Transactions on Large-Scale Data- and Knowledge-Centered Systems XXXV

1. Front Matter

   Pages I-IX

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2. The Data Quality Framework for the Estonian Public Sector and Its Evaluation

   • Jaak Tepandi, Mihkel Lauk, Janar Linros, Priit Raspel, Gunnar Piho, Ingrid Pappel et al.

   Pages 1-26

3. Bridging the Gap Between the Business and Social Worlds: A Data Artifact-Driven Approach

   • Zakaria Maamar, Vanilson Burégio, Mohamed Sellami, Nelson Souto Rosa, Zhengshuai Peng, Zachariah Subin et al.

   Pages 27-49

4. Privacy-Preserving Querying on Privately Encrypted Data in the Cloud

   • Feras Aljumah, Makan Pourzandi, Mourad Debbabi

   Pages 50-73

5. Comparison of Adaptive Neuro-Fuzzy Inference System (ANFIS) and Gaussian Process for Machine Learning (GPML) Algorithms for the Prediction of Norovirus Concentration in Drinking Water Supply

   • Hadi Mohammed, Ibrahim A. Hameed, Razak Seidu

   Pages 74-95

6. Cloud Computing Adoption in Healthcare Organisations: A Qualitative Study in Saudi Arabia

   • Fawaz Alharbi, Anthony Atkins, Clare Stanier

   Pages 96-131

7. Back Matter

   Pages 133-133

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This volume, the 35th issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains five fully-revised selected regular papers focusing on data quality, social-data artifacts, data privacy, predictive models, and e-health. Specifically, the five papers present and discuss a data-quality framework for the Estonian public sector; a data-driven approach to bridging the gap between the business and social worlds; privacy-preserving querying on privately encrypted data in the cloud; algorithms for the prediction of norovirus concentration in drinking water; and cloud computing in healthcare organizations in Saudi Arabia.

• information systems
• privacy preserving
• differential privacies
• cryptography
• privacy
• business process
• business process management
• computer systems
• cloud computing
• fuzzy sets
• data mining
• anfis
• fuzzy inference
• quality models
• information management
• data management
• data security
• data privacy

• IRIT, Paul Sabatier University, Toulouse, France

  Abdelkader Hameurlain

• FAW, University of Linz, Linz, Austria

  Josef Küng, Roland Wagner

• King Saud bin Abdulaziz University, Riyadh, Saudi Arabia

  Sherif Sakr, Imran Razzak, Alshammari Riyad

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