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ORCIDJournal of Data and Information Quality, Volume 14
Volume 14, Number 1, March 2022
- Mahmoud Barhamgi, Elisa Bertino:
Editorial: Special Issue on Data Transparency - Data Quality, Annotation, and Provenance. 1:1-1:3 - Saravanan Thirumuruganathan, Mayuresh Kunjir, Mourad Ouzzani, Sanjay Chawla:
Automated Annotations for AI Data and Model Transparency. 2:1-2:9 - Sandra Geisler
, Maria-Esther Vidal, Cinzia Cappiello, Bernadette Farias Lóscio, Avigdor Gal, Matthias Jarke, Maurizio Lenzerini, Paolo Missier, Boris Otto, Elda Paja, Barbara Pernici, Jakob Rehof:
Knowledge-Driven Data Ecosystems Toward Data Transparency. 3:1-3:12 - Khalid Belhajjame:
On the Anonymization of Workflow Provenance without Compromising the Transparency of Lineage. 4:1-4:27 - Tooska Dargahi, Hossein Ahmadvand, Mansour Naser Alraja, Chia-Mu Yu:
Integration of Blockchain with Connected and Autonomous Vehicles: Vision and Challenge. 5:1-5:10
Volume 14, Number 2, June 2022
- Mahmoud Barhamgi, Elisa Bertino:
Editorial: Special Issue on Data Transparency - Uses Cases and Applications. 6:1-6:3 - Youakim Badr, Rahul Sharma:
Data Transparency and Fairness Analysis of the NYPD Stop-and-Frisk Program. 7:1-7:14 - Chien-Lun Chen, Leana Golubchik, Ranjan Pal:
Achieving Transparency Report Privacy in Linear Time. 8:1-8:56 - Lara Mauri, Ernesto Damiani:
Estimating Degradation of Machine Learning Data Assets. 9:1-9:15 - Bin Wang, Pengfei Guo, Xing Wang, Yongzhong He, Wei Wang:
Transparent Aspect-Level Sentiment Analysis Based on Dependency Syntax Analysis and Its Application on COVID-19. 10:1-10:24
- Che-Yun Hsu, Ting-Rui Chen, Hung-Hsuan Chen:
Experience: Analyzing Missing Web Page Visits and Unintentional Web Page Visits from the Client-side Web Logs. 11:1-11:17
- Sudhir Kumar Patnaik, C. Narendra Babu:
A Web Information Extraction Framework with Adaptive and Failure Prediction Feature. 12:1-12:21
Volume 14, Number 3, September 2022
- Ihab F. Ilyas, Theodoros Rekatsinas:
Machine Learning and Data Cleaning: Which Serves the Other? 13:1-13:11
- Donatello Santoro, Saravanan Thirumuruganathan, Paolo Papotti:
Editorial: Special Issue on Deep Learning for Data Quality. 14:1-14:3 - Renzhi Wu, Nilaksh Das, Sanya Chaba, Sakshi Gandhi, Duen Horng Chau, Xu Chu:
A Cluster-then-label Approach for Few-shot Learning with Application to Automatic Image Data Labeling. 15:1-15:23 - Roee Shraga, Avigdor Gal:
PoWareMatch: A Quality-aware Deep Learning Approach to Improve Human Schema Matching. 16:1-16:27
- Md. Enamul Haque, Mehmet Engin Tozal:
Negative Insurance Claim Generation Using Distance Pooling on Positive Diagnosis-Procedure Bipartite Graphs. 17:1-17:26 - Camil Demetrescu, Irene Finocchi, Andrea Ribichini, Marco Schaerf:
Which Conference Is That? A Case Study in Computer Science. 18:1-18:13 - Dennis Gram, Pantelis Karapanagiotis, Marius Liebald, Uwe Walz:
Design and Implementation of a Historical German Firm-level Financial Database. 19:1-19:22 - Zheng Zheng, Longtao Zheng, Morteza Alipour Langouri, Fei Chiang, Lukasz Golab, Jaroslaw Szlichta, Sridevi Baskaran:
Contextual Data Cleaning with Ontology Functional Dependencies. 20:1-20:26
- Philipp Hacker, Felix Naumann, Tobias Friedrich, Stefan Grundmann, Anja Lehmann, Herbert Zech:
AI Compliance - Challenges of Bridging Data Science and Law. 21:1-21:4
Volume 14, Number 4, December 2022
- Yuanxia Li, Faiz Currim, Sudha Ram:
Data Completeness and Complex Semantics in Conceptual Modeling: The Need for a Disaggregation Construct. 22:1-22:21
- Justin M. Johnson, Taghi M. Khoshgoftaar:
A Survey on Classifying Big Data with Label Noise. 23:1-23:43
- Donatella Firmani, Letizia Tanca, Riccardo Torlone:
Editorial: Special Issue on Data Quality and Ethics. 24:1-24:3 - Mariachiara Mecati, Antonio Vetrò, Marco Torchiano:
Detecting Risk of Biased Output with Balance Measures. 25:1-25:7 - Chiara Accinelli, Barbara Catania, Giovanna Guerrini, Simone Minisi:
A Coverage-based Approach to Nondiscrimination-aware Data Transformation. 26:1-26:26 - H. V. Jagadish, Julia Stoyanovich, Bill Howe:
The Many Facets of Data Equity. 27:1-27:21 - Lacramioara Mazilu, Norman W. Paton, Nikolaos Konstantinou, Alvaro A. A. Fernandes:
Fairness-aware Data Integration. 28:1-28:26 - Fabio Azzalini, Chiara Criscuolo, Letizia Tanca:
E-FAIR-DB: Functional Dependencies to Discover Data Bias and Enhance Data Equity. 29:1-29:26
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