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Browsing by Author "Oğuz, Damla"
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Adaptive join operator for federated queries over linked data endpoints
Oğuz, Damla; Yin, Shaoyi; Hameurlain, Abdelkader; Ergenç, Belgin; Dikenelli, Oğuz (Springer, 2016)Traditional static query optimization is not adequate for query federation over linked data endpoints due to unpredictable data arrival rates and missing statistics. In this paper, we propose an adaptive join operator for ... -
Dynamic frequent itemset mining based on Matrix Appriori algorithm
Oğuz, Damla (Izmir Institute of Technology, 2012)The frequent itemset mining algorithms discover the frequent itemsets from a database. When the database is updated, the frequent itemsets should be updated as well. However, running the frequent itemset mining algorithms ... -
Extended adaptive join operator with bind-bloom join for federated SPARQL queries
Oğuz, Damla; Yin, Shaoyi; Ergenç, Belgin; Hameurlain, Abdelkader; Dikenelli, Oğuz (IGI Global, 2017-09)The goal of query optimization in query federation over linked data is to minimize the response time and the completion time. Communication time has the highest impact on them both. Static query optimization can end up ... -
Federated query processing on linked data: A qualitative survey and open challenges
Oğuz, Damla; Ergenç, Belgin; Yin, Shaoyi; Dikenelli, Oğuz; Hameurlain, Abdelkader (Cambridge University Press, 2015-08)A large number of data providers publish and connect their structured data on the Web as linked data. Thus, the Web of data becomes a global data space. In this paper, we initially give an overview of query processing ... -
Incremental itemset mining based on matrix Apriori algorithm
Oğuz, Damla; Ergenç, Belgin (Springer, 2012)Databases are updated continuously with increments and re-running the frequent itemset mining algorithms with every update is inefficient. Studies addressing incremental update problem generally propose incremental itemset ...
