Authors: Dewan, Umama, Ahmed, Chowdhury Farhan, Leung, Carson K., Rizvee, Redwan Ahmed, Deng, Deyu, Souza, Joglas
Subject Terms: Data mining, Knowledge discovery, Weighted frequent pattern mining, Dynamic weights
File Description: application/pdf
Relation: Dewan, U., Ahmed, C.F., Leung, C.K., Rizvee, R.A., Deng, D., Souza, J.: An efficient approach for mining weighted frequent patterns with dynamic weights. In: ICDM 2019, pp. 13-27 (2019); http://hdl.handle.net/1993/34565
Availability: http://hdl.handle.net/1993/34565
Authors: Leung, Carson K., Braun, Peter, Cuzzocrea, Alfredo
Subject Terms: sensor, information fusion, sensor fusion, artificial intelligence (AI), deep learning, supervised learning, data mining, transportation, geographic information system (GIS), global navigation satellite system (GNSS), global positioning system (GPS)
File Description: application/pdf
Relation: Leung, C.K.; Braun, P.; Cuzzocrea, A. AI-based sensor information fusion for supporting deep supervised learning. Sensors 2019, 19, 1345.; http://hdl.handle.net/1993/34563; https://doi.org/10.3390/s19061345
Authors: Connor, Hryhoruk
Contributors: Lix, Lisa (Community Health Sciences), Wang, Shaowei (Computer Science), Leung, Carson K
Subject Terms: rare pattern mining, data mining, core pattern, approximate, ARI-growth, support lenience, noise, association rules
File Description: application/pdf
Relation: http://hdl.handle.net/1993/37620
Availability: http://hdl.handle.net/1993/37620
Authors: Leung, Carson, Kanke, Felix, Cuzzocrea, Alfredo
Subject Terms: data science, data mining, Go, joseki, board game, game mining, prefix tree, pruning
File Description: application/pdf
Relation: C.K. Leung, F. Kanke, A. Cuzzocrea. Data analytics on the board game Go for the discovery of interesting sequences of moves in joseki. Procedia Computer Science, 126 (2018), pp. 831-840; http://hdl.handle.net/1993/33658; http://dx.doi.org/10.1016/j.procs.2018.08.017
Subject Terms: big data, data analytics, data mining, data science, frequent patterns, imprecise data, uncertain data, knowledge discovery in databases, uncertainty, vertical mining
File Description: application/pdf
Relation: P. Braun, A. Cuzzocrea, C.K. Leung, A.G.M. Pazdor, J. Souza. Item-centric mining of frequent patterns from big uncertain data. Procedia Computer Science, 126 (2018), pp. 1875-1884; http://hdl.handle.net/1993/33659; http://dx.doi.org/10.1016/j.procs.2018.08.075
Authors: Braun, Peter, Cuzzocrea, Alfredo, Doan, Lam M.V., Kim, Suyoung, Leung, Carson K., Matundan, Jose Francisco A., Singh, Rashpal Robby
Subject Terms: data mining, outlier detection, anomaly detection, YouTube, video viewing history, trends, prediction, applications, knowledge engineering, large-scale systems
File Description: application/pdf
Relation: P. Braun, A. Cuzzocrea, L.M.V. Doan, S. Kim, C.K. Leung, J.F.A. Matundan, R.R. Singh. Enhanced prediction of user-preferred YouTube videos based on cleaned viewing pattern history. Procedia Computer Science, 112 (2017), pp. 2230-2239; http://hdl.handle.net/1993/32868; http://dx.doi.org/10.1016/j.procs.2017.08.129
Authors: Braun, Peter, Cuzzocrea, Alfredo, Keding, Timothy D., Leung, Carson K., Padzor, Adam G.M., Sayson, Dell
Subject Terms: data mining, clustering, visual analytics, cluster visualization, cyber-physical world, online game, applications, innovative artificial intelligence technologies
File Description: application/pdf
Relation: P. Braun, A. Cuzzocrea, T.D. Keding, C.K. Leung, A.G.M. Padzor, D. Sayson. Game data mining: clustering and visualization of online game data in cyber-physical worlds. Procedia Computer Science, 112 (2017), pp. 2259-2268; http://hdl.handle.net/1993/32866; http://dx.doi.org/10.1016/j.procs.2017.08.141
Authors: Li, Borui
Contributors: Leung, Carson K., Li, Ben (Computer Science), Muthukumarana, Saman (Statistics)
Subject Terms: data mining, VTuber, spam detection, data stream, live chat, data science, social network analysis
File Description: application/pdf
Relation: http://hdl.handle.net/1993/36956
Availability: http://hdl.handle.net/1993/36956
Authors: Shi, Yanlin
Contributors: Peng, Qingjin, Liang, Xihui (Mechanical Engineering), Thulasiram, Ruppa (Computer Science), Xue, Deyi (Mechanical and Manufacturing Engineering, University of Calgary)
Subject Terms: customer requirements, function requirements, product structures, big data, data mining
File Description: application/pdf
Relation: http://hdl.handle.net/1993/36367
Availability: http://hdl.handle.net/1993/36367
Authors: Buhr, Phiona
Contributors: Shafai, Cyrus, Jeffrey, Ian (Electrical and Computer Engineering), Ferens, Ken (Electrical and Computer Engineering)
Subject Terms: Precision beekeeping, Precision agriculture, Data mining
File Description: application/pdf
Relation: http://hdl.handle.net/1993/36757
Availability: http://hdl.handle.net/1993/36757
Authors: Mai, Jiaxing
Contributors: Leung, Carson K., Muthukumarana, Saman (Statistics), Wang, Shaowei (Computer Science)
Subject Terms: Data mining, Pattern mining, Data streams, High utility mining
File Description: application/pdf
Relation: http://hdl.handle.net/1993/36919
Availability: http://hdl.handle.net/1993/36919
Authors: Leung, Carson K., Joseph, Kyle W.
Subject Terms: American football, college football, data mining, knowledge-based and intelligent information & engineering systems, intelligent systems applications, prediction, sports data mining
File Description: application/pdf
Relation: C.K. Leung, K.W. Joseph. Sports data mining: predicting results for the college football games. Procedia Computer Science, 35 (2014), pp. 710-719.; http://hdl.handle.net/1993/32125; http://dx.doi.org/10.1016/j.procs.2014.08.153
Subject Terms: knowledge discovery and data mining, big data, big data management, big data analysis, graph data, data and knowledge representation, knowledge technologies
File Description: application/pdf
Relation: P. Braun, A. Cuzzocrea, C.K. Leung, A.G.M. Pazdor, K. Tran. Knowledge discovery from social graph data. Procedia Computer Science, 96 (2016), pp. 682-691; http://hdl.handle.net/1993/31948; http://dx.doi.org/10.1016/j.procs.2016.08.250
Authors: Deng, Deyu
Contributors: Leung, Carson K. (Computer Science), Domaratzki, Mike (Computer Science), Wang, Xikui (Warren Centre for Actuarial Studies and Research)
Subject Terms: Data mining, Transportation data mining, Data science, Business analytics, Predictive analytics, Dynamic pricing
File Description: application/pdf
Relation: http://hdl.handle.net/1993/36117
Availability: http://hdl.handle.net/1993/36117
Authors: Cuzzocrea, Alfredo, Jiang, Fan, Leung, Carson K.
Subject Terms: data mining, frequent patterns, graph structured data, linked data, extending database technology, database theory
File Description: application/pdf
Relation: CEUR Workshop Proceedings (ISSN 1613-0073);Vol. 1330; A. Cuzzocrea, F. Jiang, & C.K. Leung. Frequent subgraph mining from streams of linked graph structured data. In Proc. EDBT/ICDT Workshops 2015, pp. 237-244.; http://ceur-ws.org/Vol-1330/paper-37.pdf; http://hdl.handle.net/1993/31152
Subject Terms: knowledge discovery and data mining, expected support, frequent patterns, uncertain data, upper bounds
File Description: application/pdf
Relation: A. Cuzzocrea, C.K. Leung, R.K. MacKinnon. Approximation to expected support of frequent itemsets in mining probabilistic sets of uncertain data. Procedia Computer Science, 60 (2015), pp. 613-622; http://hdl.handle.net/1993/31150; http://dx.doi.org/10.1016/j.procs.2015.08.195
Authors: Cuzzocrea, Alfredo, Han, Zhao, Jiang, Fan, Leung, Carson K., Zhang, Hao
Subject Terms: knowledge discovery and data mining, frequent patterns, frequent subgraphs, graph structured data, data streams
File Description: application/pdf
Relation: A. Cuzzocrea, Z. Han, F. Jiang, C.K. Leung, H. Zhang. Edge-based mining of frequent subgraphs from graph streams. Procedia Computer Science, 60 (2015), pp. 573-582.; http://hdl.handle.net/1993/31149; http://dx.doi.org/10.1016/j.procs.2015.08.184
Subject Terms: data mining, frequent pattern mining, graph streams, knowledge-based and intelligent information & engineering systems, knowledge discovery, limited memory, stream mining
File Description: application/pdf
Relation: P. Braun, J.J. Cameron, A. Cuzzocrea, F. Jiang, C.K. Leung. Effectively and efficiently mining frequent patterns from dense graph streams on disk. Procedia Computer Science, 35 (2014), pp. 338-347.; http://hdl.handle.net/1993/32124; http://dx.doi.org/10.1016/j.procs.2014.08.114
Authors: Cuzzocrea, Alfredo, Leung, Carson K., Tanbeer, Syed K.
Subject Terms: data mining, friendship patterns, diverse friends, linked data, social networks, extending database technology, database theory
File Description: application/pdf
Relation: CEUR Workshop Proceedings (ISSN 1613-0073);Vol. 1133; A. Cuzzocrea, C.K. Leung, & S.K. Tanbeer. Mining of diverse social entities from linked data. In Proc. EDBT/ICDT Workshops 2014, pp. 269-274.; http://ceur-ws.org/Vol-1133/paper-43.pdf; http://hdl.handle.net/1993/32127
Subject Terms: data mining, data structure, expected support, frequent pattern mining, knowledge discovery, tree-based mining, uncertain data
File Description: application/pdf
Relation: C.K. Leung, R.K. MacKinnon, S.K. Tanbeer. Tightening upper bounds to the expected support for uncertain frequent pattern mining. Procedia Computer Science, 35 (2014), pp. 328-337.; http://hdl.handle.net/1993/32122; http://dx.doi.org/10.1016/j.procs.2014.08.113