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25th DaWaK 2023
- Robert Wrembel
, Johann Gamper
, Gabriele Kotsis, A Min Tjoa
, Ismail Khalil:
Big Data Analytics and Knowledge Discovery - 25th International Conference, DaWaK 2023, Penang, Malaysia, August 28-30, 2023, Proceedings. Lecture Notes in Computer Science 14148, Springer 2023, ISBN 978-3-031-39830-8
Data Quality
- Camila Sanz
, Adriana Marotta
:
Using Ontologies as Context for Data Warehouse Quality Assessment. 3-17 - Alexis Guyot
, Éric Leclercq
, Annabelle Gillet
, Nadine Cullot
:
Preventing Technical Errors in Data Lake Analyses with Type Theory. 18-24 - Egawati Panjei
, Le Gruenwald
:
EXOS: Explaining Outliers in Data Streams. 25-41 - Omar Bahri
, Peiyu Li
, Soukaina Filali Boubrahimi
, Shah Muhammad Hamdi
:
Motif Alignment for Time Series Data Augmentation. 42-48 - Bin Li
, Emmanuel Müller
:
State-Transition-Aware Anomaly Detection Under Concept Drifts. 49-63 - Hewen Wang, Renchi Yang, Jieming Shi:
Anomaly Detection in Financial Transactions Via Graph-Based Feature Aggregations. 64-79 - Anna Dalla Vecchia
, Niccolò Marastoni
, Barbara Oliboni
, Elisa Quintarelli
:
The Synergies of Context and Data Aging in Recommendations. 80-87
Advanced Analytics and Pattern Discovery
- Kazuya Nagasato, Satoshi Takabe, Kazuyuki Shudo:
Hypergraph Embedding Based on Random Walk with Adjusted Transition Probabilities. 91-100 - Gernot Schmitz, Daniel Wilmes, Alexander Gerharz, Daniel Horn, Emmanuel Müller:
Contextual Shift Method (CSM). 101-106 - Priscile Audrey Fongue Assondji, Jerry Lonlac, Norbert Tsopzé
:
Utility-Oriented Gradual Itemsets Mining Using High Utility Itemsets Mining. 107-113 - Kaoru Shimada
, Shogo Matsuno
, Shota Saito
:
Discovery of Contrast Itemset with Statistical Background Between Two Continuous Variables. 114-119 - Ke Zhang, Hengchang Liu, Siobhán Clarke:
DBGAN: A Data Balancing Generative Adversarial Network for Mobility Pattern Recognition. 120-134 - Elieser Capillar, Chowdhury Abdul Mumin Ishmam, Carson K. Leung
, Adam G. M. Pazdor, Prabhanshu Shrivastava, Ngoc Bao Chau Truong:
Bitwise Vertical Mining of Minimal Rare Patterns. 135-141 - Thomas Kastner, Hubert Cardot, Dominique H. Li:
Inter-item Time Intervals in Sequential Patterns. 142-148 - Xin Huang, Xiangyang Meng, Ni Zhao, Wenbin Zhang, Jianwu Wang:
Fair-DSP: Fair Dynamic Survival Prediction on Longitudinal Electronic Health Record. 149-157
Machine Learning
- Abderrazek Azri
, Cécile Favre, Nouria Harbi, Jérôme Darmont
, Camille Noûs:
DAT@Z21: A Comprehensive Multimodal Dataset for Rumor Classification in Microblogs. 161-175 - Manh Khoi Duong
, Stefan Conrad
:
Dealing with Data Bias in Classification: Can Generated Data Ensure Representation and Fairness? 176-190 - Rikuya Miyashita, Kazuki Nakajima, Mei Fukuda, Kazuyuki Shudo:
Random Hypergraph Model Preserving Two-Mode Clustering Coefficient. 191-196 - Motaz Ben Hassine, Saïd Jabbour, Mourad Kmimech, Badran Raddaoui, Mohamed Graiet:
A Non-overlapping Community Detection Approach Based on α-Structural Similarity. 197-211 - Robin Varghese, Carlos Ordonez:
Improving Stochastic Gradient Descent Initializing with Data Summarization. 212-223 - Kosuke Wakasugi, Futo Yamamoto, Yu Suzuki, Akiyo Nadamoto:
Feature Analysis of Regional Behavioral Facilitation Information Based on Source Location and Target People in Disaster. 224-232 - Maliha Sultana, Osmar R. Zaïane:
Exploring Dialog Act Recognition in Open Domain Conversational Agents. 233-247 - Fiona Anting Tan
, Xinyu Zuo, See-Kiong Ng:
UniCausal: Unified Benchmark and Repository for Causal Text Mining. 248-262
Deep Learning
- Thomas Ranvier
, Haytham Elghazel, Emmanuel Coquery, Khalid Benabdeslem:
Accounting for Imputation Uncertainty During Neural Network Training. 265-280 - Mehzabin Sadat Aothoi
, Samin Ahsan
, Najeefa Nikhat Choudhury
, Annajiat Alim Rasel
:
Supervised Hybrid Model for Rumor Classification: A Comparative Study of Machine and Deep Learning Approaches. 281-286 - Peiyu Li
, Omar Bahri
, Soukaïna Filali Boubrahimi
, Shah Muhammad Hamdi
:
Attention-Based Counterfactual Explanation for Multivariate Time Series. 287-293 - Adnan Bashir
, Trilce Estrada
:
DRUM: A Real Time Detector for Regime Shifts in Data Streams via an Unsupervised, Multivariate Framework. 294-302 - Ali Taghibakhshi, Mingyuan Ma, Ashwath Aithal, Onur Yilmaz, Haggai Maron, Matthew West:
Hierarchical Graph Neural Network with Cross-Attention for Cross-Device User Matching. 303-315
Data Management
- Lea El Ahdab, Olivier Teste
, Imen Megdiche, André Péninou:
Unified Views for Querying Heterogeneous Multi-model Polystores. 319-324 - Lara Kuhlmann
, Daniel Wilmes
, Emmanuel Müller
, Markus Pauly
, Daniel Horn
:
RODD: Robust Outlier Detection in Data Cubes. 325-339 - Damianos Chatziantoniou, Verena Kantere:
Data-driven and On-Demand Conceptual Modeling. 340-355 - Elijah Mitchell
, Nabila Berkani, Ladjel Bellatreche, Carlos Ordonez:
FLOWER: Viewing Data Flow in ER Diagrams. 356-371 - Alfredo Cuzzocrea, Selim Soufargi:
Supporting Big Healthcare Data Management and Analytics: The Cloud-Based QFLS Framework. 372-379 - Jinsu Hong
, Anli Ji
, Chetraj Pandey
, Berkay Aydin
:
Beyond Traditional Flare Forecasting: A Data-driven Labeling Approach for High-fidelity Predictions. 380-385 - Adeel Aslam
, Giovanni Simonini
, Luca Gagliardelli
, Angelo Mozzillo
, Sonia Bergamaschi
:
HKS: Efficient Data Partitioning for Stateful Streaming. 386-391 - François Pitois
, Hamida Seba
, Mohammed Haddad
:
A Fine-Grained Structural Partitioning Approach to Graph Compression. 392-397
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