A5089747905- Advanced Database Systems and Queries
- Advanced Software Engineering Methodologies
- Data Mining Algorithms and Applications
- Data Quality and Management
- Semantic Web and Ontologies
- Bayesian Modeling and Causal Inference
- Service-Oriented Architecture and Web Services
- Software Engineering Research
- Model-Driven Software Engineering Techniques
- Text and Document Classification Technologies
- African Botany and Ecology Studies
- Cassava research and cyanide
- Software System Performance and Reliability
- COVID-19 Clinical Research Studies
- AI-based Problem Solving and Planning
- Data Management and Algorithms
- Long-Term Effects of COVID-19
- SARS-CoV-2 and COVID-19 Research
- Essential Oils and Antimicrobial Activity
- Isotope Analysis in Ecology
- Bee Products Chemical Analysis
- Phytochemicals and Antioxidant Activities
Fasa University
2022
Fasa University of Medical Sciences
2022
Oregon State University
2015-2021
Mashhad University of Medical Sciences
2020
Learning novel relations from relational databases is an important problem with many applications. Relational learning algorithms learn the definition of a new relation in terms existing database. Nevertheless, same database may be represented under different schemas for various reasons, such as data quality, efficiency and usability. The output current tends to vary quite substantially over choice schema. This variation complicates their off-the-shelf application. We introduce formalize...
Data variations are prevalent in real-world applications. For example, software vendors handle the business requirements, conventions, and environmental settings of a product using hundreds features each combination which creates different version product. In database-backed software, database may have schema content. Variations value representation element dataset give rise to numerous variants these Users often would like express information needs over all such variants. vendor perform...
Many problems require working with data that varies in its structure and content. Current approaches, such as schema evolution or integration tools, are highly tailored to specific kinds of variation databases. While these approaches work well their roles, they do not address all the interaction different In this paper, we define a framework for capturing generic orthogonal con- cern relational We variational schemas, databases, queries structure, content, information needs respectively....
Variability permeates software development to satisfy ever-changing requirements and mass-customization needs. A prime example is the Linux kernel, which employs C preprocessor specify a set of related but distinct kernel variants. To study, analyze, verify variational software, several formal languages have been proposed. For example, choice calculus has successfully applied for type checking symbolic execution configurable while other formalisms used model checking, change impact analysis,...
Variation occurs in databases many different forms and contexts. For example, a single database schema evolves over time, data from sources may be combined, the various configurations of software product line (SPL) have needs. While approaches been developed to deal with such scenarios, particularly fields evolution integration, there is no solution that treats variation as general orthogonal concern databases. This problem when kinds intersect, during SPL. Previously, we proposed...
Variability inherently exists in databases various contexts which creates database variants. For example, variants of a could have different schemas/content (database evolution problem), root from sources (data integration be deployed differently for specific application domain (deploying configurations software system), etc. Unfortunately, while there are solutions to each the problems arising these contexts, is no general solution that accounts variability and addresses managing within...
Cheese is one of the valuable dairy products that has a significant role in feeding most people society.During or after production process, cheeses may become contaminated with moulds, which can endanger health product and reduce its marketability.Cheese foods suitable conditions for growth fungi.The purpose this study was to isolate identify contaminants ultrafiltration (UF) offered Fasa city.For purpose, 110 samples cheese cans from different factories were randomly collected market kept...
Learning novel relations from relational databases is an important problem with many applications in database systems and machine learning. Relational learning algorithms leverage the properties of schema to find definition target relation terms existing database. However, same data set may be represented under different schemas for various reasons, such as efficiency quality. Unfortunately, current tend vary quite substantially over choice schema, which complicates their off-the-shelf...
Learning novel concepts and relations from relational databases is an important problem with many applications in database systems machine learning. Relational learning algorithms learn the definition of a new relation terms existing database. Nevertheless, same data set may be represented under different schemas for various reasons, such as efficiency, quality, usability. Unfortunately, output current tends to vary quite substantially over choice schema, both accuracy efficiency. This...
Study the antifungal activities of Trachyspermum ammi, Satureja hortensis, and Mentha piperita against mold contaminating Iranian white cheese