Publications
2023
PPNNBP: A Third Party Privacy-Preserving Neural Network With Back-Propagation Learning
Almutairi, N., Coenen, F., & Dures, K. (2023). PPNNBP: A Third Party Privacy-Preserving Neural Network With Back-Propagation Learning. IEEE ACCESS, 11, 31657-31675. doi:10.1109/ACCESS.2023.3263114
2021
Motif-based Classification using Enhanced Sub-Sequence-Based Dynamic Time Warping
Alshehri, M., Coenen, F., & Dures, K. (2021). Motif-based Classification using Enhanced Sub-Sequence-Based Dynamic Time Warping. In PROCEEDINGS OF THE 10TH INTERNATIONAL CONFERENCE ON DATA SCIENCE, TECHNOLOGY AND APPLICATIONS (DATA) (pp. 184-191). doi:10.5220/0010519301840191
2020
Candidates Reduction and Enhanced Sub-Sequence-Based Dynamic Time Warping: A Hybrid Approach
Alshehri, M., Coenen, F., & Dures, K. (2020). Candidates Reduction and Enhanced Sub-Sequence-Based Dynamic Time Warping: A Hybrid Approach. In Unknown Conference (pp. 273-285). Springer International Publishing. doi:10.1007/978-3-030-63799-6_21
Secure Third Party Data Clustering Using SecureCL, Φ-Data and Multi-User Order Preserving Encryption
Coenen, F., & Nawal, A. (2020). Secure Third Party Data Clustering Using SecureCL, Φ-Data and Multi-User Order Preserving Encryption. Expert Systems.
Secure Outsourced kNN Data Classification over Encrypted Data Using Secure Chain Distance Matrices
Almutairi, N., Coenen, F., & Dures, K. (2020). Secure Outsourced kNN Data Classification over Encrypted Data Using Secure Chain Distance Matrices. In Unknown Conference (pp. 3-24). Springer International Publishing. doi:10.1007/978-3-030-49559-6_1
2019
Effective Sub-Sequence-Based Dynamic Time Warping
Coenen, F. P., Dures, K., & Alshehri, M. (2019). Effective Sub-Sequence-Based Dynamic Time Warping. In SGAI 2019: Artificial Intelligence XXXVI (pp. 293).
A Cryptographic Ensemble for Secure Third Party Data Analysis: Collaborative Data Clustering Without Data Owner Participation
Almutairi, S. T., Coenen, F. P., & Dures, K. (2019). A Cryptographic Ensemble for Secure Third Party Data Analysis: Collaborative Data Clustering Without Data Owner Participation. Knowledge and Data Engineering. doi:10.1016/j.datak.2019.101734
Sub-Sequence-Based Dynamic Time Warping
Alshehri, M., Coenen, F., & Dures, K. (2019). Sub-Sequence-Based Dynamic Time Warping. In KDIR: PROCEEDINGS OF THE 11TH INTERNATIONAL JOINT CONFERENCE ON KNOWLEDGE DISCOVERY, KNOWLEDGE ENGINEERING AND KNOWLEDGE MANAGEMENT - VOL 1: KDIR (pp. 274-281). doi:10.5220/0008053402740281
2018
Secure Third Party Data Clustering Using Φ Data: Multi-User Order Preserving Encryption and Super Secure Chain Distance Matrices
Coenen, F. P., Almutairi, N., & Dures, K. (2018). Secure Third Party Data Clustering Using Φ Data: Multi-User Order Preserving Encryption and Super Secure Chain Distance Matrices. In Springer. Cambridge: Springer Nature.
Data Clustering using Homomorphic Encryption and Secure Chain Distance Matrices
Almutairi, N., Coenen, F., & Dures, K. (2018). Data Clustering using Homomorphic Encryption and Secure Chain Distance Matrices. In Proceedings of the 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (pp. 41-50). SCITEPRESS - Science and Technology Publications. doi:10.5220/0006890800410050
Data Clustering using Homomorphic Encryption and Secure Chain Distance Matrices.
Almutairi, N., Coenen, F., & Dures, K. (2018). Data Clustering using Homomorphic Encryption and Secure Chain Distance Matrices.. In A. L. N. Fred, & J. Filipe (Eds.), KDIR (pp. 39-48). SciTePress. Retrieved from http://www.informatik.uni-trier.de/~ley/db/conf/ic3k/kdir2018.html
Third Party Data Clustering Over Encrypted Data Without Data Owner Participation: Introducing the Encrypted Distance Matrix
Almutairi, N., Coenen, F., & Dures, K. (2018). Third Party Data Clustering Over Encrypted Data Without Data Owner Participation: Introducing the Encrypted Distance Matrix. In BIG DATA ANALYTICS AND KNOWLEDGE DISCOVERY (DAWAK 2018) Vol. 11031 (pp. 163-173). doi:10.1007/978-3-319-98539-8_13
2017
K-Means Clustering Using Homomorphic Encryption and an Updatable Distance Matrix: Secure Third Party Data Clustering with Limited Data Owner Interaction
Coenen, F. P., Almutairi., & Dures, K. (2017). K-Means Clustering Using Homomorphic Encryption and an Updatable Distance Matrix: Secure Third Party Data Clustering with Limited Data Owner Interaction. In 19th International Conference on Big Data Analytics and Knowledge Discovery. Lyon, France.
A Directed Acyclic Graph (DAG) Ensemble Classification Model: An Alternative Architecture for Hierarchical Classification
Alshdaifat, E., Coenen, F., & Dures, K. (2017). A Directed Acyclic Graph (DAG) Ensemble Classification Model: An Alternative Architecture for Hierarchical Classification. INTERNATIONAL JOURNAL OF DATA WAREHOUSING AND MINING, 13(3), 73-90. doi:10.4018/IJDWM.2017070104
2015
A Directed Acyclic Graph Based Approach to Multi-Class Ensemble Classification
Alshdaifat, E., Coenen, F., & Dures, K. (2015). A Directed Acyclic Graph Based Approach to Multi-Class Ensemble Classification. In Unknown Conference (pp. 43-57). Springer International Publishing. doi:10.1007/978-3-319-25032-8_3
2014
A Multi-Path Strategy for Hierarchical Ensemble Classification
Alshdaifat, E., Coenen, F., & Dures, K. (2014). A Multi-Path Strategy for Hierarchical Ensemble Classification. In MLDM'14 (pp. 12 pages). St Petersburg: Springer.
A Multi-path Strategy for Hierarchical Ensemble Classification
Alshdaifat, E., Coenen, F., & Dures, K. (2014). A Multi-path Strategy for Hierarchical Ensemble Classification. In MACHINE LEARNING AND DATA MINING IN PATTERN RECOGNITION, MLDM 2014 Vol. 8556 (pp. 198-212). Retrieved from https://www.webofscience.com/
2013
Hierarchical Classification for Solving Multi-class Problems: A New Approach Using Naive Bayesian Classification
Alshdaifat, E., Coenen, F., & Dures, K. (2013). Hierarchical Classification for Solving Multi-class Problems: A New Approach Using Naive Bayesian Classification. In Unknown Conference (pp. 493-504). Springer Berlin Heidelberg. doi:10.1007/978-3-642-53914-5_42
Hierarchical Classification for Solving Multi-class Problems: A New Approach Using Naive Bayesian Classification
Alshdaifat, E., Coenen, F., & Dures, K. (2013). Hierarchical Classification for Solving Multi-class Problems: A New Approach Using Naive Bayesian Classification. In ADMA'13 (pp. TBA). Hangzhou, China: Springer.
Hierarchical Single Label Classification: An Alternative Approach
Alshdaifat, E., Coenen, F., & Dures, K. (2013). Hierarchical Single Label Classification: An Alternative Approach. In AI-2013 (pp. 14). Cambridge: BCS.
Hierarchical Single Label classification: An Alternative Approach
Alshdaifat, E., Coenen, F., & Dures, K. (2013). Hierarchical Single Label classification: An Alternative Approach. In BCS-SGAI AI'2013 (pp. TBA). Cambridge, UK: Springer.
2011
'Data Mining For Dropout Prediction'
Dures, K. (2011). 'Data Mining For Dropout Prediction'. In UoL/Laureate International Faculty Conference (pp. 3). Liverpool: Laureate.
2008
'E-Systems and the Applied Use of Cooperative MultiAgent Decision Analysis Tools in On-line Auctioneering and Bargaining'
Dures, K. (2008). 'E-Systems and the Applied Use of Cooperative MultiAgent Decision Analysis Tools in On-line Auctioneering and Bargaining'.
'Suggesting Inference Informed Knowledge Models Using Ontologies Applied in the Semantic Web to Support On-Llne Trasactions'
Dures, K. (2008). 'Suggesting Inference Informed Knowledge Models Using Ontologies Applied in the Semantic Web to Support On-Llne Trasactions'.
2007
'Biometric Identification Processes in Respect of Currently Perceived Criteria'
Riley, C., & Dures, K. (2007). 'Biometric Identification Processes in Respect of Currently Perceived Criteria'.
'From HCI to Situated Technological Interaction'
Bonar-Law, J., & Dures, K. (2007). 'From HCI to Situated Technological Interaction'.
'The Application of Nielsen's Usability Heuristics in the Evaluation of Non-Immersive Desktop 3-D User Interfaces
Labeque, E., & Dures, K. (2007). 'The Application of Nielsen's Usability Heuristics in the Evaluation of Non-Immersive Desktop 3-D User Interfaces.
'The Application of Pair Programming in Dynamic Systems Development Method'
Shafiq, M., & Dures, K. (2007). 'The Application of Pair Programming in Dynamic Systems Development Method'.
2006
'Quality Aspects in Virtual Learning Environments'
Lau, E., Donert, K., & Dures, K. (2006). 'Quality Aspects in Virtual Learning Environments'.