A5071186406- Security and Verification in Computing
- Access Control and Trust
- Big Data and Business Intelligence
- Cloud Data Security Solutions
- Data Quality and Management
- IoT and Edge/Fog Computing
- Artificial Intelligence in Healthcare
King Fahd University of Petroleum and Minerals
2024
Institute of Business Administration Karachi
2024
Karachi Institute of Economics and Technology
2009-2024
Qassim University
2024
The advent of healthcare information management systems (HIMSs) continues to produce large volumes data for patient care and compliance regulatory requirements at a global scale. Analysis this big allows boundless potential outcomes discovering knowledge. Big analytics (BDA) in can, instance, help determine causes diseases, generate effective diagnoses, enhance QoS guarantees by increasing efficiency the delivery effectiveness viability treatments, accurate predictions readmissions, clinical...
Security models, developed for databases, differ in many aspects because they focus on different features of the database security problem or make assumptions about what constitutes a secure database. This leads to disjointed and incomplete understanding organizational strategy. makes it difficult reconcile requirements. paper discusses various issues databases. approach is useful planning explicit directive based
The idea of data warehousing is model independence and does not require the adoption any model. Nevertheless, relational databases are assumed to be used in common notion warehouses. Typically, it thought that warehouses storage, database management systems (RDBMSs) process them. Data frequently features Structured Query Language (SQL) reporting capabilities, enabling access a standard manner. "Not only SQL" (NoSQL) viewed as high-speed structures appropriate for filtering lookup operations...