Journal Manuscripts (last 5 years)
D. Oğuz, S. Yin, B. Ergenç Bostanoğlu, A. Hameurlain, O. Dikenelli. Extended Adaptive Join Operator with Bind-Bloom Join for Federated SPARQL Queries. International Journal of Data Warehousing and Mining, 13(3), 2017.
D. Oğuz, B. Ergenç, S. Yin, O. Dikenelli and A. Hameurlain, “Federated Query Processing on Linked Data: A Qualitative Survey and Open Challenges”, The Knowledge Engineering Review, Vol. 30, No. 5, pp. 545-563, 2015. (DOI:10.1017/S0269888915000107)
T. Ayav and B. Ergenç, “Full-Exact Approach for Frequent Itemset Hiding”, International Journal of Data Warehousing and Mining, Vol. 11, No.4, pp. 49-63, October-December 2015. (DOI:10.4018/ijdwm.2015100103)
D. Oğuz, B. Yıldız and B. Ergenç, “Matrix-Based Dynamic Itemset Mining Algorithm”, International Journal of Data Warehousing and Mining, Vol. 9, No. 4, pp. 62-75, October-December 2013.
Conference Proceeding (last 5 years)
S. Darrab, B. Ergenç Bostanoğlu. Vertical Pattern Mining Algorithm for Multiple Support Thresholds, . 21st International Conference on Knowledge-Based and Intelligent Information & Engineering Systems, 6-8 September , Marseille, France, 2017.
Nourhan Abuzayed, B. Ergenç Bostanoğlu. Comparison of Dynamic Itemset Mining Algorithms for Multiple Support Thresholds. 21st International Database Engineering and Applications Symposium IDEAS 2017, Byte Press, 309-316, 12-14 July, Bristol, England, 2017.
N. Abuzayed and B. Ergenç, “Dynamic Itemset Mining under Multiple Support Thresholds”, The 2nd International Conference on Fuzzy Systems and Data Mining, China Macau, 11-14 December 2016 (under review)
D. Oguz, S. Yin, A. Hameurlain, B. Ergenç, & Dikenelli, O. “Adaptive Join Operator for Federated Queries over Linked Data Endpoints”. 20th East-European Conference on Advances in Databases and Information Systems (ADBIS 2016), Prague, Czech Republic, 28-31 August, 2016.
S. Darrab and B. Ergenç, “Frequent Pattern Mining under Multiple Support Thresholds”, Wseas Transactions on Computer Research, 16th Applied Computer Science Conference, E-ISSN: 2415-1513, April 13-15, 2016.
E. Leloğlu, T. Ayav and B. Ergenç, “Coefficient-Based Exact Approach for Frequent Itemset Hiding”, eKNOW 2014, Sixth International Conference on Information, Process, and Knowledge Management, IARIA, ISBN: 978-1-61208-329-2, 2014.
D. Oğuz and B. Ergenç, “Incremental Itemset Mining Based on Matrix Apriori”, DEXA-DaWaK, Vienna, Austria, September 3-6, LNCS Volume 7448, pp.192-204, 2012.