000 | 05098cam a2200589Ii 4500 | ||
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003 | OCoLC | ||
005 | 20240806150320.0 | ||
008 | 210908s2021 sz a o 101 0 eng d | ||
020 | _a9783030865344 | ||
020 | _a3030865347 | ||
020 | _z9783030865337 | ||
020 | _z3030865339 | ||
041 | _aEnglish | ||
049 | _aMAIN | ||
072 | 7 |
_aUN _2bicssc |
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072 | 7 |
_aCOM021000 _2bisacsh |
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072 | 7 |
_aUN _2thema |
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072 | 7 |
_aUMT _2thema |
|
082 | 0 | 4 |
_a005.74 _223 _bGOL |
111 | 2 |
_aDaWaK (Conference) _n(23rd : _d2021 : _cOnline) |
|
245 | 1 | 0 |
_aBig data analytics and knowledge discovery : _b23rd international conference, DaWaK 2021 virtual event, September 27-30, 2021 : proceedings / _cMatteo Golfarelli, Robert Wrembel, Gabriele Kotsis, A Min Tjoa, Ismail Khalil (eds.). |
246 | 3 | 0 | _aDaWaK 2021. |
260 |
_aCham : _bSpringer, _c2021. |
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300 |
_a1 online resource : _billustrations (chiefly color). |
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490 | 1 |
_aLecture notes in computer science ; _v12925. |
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490 | 1 | _aLNCS sublibrary: SL3 - Information systems and applications, incl. Internet/Web, and HCI. | |
500 | _aInternational conference proceedings. | ||
500 | _aIncludes author index. | ||
505 | 0 | _aPerformance -- Bounding Box Representation of Co-Location Instances for L-infinity Induced Distance Measure -- Benchmarking Data Lakes Featuring Structured and Unstructured Data with DLBench -- Towards an Adaptive Multidimensional Partitioning for Accelerating Spark SQL -- Selecting Subexpressions to Materialize for Dynamic Large-scale Workloads -- Prediction Techniques -- A Chain Composite Item Recommender for Lifelong Pathways -- Health Analytics on COVID-19 Data with Few-Shot Learning -- Cognitive Visual Commonsense Reasoning Using Dynamic Working Memory -- Knowledge Representation -- Universal Storage Adaption for Distributed RDF-triple Stores -- RDF Data Management is an Analytical Market, not a Transaction one -- Document Ranking for Curated Document Databases using BERT and Knowledge Graph Embeddings: Introducing GRAB-Rank -- Advanced Analytics -- Contextual and Behavior Factors Extraction from Pedestrian Encounter Scenes Using Deep Language Models -- Spark based Text Clustering Method using Hashing -- Impact of textual data augmentation on linguistic pattern extraction to improve the idiomaticity of extractive summaries -- Explainability in Irony Detection -- Efficient Graph Analytics in Python for Large-scale Data Science -- Machine Learning and Deep Learning -- A New Accurate Clustering Approach for Detecting Different Densities in High Dimensional Data -- ODCA: an Outlier Detection Approach to Deal with Correlated Attributes -- A Novel Neurofuzzy Approach for Semantic Similarity Measurement -- Data Warehouse Processes and Maintenance -- Integrated Process Data and Organizational Data Analysis for Business Process Improvement -- Smart-Views: Decentralized OLAP View Management using Blockchains -- A workload-aware change data capture framework for data warehousing -- Machine Learning and Analtyics -- Motif Based Feature Vectors: Towards a Homogeneous Data Representation for Cardiovascular Diseases Classification -- Filter-based Feature Selection Methods for Industrial Sensor Data: A Review -- A Declarative Framework for mining Top-k High Utility Itemsets -- Multi-label Feature Selection Algorithm via Maximizing Label Correlation-aware Relevance and Minimizing Redundance with Mutation Binary Particle Swarm Optimization -- Mining Partially-Ordered Episode Rules with the Head Support -- Boosting Latent Inference of Resident Preference from Electricity Usage - A Demonstration on Online Advertisement Strategies. | |
506 | _aAccess restricted to subscribing institutions. | ||
520 | _aThis volume LNCS 12925 constitutes the papers of the 23rd International Conference on Big Data Analytics and Knowledge Discovery, held in September 2021. Due to COVID-19 pandemic it was held virtually. The 12 full papers presented together with 15 short papers in this volume were carefully reviewed and selected from a total of 71 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 | _aBig data | |
650 | 0 | _aData mining | |
650 | 0 | _vCongresses. | |
650 | 0 | _vCongresses. | |
700 | 1 | _aGolfarelli, Matteo, | |
700 | 1 | _aWrembel, Robert, | |
700 | 1 | _aKotsis, Gabriele, | |
700 | 1 | _aTjoa, A Min, | |
700 | 1 | _aKhalil, Ismail, | |
700 | 1 | _eeditor. | |
700 | 1 | _eeditor. | |
700 | 1 |
_d1967- _eeditor. |
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700 | 1 | _eeditor. | |
700 | 1 |
_d1960- _eeditor. |
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830 | 0 |
_aLecture notes in computer science ; _v12925. |
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830 | 0 |
_aLNCS sublibrary. _nSL 3, _pInformation systems and applications, incl. Internet/Web, and HCI. |
|
856 | 4 | 0 | _uhttps://ezproxy.lib.gla.ac.uk/login?url=https://link.springer.com/10.1007/978-3-030-86534-4 |
856 | 4 | 0 | _zConnect to e-book |
907 | _a.b38091963 | ||
942 |
_2ddc _cBOOKS |
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999 |
_c43328 _d43328 |