| Title | Date | Views | Brief Description |
|---|
| Interoperability of XML and relational data-optimization algorithm |
2005 |
2581 |
"Within the past six years, Extensible Markup Language (XML) has spread rapidly and has gained popularity in the database community with its primary focus in the design of query languages and storage methods to select data from vast amounts of XML da... |
| A distributed approach to XML interoperability |
2007 |
1906 |
"We expand upon previous research performed on creating a lightweight infrastructure for the purpose of achieving interoperability among XML data sources. The approach is based on enriching local sources with semantic declarations so as to enable int... |
| Improving efficiency in XML interoperability |
2007 |
1266 |
"The problem of interoperability among XML data sources is one studied by Laks V. S. Lakshmanan and Fereidoon Sadri, and expression their research findings and ideas appear in the paper [7]. Their research presents a lightweight framework that enrich... |
| Integrating uncertain XML data from different sources. |
2009 |
1536 |
Data Integration has become increasingly important with today's rapid growth of information available on the web and in electronic form. In the past several years, extensive work has been done to make use of the available data from different sources,... |
| Query optimization in XML based information integration for queries involving aggregation and group by. |
2009 |
1358 |
This thesis addresses optimization and processing of queries involving aggregation and group-by in the semantic-model approach to information integration. Query processing algorithms materialization, subqueries, and wrapper have been extended for suc... |
| Uncertain data integration with probabilities |
2013 |
1726 |
Real world applications that deal with information extraction, such as business intelligence software or sensor data management, must often process data provided with varying degrees of uncertainty. Uncertainty can result from multiple or inconsisten... |
| Fusing uncertain data with probabilities |
2016 |
874 |
Discovering the correct data among the uncertain and possibly conflicting mined data is the main goal of data fusion. The recent research in fusing uncertain data shows that taking source confidence into account helps to achieve this goal because the... |
| A transfer learning-based feature reduction method to improve classification accuracy |
2017 |
778 |
The need for efficient data use grows in machine learning algorithm for dataset with larger feature sets. Feature selection is the process of selecting minimum set of features that fully represent the learning problem. Transfer learning can motivate ... |