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ORCID23rd DaWaK 2021
- Matteo Golfarelli
, Robert Wrembel, Gabriele Kotsis, A Min Tjoa, Ismail Khalil:
Big Data Analytics and Knowledge Discovery - 23rd International Conference, DaWaK 2021, Virtual Event, September 27-30, 2021, Proceedings. Lecture Notes in Computer Science 12925, Springer 2021, ISBN 978-3-030-86533-7
Performance
- Witold Andrzejewski, Pawel Boinski:
Bounding Box Representation of Co-location Instances for L∞ Induced Distance Measure. 3-14 - Pegdwendé N. Sawadogo, Jérôme Darmont:
Benchmarking Data Lakes Featuring Structured and Unstructured Data with DLBench. 15-26 - Soumia Benkrid, Ladjel Bellatreche, Yacine Mestoui, Carlos Ordonez:
Towards an Adaptive Multidimensional Partitioning for Accelerating Spark SQL. 27-38 - Mustapha Chaba Mouna, Ladjel Bellatreche, Boustia Narhimene:
Selecting Subexpressions to Materialize for Dynamic Large-Scale Workloads. 39-51
Prediction Techniques
- Alexandre Chanson, Thomas Devogele, Nicolas Labroche, Patrick Marcel, Nicolas Ringuet, Vincent T'kindt:
A Chain Composite Item Recommender for Lifelong Pathways. 55-66 - Carson K. Leung, Daryl L. X. Fung, Calvin S. H. Hoi:
Health Analytics on COVID-19 Data with Few-Shot Learning. 67-80 - Xuejiao Tang, Xin Huang, Wenbin Zhang, Travers B. Child, Qiong Hu, Zhen Liu, Ji Zhang:
Cognitive Visual Commonsense Reasoning Using Dynamic Working Memory. 81-93
Knowledge Representation
- Ahmed I. A. Al-Ghezi, Lena Wiese:
Universal Storage Adaption for Distributed RDF-Triple Stores. 97-108 - Olivier Curé, Christophe Callé, Philippe Calvez:
RDF Data Management is an Analytical Market, not a Transaction One. 109-115 - Iqra Muhammad, Danushka Bollegala, Frans Coenen, Carrol Gamble, Anna Kearney, Paula Williamson:
Document Ranking for Curated Document Databases Using BERT and Knowledge Graph Embeddings: Introducing GRAB-Rank. 116-127
Advanced Analytics
- Jithesh Gugan Sreeram, Xiao Luo, Renran Tian:
Contextual and Behavior Factors Extraction from Pedestrian Encounter Scenes Using Deep Language Models. 131-136 - Mohamed Aymen Ben HajKacem, Chiheb-Eddine Ben N'cir, Nadia Essoussi:
Spark Based Text Clustering Method Using Hashing. 137-142 - Abdelghani Laifa, Laurent Gautier, Christophe Cruz:
Impact of Textual Data Augmentation on Linguistic Pattern Extraction to Improve the Idiomaticity of Extractive Summaries. 143-151 - Ege Berk Buyukbas, Adnan Harun Dogan, Asli Umay Öztürk, Pinar Karagoz:
Explainability in Irony Detection. 152-157 - Xiantian Zhou, Carlos Ordonez:
Efficient Graph Analytics in Python for Large-Scale Data Science. 158-164
Machine Learning and Deep Learning
- Nabil El Malki, Robin Cugny, Olivier Teste, Franck Ravat:
A New Accurate Clustering Approach for Detecting Different Densities in High Dimensional Data. 167-179 - Fabrizio Angiulli, Fabio Fassetti, Cristina Serrao:
ODCA: An Outlier Detection Approach to Deal with Correlated Attributes. 180-191 - Jorge Martinez-Gil, Riad Mokadem, Josef Küng, Abdelkader Hameurlain:
A Novel Neurofuzzy Approach for Semantic Similarity Measurement. 192-203
Data Warehouse Processes and Maintenance
- Alexis Artus, Andrés Borges, Daniel Calegari, Andrea Delgado:
Integrated Process Data and Organizational Data Analysis for Business Process Improvement. 207-215 - Kostas Messanakis, Petros Demetrakopoulos, Yannis Kotidis:
Smart-Views: Decentralized OLAP View Management Using Blockchains. 216-221 - Weiping Qu, Xiufeng Liu, Stefan Dessloch:
A Workload-Aware Change Data Capture Framework for Data Warehousing. 222-231
Machine Learning and Analtyics
- Hanadi Aldosari, Frans Coenen, Gregory Yoke Hong Lip, Yalin Zheng:
Motif Based Feature Vectors: Towards a Homogeneous Data Representation for Cardiovascular Diseases Classification. 235-241 - Sabrina Luftensteiner, Michael Mayr, Georgios C. Chasparis:
Filter-Based Feature Selection Methods for Industrial Sensor Data: A Review. 242-249 - Amel Hidouri, Saïd Jabbour, Badran Raddaoui, Mouna Chebbah, Boutheina Ben Yaghlane:
A Declarative Framework for Mining Top-k High Utility Itemsets. 250-256 - Xiaolin Zhu, Yuanyuan Tao, Jun Li, Jianhua Xu:
Multi-label Feature Selection Algorithm via Maximizing Label Correlation-Aware Relevance and Minimizing Redundance with Mutation Binary Particle Swarm Optimization. 257-265 - Yangming Chen, Philippe Fournier-Viger, Farid Nouioua, Youxi Wu:
Mining Partially-Ordered Episode Rules with the Head Support. 266-271 - Lo Pang-Yun Ting, Po-Hui Wu, Jhe-Yun Jhang, Kai-Jun Yang, Yen-Ju Chen, Kun-Ta Chuang:
Boosting Latent Inference of Resident Preference from Electricity Usage - A Demonstration on Online Advertisement Strategies. 272-279
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