Pym, who were then present 210 $aLondon $cPrinted for Edward Blackmore and are to be sold at his shop ...$dOctober 28, 1642 215 $a8 p 300 $aReproduction of original in the Huntington Library. 330 $aeebo-0113 607 $aGreat Britain$xHistory$yCivil War, 1642-1649 701 $aHolles$b Denzil Holles$cBaron,$f1599-1680.$01001819 801 0$bEAE 801 1$bEAE 801 2$bWaOLN 906 $aBOOK 912 $a996385031603316 996 $aAn Exact and true relation of the dangerous and bloody fight betweene His Majesties army and the Parliaments forces neere Kyneton in the county of Warwick, the 23 of this instant October$92356320 997 $aUNISA LEADER 01196nam 2200253la 450 001 9910481190503321 005 20210618142957.0 035 $a(UK-CbPIL)2090354141 035 $a(CKB)5500000000084439 035 $a(EXLCZ)995500000000084439 100 $a20210618d1613 uy | 101 0 $alat 135 $aurcn||||a|bb| 200 10$aEruditissimae atq. vtilissimae in octo libros Physicorum Aristotelis, sapientissimi magistri patris Dominici Soto, Segouiensis ... quaestiones. Nunc recenter à multis mendis castigatae ac illustratae: operâ R.P.F. Iacobi de Brouwer .$b[electronic resource] 210 $aDouai $c[s.n.]$d1613 215 $aOnline resource ([4], 447, [1] p., 4°) 300 $aReproduction of original in Biblioteca Nazionale Centrale di Firenze. 700 $aSoto$b Domingo de$f1494-1560.$0237935 801 0$bUk-CbPIL 801 1$bUk-CbPIL 906 $aBOOK 912 $a9910481190503321 996 $aEruditissimae atq. vtilissimae in octo libros Physicorum Aristotelis, sapientissimi magistri patris Dominici Soto, Segouiensis ... quaestiones. Nunc recenter à multis mendis castigatae ac illustratae: operâ R.P.F. Iacobi de Brouwer$92070260 997 $aUNINA LEADER 04856nam 22006495 450 001 9910585793603321 005 20250630203220.0 010 $a3-031-12670-X 024 7 $a10.1007/978-3-031-12670-3 035 $a(MiAaPQ)EBC7050373 035 $a(Au-PeEL)EBL7050373 035 $a(CKB)24286004100041 035 $a(PPN)263897435 035 $a(DE-He213)978-3-031-12670-3 035 $a(EXLCZ)9924286004100041 100 $a20220725d2022 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aBig Data Analytics and Knowledge Discovery $e24th International Conference, DaWaK 2022, Vienna, Austria, August 22?24, 2022, Proceedings /$fedited by Robert Wrembel, Johann Gamper, Gabriele Kotsis, A Min Tjoa, Ismail Khalil 205 $a1st ed. 2022. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2022. 215 $a1 online resource (275 pages) 225 1 $aLecture Notes in Computer Science,$x1611-3349 ;$v13428 311 08$aPrint version: Wrembel, Robert Big Data Analytics and Knowledge Discovery Cham : Springer International Publishing AG,c2022 9783031126697 320 $aIncludes bibliographical references and index. 327 $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. 330 $aThis volume LNCS 13428 constitutes the papers of the 24 th International Conference on Big Data Analytics and Knowledge Discovery, held in August 2022 in Vienna, Austria. The 12 full papers presented together with 12 short papers in this volume were carefully reviewed and selected from a total of 57 submissions. The papers reflect a wide range of topics in the field of data integration, data warehousing, data analytics, and recently big data analytics, in a broad sense. The main objectives of this event are to explore, disseminate, and exchange knowledge in these fields. 410 0$aLecture Notes in Computer Science,$x1611-3349 ;$v13428 606 $aQuantitative research 606 $aData mining 606 $aApplication software 606 $aArtificial intelligence 606 $aData Analysis and Big Data 606 $aData Mining and Knowledge Discovery 606 $aComputer and Information Systems Applications 606 $aArtificial Intelligence 615 0$aQuantitative research. 615 0$aData mining. 615 0$aApplication software. 615 0$aArtificial intelligence. 615 14$aData Analysis and Big Data. 615 24$aData Mining and Knowledge Discovery. 615 24$aComputer and Information Systems Applications. 615 24$aArtificial Intelligence. 676 $a005.7 676 $a005.745 702 $aWrembel$b Robert 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910585793603321 996 $aBig data analytics and knowledge discovery$92201431 997 $aUNINA