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ORCID26th DaWaK 2024: Naples, Italy
- Robert Wrembel
, Silvia Chiusano, Gabriele Kotsis, A Min Tjoa, Ismail Khalil:
Big Data Analytics and Knowledge Discovery - 26th International Conference, DaWaK 2024, Naples, Italy, August 26-28, 2024, Proceedings. Lecture Notes in Computer Science 14912, Springer 2024, ISBN 978-3-031-68322-0
Modeling and Design
- Xiaoying Wu, Senyang Wang, Xin Liu, Dimitri Theodoratos, Md Rakibul Hasan:
LiteSelect: A Lightweight Adaptive Learning Algorithm for Online Index Selection. 3-18 - Oumaima El Haddadi, Max Chevalier, Bernard Dousset, Ahmad El Allaoui, Anass El Haddadi, Olivier Teste:
IDAGEmb: An Incremental Data Alignment Based on Graph Embedding. 19-33 - Michael Mayr, Georgios C. Chasparis, Josef Küng:
Learning Paradigms and Modelling Methodologies for Digital Twins in Process Industry. 34-47
Entity Matching and Similarity
- John Bosco Mugeni, Steven J. Lynden, Toshiyuki Amagasa, Akiyoshi Matono:
MultiMatch: Low-Resource Generalized Entity Matching Using Task-Conditioned Hyperadapters in Multitask Learning. 51-65 - Nour Elhouda Kired, Franck Ravat, Jiefu Song, Olivier Teste:
Embedding-Based Data Matching for Disparate Data Sources. 66-71 - Takuya Mizokami, Savong Bou, Toshiyuki Amagasa:
Subtree Similarity Search Based on Structure and Text. 72-87
Classification
- Anli Ji, Chetraj Pandey, Berkay Aydin:
Towards Hybrid Embedded Feature Selection and Classification Approach with Slim-TSF. 91-105 - Laura Erhan, Lucia Cavallaro, Mattia Andrea Antinori, Antonio Liotta:
Evaluation of High Sparsity Strategies for Efficient Binary Classification. 106-111 - Wan D. Bae, Shayma Alkobaisi, Siddheshwari Bankar, Sartaj Bhuvaji, Jay Singhvi, Madhuroopa Irukulla, William McDonnell:
Incremental SMOTE with Control Coefficient for Classifiers in Data Starved Medical Applications. 112-119 - Mohammad Shirdel, Mario Di Mauro, Antonio Liotta:
Exploring Evaluation Metrics for Binary Classification in Data Analysis: the Worthiness Benchmark Concept. 120-125
Machine Learning Methods and Applications
- Ziwei Xu, Ryutaro Ichise:
Exploring Causal Chain Identification: Comprehensive Insights from Text and Knowledge Graphs. 129-146 - Robin Cugny, Julien Aligon, Max Chevalier, Geoffrey Roman-Jimenez, Olivier Teste:
Towards Regional Explanations with Validity Domains for Local Explanations. 147-161 - Richard A. A. Jonker, Tiago Melo Almeida, Sérgio Matos:
Analyzing a Decade of Evolution: Trends in Natural Language Processing. 162-176 - Taichi Nakashima, Hanxiong Chen, Kazutaka Furuse:
Improving Serendipity for Collaborative Metric Learning Based on Mutual Proximity. 177-191 - Ranran Bian, R. Willem Vervoort:
Ada2vec: Adaptive Representation Learning for Large-Scale Dynamic Heterogeneous Networks. 192-207 - Islam A. Monir, Gabriel Ghinita:
Differentially-Private Neural Network Training with Private Features and Public Labels. 208-222
Time Series
- Phillip Wenig, Thorsten Papenbrock:
Series2Graph++: Distributed Detection of Correlation Anomalies in Multivariate Time Series. 225-230 - Paul Wiessner, Grigor Bezirganyan, Sana Sellami, Richard Chbeir, Hans-Joachim Bungartz:
Anomaly Detection from Time Series Under Uncertainty. 231-238 - Adam Charane, Matteo Ceccarello, Johann Gamper:
Comparison of Measures for Characterizing the Difficulty of Time Series Classification. 239-244 - Anna-Christina Glock, Johannes Fürnkranz:
Dynamic Time Warping for Phase Recognition in Tribological Sensor Data. 245-250
Data Repositories
- Melanie Herschel, Andreas Gienger, Anja Patricia Regina Lauer, Charlotte Stein, Lior Skoury, Nico Lässig, Carsten Ellwein, Alexander Verl, Thomas Wortmann, Cristina Tarín-Sauer:
Putting Co-Design-Supporting Data Lakes to the Test: An Evaluation on AEC Case Studies. 253-268 - Sigmundur Vang, Christian Thomsen, Torben Bach Pedersen:
Creating and Querying Data Cubes in Python Using PyCube. 269-283 - Dimitri Van Landuyt, Marie Levrau, Vincent Reniers, Wouter Joosen:
An E-Commerce Benchmark for Evaluating Performance Trade-Offs in Document Stores. 284-290
Optimization
- Lihi Idan:
Effective Reward Schemes for Tardiness Optimization. 293-298 - Baoming Chang, Amin Kamali, Verena Kantere:
A Novel Technique for Query Plan Representation Based on Graph Neural Nets. 299-314 - Chiara Balestra, Antonio Ferrara, Emmanuel Müller:
FairMC Fair-Markov Chain Rank Aggregation Methods. 315-321 - Shun Kawakami, Savong Bou, Toshiyuki Amagasa:
LSiX: A Scheme for Efficient Multiple Continuous Window Aggregation Over Streams. 322-328
Applications
- Kassem Sabeh, Mouna Kacimi, Johann Gamper:
QPAVE: A Multi-task Question Answering Approach for Fine-Grained Product Attribute Value Extraction. 331-345 - Rieke Müller, Mohamed Abdelaal, Davor Stjelja:
Open-Source Drift Detection Tools in Action: Insights from Two Use Cases. 346-352 - Tadeusz Morzy, Maciej Zakrzewicz:
A Study on Database Intrusion Detection Based on Query Execution Plans. 353-358 - Jose Alejandro Libreros, Muhammad Hamza Shafiq, Edwin Gamboa, Martin Cleven, Matthias Hirth:
Visual Transformers Meet Convolutional Neural Networks: Providing Context for Convolution Layers in Semantic Segmentation of Remote Sensing Photovoltaic Imaging. 359-366
Data Quality and Applications
- Sabrina Luftensteiner, Patrick Praher, Nicole Schwarz:
NADA: NMF-Based Anomaly Detection in Adjacency-Matrices for Industrial Machine Log-Files. 369-374 - Manh Khoi Duong, Stefan Conrad:
Trusting Fair Data: Leveraging Quality in Fairness-Driven Data Removal Techniques. 375-380 - Payel Santra, Madhusudan Ghosh, Debasis Ganguly, Partha Basuchowdhuri, Sudip Kumar Naskar:
"The Absence of Evidence is Not the Evidence of Absence": Fact Verification via Information Retrieval-Based In-Context Learning. 381-387 - Emetis Niazmand, Maria-Esther Vidal:
Discovering Relationships Among Properties in Wikidata Knowledge Graph. 388-394 - Valerio Antonini, Michael Scriney, Alessandra Mileo, Mark Roantree:
Using a Spatial Grid Model to Interpret Players Movement in Field Sports. 395-400
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