Ilkcan Keles
Ilkcan Keles
Aalborg University, Computer Science
Verifierad e-postadress på cs.aau.dk - Startsida
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Predicting the Location and Time of Mobile Phone Users by Using Sequential Pattern Mining Techniques
M Ozer, I Keles, H Toroslu, P Karagoz, H Davulcu
The Computer Journal 59 (6), 908-922, 2016
172016
Location prediction of mobile phone users using apriori-based sequence mining with multiple support thresholds
I Keles, M Ozer, IH Toroslu, P Karagoz
International Workshop on New Frontiers in Mining Complex Patterns, 179-193, 2014
132014
Predicting the next location change and time of change for mobile phone users
M Ozer, I Keles, İH Toroslu, P Karagoz, S Ergut
Proceedings of the Third ACM SIGSPATIAL International Workshop on Mobile …, 2014
112014
Predicting the change of location of mobile phone users
M Ozer, I Keles, IH Toroslu, P Karagoz
Proceedings of the Second ACM SIGSPATIAL International Workshop on Mobile …, 2013
92013
Synthesis of partial rankings of points of interest using crowdsourcing
I Keles, S Saltenis, CS Jensen
Proceedings of the 9th Workshop on Geographic Information Retrieval, 1-10, 2015
82015
Skyline Queries over Knowledge Graphs
I Keles, K Hose
International Semantic Web Conference, 293-310, 2019
62019
Analysis of the effect of query shapes on performance over LDF interfaces
G Montoya, I Keles, K Hose
3rd Workshop on Querying and Benchmarking the Web of Data, 51-66, 2019
22019
Crowdsourcing based evaluation of ranking approaches for spatial keyword querying
J Chen, H Lu, I Keles, CS Jensen
2017 18th IEEE International Conference on Mobile Data Management (MDM), 62-71, 2017
22017
Extracting visited points of interest from vehicle trajectories
I Keles, M Schubert, P Kröger, S Šaltenis, CS Jensen
Proceedings of the Fourth International ACM Workshop on Managing and Mining …, 2017
22017
WiseKG: Balanced Access to Web Knowledge Graphs
A Azzam, C Aebeloe, G Montoya, I Keles, A Polleres, K Hose
WWW, 2021
12021
Star Pattern Fragments: Accessing Knowledge Graphs through Star Patterns
C Aebeloe, I Keles, G Montoya, K Hose
arXiv preprint arXiv:2002.09172, 2020
12020
Extracting Rankings for Spatial Keyword Queries from GPS Data
I Keles, CS Jensen, S Saltenis
LBS 2018: 14th International Conference on Location Based Services, 173-194, 2018
12018
Density-Based Top-K Spatial Textual Clusters Retrieval
D Wu, I Keles, S Wu, H Zhou, S Saltenis, CS Jensen, K Lu
IEEE Transactions on Knowledge and Data Engineering, 2021
2021
Querying Linked Data: An Experimental Evaluation of State-of-the-Art Interfaces
G Montoya, I Keles, K Hose
arXiv preprint arXiv:1912.08010, 2019
2019
Linked Open Data Validity--A Technical Report from ISWS 2018
M Alam, TA Ghorfi, E Agrawal, O Alqawasmeh, A Annane, C d'Amato, ...
2019
Linked Open Data Validity--A Technical Report from ISWS 2018
TA Ghor, E Agrawal, M Alam, O Alqawasmeh, C D'amato, A Annane, ...
arXiv preprint arXiv:1903.12554, 2019
2019
Linked Open Data Validity--A Technical Report from ISWS 2018
T Abderrahmani Ghor, E Agrawal, M Alam, O Alqawasmeh, C D'amato, ...
arXiv e-prints, arXiv: 1903.12554, 2019
2019
A Proposal for a Two-Way Journey on Validating Locations in Unstructured and Structured Data
I Keles, O Qawasmeh, T Tietz, L Marinucci, R Reda, M van Erp
2nd Conference on Language, Data and Knowledge (LDK 2019), 2019
2019
Spatial Keyword Querying: Ranking Evaluation and Efficient Query Processing
I Keles
Aalborg Universitetsforlag, 2018
2018
CrowdRankEval: A Ranking Function Evaluation Framework for Spatial Keyword Queries
I Keles, CS Jensen
2016 17th IEEE International Conference on Mobile Data Management (MDM) 1 …, 2016
2016
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Artiklar 1–20