Produktbild: Big Data Analytics and Knowledge Discovery
Band 12925

Big Data Analytics and Knowledge Discovery 23rd International Conference, DaWaK 2021, Virtual Event, September 27–30, 2021, Proceedings

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

05.09.2021

Herausgeber

Matteo Golfarelli + weitere

Verlag

Springer

Seitenzahl

282

Maße (L/B/H)

23,5/15,5/1,7 cm

Gewicht

452 g

Auflage

1st ed. 2021

Sprache

Englisch

ISBN

978-3-030-86533-7

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

05.09.2021

Herausgeber

Verlag

Springer

Seitenzahl

282

Maße (L/B/H)

23,5/15,5/1,7 cm

Gewicht

452 g

Auflage

1st ed. 2021

Sprache

Englisch

ISBN

978-3-030-86533-7

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: GPSR Kontakt

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  • Produktbild: Big Data Analytics and Knowledge Discovery
  • Performance.- 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.