A novel approach based on genetic algorithm to speed up the discovery of classification rules on GPUs

Article

Roui, Mohammad Beheshti, Zomorodi, Mariam, Sarvelayati, Masoomeh, Abdar, Moloud, Noori, Hamid, Plawiak, Pawel, Tadeusiewicz, Ryszard, Zhou, Xujuan, Khosravi, Abbas, Nahavandi, Saeid and Acharya, U. Rajendra. 2021. "A novel approach based on genetic algorithm to speed up the discovery of classification rules on GPUs." Knowledge-Based Systems. 231. https://doi.org/10.1016/j.knosys.2021.107419
Article Title

A novel approach based on genetic algorithm to speed up the discovery of classification rules on GPUs

ERA Journal ID18062
Article CategoryArticle
AuthorsRoui, Mohammad Beheshti (Author), Zomorodi, Mariam (Author), Sarvelayati, Masoomeh (Author), Abdar, Moloud (Author), Noori, Hamid (Author), Plawiak, Pawel (Author), Tadeusiewicz, Ryszard (Author), Zhou, Xujuan (Author), Khosravi, Abbas (Author), Nahavandi, Saeid (Author) and Acharya, U. Rajendra (Author)
Journal TitleKnowledge-Based Systems
Journal Citation231
Article Number107419
Number of Pages17
Year2021
PublisherElsevier
Place of PublicationNetherlands
ISSN0950-7051
1872-7409
Digital Object Identifier (DOI)https://doi.org/10.1016/j.knosys.2021.107419
Web Address (URL)https://www.sciencedirect.com/science/article/pii/S095070512100681X
Abstract

This paper proposes a new approach to produce classification rules based on evolutionary computation with novel crossover and mutation operators customized for execution on graphics processing unit (GPU). Also, a novel method is presented to define the fitness function, i.e. the function which measures quantitatively the accuracy of the rule. The proposed fitness function is benefited from parallelism due to the parallel execution of data instances. To this end, two novel concepts; coverage matrix and reduction vectors are used and an altered form of the reduction vector is compared with previous works. Our CUDA program performs operations on coverage matrix and reduction vector in parallel. Also these data structures are used for evaluation of fitness function and calculation of genetic operators in parallel. We proposed a vector called average coverage to handle crossover and mutation properly. Our proposed method obtained a maximum accuracy of 99.74% for Hepatitis C Virus (HCV) dataset, 95.73% for Poker dataset, and 100% for COVID-19 dataset. Our speedup is higher than 20% for HCV and COVID-19, and 50% for Poker, compared to using single core processors.

Keywordsdata mining; machine learning; rule discovery; genetic algorithm; GPU programming; classification rules
ANZSRC Field of Research 2020461199. Machine learning not elsewhere classified
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Institution of OriginUniversity of Southern Queensland
Byline AffiliationsFerdowsi University of Mashhad, Iran
Deakin University
Cracow University of Technology, Poland
AGH University of Science and Technology, Poland
School of Business
Ngee Ann Polytechnic, Singapore
Asia University, Taiwan
Singapore University of Social Sciences (SUSS), Singapore
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Automated accurate emotion classification using Clefia pattern-based features with EEG signals
Dogan, Abdullah, Barua, Prabal Datta, Baygin, Mehmet, Tuncer, Turker, Dogan, Sengul, Yaman, Orhan, Dogru, Ali Hikmet and Acharya, Rajendra U.. 2022. "Automated accurate emotion classification using Clefia pattern-based features with EEG signals." International Journal of Healthcare Management. https://doi.org/10.1080/20479700.2022.2141694
Artificial Intelligence Enabled Personalised Assistive Tools to Enhance Education of Children with Neurodevelopmental Disorders—A Review
Barua, Prabal Datta, Jahmunah, Jahmunah, Gururajan, Raj, Oh, Shu Lih, Palmer, Elizabeth, Azizan, Muhammad Mokhzaini, Kadri, Nahrizul Adib and Acharya, U. Rajendra. 2022. "Artificial Intelligence Enabled Personalised Assistive Tools to Enhance Education of Children with Neurodevelopmental Disorders—A Review ." International Journal of Environmental Research and Public Health. 19 (3). https://doi.org/10.3390/ijerph19031192
Artificial intelligence assisted tools for the detection of anxiety and depression leading to suicidal ideation in adolescents: a review
Barua, Prabal Datta, Jahmunah, Jahmunah, Oh, Oh Shu, Palmer, Elizabeth Emma, Yamakawa, Toshitaka, Kobayashi, Makiko and Acharya, Udyavara Rajendra. 2022. "Artificial intelligence assisted tools for the detection of anxiety and depression leading to suicidal ideation in adolescents: a review." Cognitive Neurodynamics. https://doi.org/10.1007/s11571-022-09904-0
Hybrid Deep Feature Generation for Appropriate Face Mask Use Detection
Aydemir, Emrah, Yalcinkaya, Mehmet Ali, Barua, Prabal Datta, Baygin, Mehmet, Faust, Oliver, Dogan, Sengul, Chakraborty, Subrata, Tuncer, Turker and Acharya, Rajendra. 2022. "Hybrid Deep Feature Generation for Appropriate Face Mask Use Detection." International Journal of Environmental Research and Public Health. 19 (4). https://doi.org/10.3390/ijerph19041939
Mental performance classification using fused multilevel feature generation with EEG signals
Aydemir, Emrah, Baygin, Mehmet, Dogan, Sengul, Tuncer, Turker, Barua, Prabal Datta, Chakraborty, Subrata, Faust, Oliver, Arunkumar, N., Kaysi, Feyzi and Acharya, U. Rajendra. 2022. "Mental performance classification using fused multilevel feature generation with EEG signals." International Journal of Healthcare Management. https://doi.org/10.1080/20479700.2022.2130645
Fusion of B-mode and shear wave elastography ultrasound features for automated detection of axillary lymph node metastasis in breast carcinoma
Pham, The-Hanh, Faust, Oliver, Koh, Joel En Wei, Ciaccio, Edward J., Barua, Prabal D., Omar, Norlia, Ng, Wei Lin, Mumin, Nazimah Ab, Rahmat, Kartini and Acharya, U. Rajendra. 2022. "Fusion of B-mode and shear wave elastography ultrasound features for automated detection of axillary lymph node metastasis in breast carcinoma." Expert Systems: the journal of knowledge engineering. 39 (5), pp. 1-19. https://doi.org/10.1111/exsy.12947
An Accurate Multiple Sclerosis Detection Model Based on Exemplar Multiple Parameters Local Phase Quantization: ExMPLPQ
Macin, Gulay, Tasci, Burak, Tasci, Irem, Faust, Oliver, Barua, Prabal Datta, Dogan, Sengul, Tuncer, Turker, Tan, Ru-San and Acharya, U. Rajendra. 2022. "An Accurate Multiple Sclerosis Detection Model Based on Exemplar Multiple Parameters Local Phase Quantization: ExMPLPQ." Applied Sciences. 12 (10). https://doi.org/10.3390/app12104920
TMP19: A Novel Ternary Motif Pattern-Based ADHD Detection Model Using EEG Signals
Barua, Prabal Datta, Dogan, Sengul, Baygin, Mehmet, Tuncer, Turker, Palmer, Elizabeth Emma, Ciaccio, Edward J. and Acharya, U. Rajendra. 2022. "TMP19: A Novel Ternary Motif Pattern-Based ADHD Detection Model Using EEG Signals." Diagnostics. 12 (10). https://doi.org/10.3390/diagnostics12102544
Development and Validation of a Dynamic Tool to Predict Aggressive Patient Behaviours in Hospital Settings: Artificial Intelligence-Based Approaches
Gururajan, R, Kondalsamy-Chennakesavan, S, Zhou, X. and Boon, K. 2022. "Development and Validation of a Dynamic Tool to Predict Aggressive Patient Behaviours in Hospital Settings: Artificial Intelligence-Based Approaches." Royal Australian College of Physicians (RACP) Congress 2022. Sydney, Australia 15 - 19 May 2022 SAGE Publications Ltd.
Integration of blockchains with management information systems
Chan, Ka Ching, Zhou, Xujuan, Gururajan, Raj, Zhou, Xiong, Ally, Mustafa and Gardiner, Michael. 2020. "Integration of blockchains with management information systems." Tamba, Tua A. (ed.) 2019 International Conference on Mechatronics, Robotics and Systems Engineering (MoRSE 2019). Bali, Indonesia 04 - 06 Dec 2019 https://doi.org/10.1109/MoRSE48060.2019.8998694
Twitter analysis for depression on social networks based on sentiment and stress
Tao, Xiaohui, Dharmalingam, Ravi, Zhang, Ji, Zhou, Xujuan, Li, Lin and Gururajan, Raj. 2019. "Twitter analysis for depression on social networks based on sentiment and stress." 6th International Conference on Behavioral, Economic, and Socio-Cultural Computing (BESC 2019). Beijing, China 28 - 30 Oct 2019 United States. https://doi.org/10.1109/BESC48373.2019.8963550
MeKG: building a medical knowledge graph by data mining from MEDLINE
Pham, Thuan, Tao, Xiaohui, Zhang, Ji, Yong, Jianming, Zhou, Xujuan and Gururajan, Raj. 2019. "MeKG: building a medical knowledge graph by data mining from MEDLINE." Liang, Peipeng, Goel, Vinod and Shan, Chunlei (ed.) 12th International Conference on Brain Informatics (BI 2019). Haikou, China 13 - 15 Dec 2019 Switzerland. Springer. https://doi.org/10.1007/978-3-030-37078-7_16
A Case Study of Predicting Banking Customers Behaviour by Using Data Mining
Zhou, Xujuan, Bargshady, Ghazal, Abdar, Moloud, Tao, Xiaohui, Gururajan, Raj and Chan, K. C.. 2019. "A Case Study of Predicting Banking Customers Behaviour by Using Data Mining." 6th International Conference on Behavioral, Economic, and Socio-Cultural Computing (BESC 2019). Beijing, China 28 - 30 Oct 2019 United States. https://doi.org/10.1109/BESC48373.2019.8963436
Performance improvement of decision trees for diagnosis of coronary artery disease using multi filtering approach
Abdar, Moloud, Nasarian, Elham, Zhou, Xujuan, Bargshady, Ghazal, Wijayaningrum, Vivi Nur and Hussain, Sadiq. 2019. "Performance improvement of decision trees for diagnosis of coronary artery disease using multi filtering approach." 4th IEEE International Conference on Computer and Communication Systems (ICCCS 2019). Singapore 23 - 25 Feb 2019 Singapore. https://doi.org/10.1109/CCOMS.2019.8821633
A set of quality metrics for the evaluation of voice termination services
Chan, Ka C., Zhou, Xujuan, Gururajan, Raj and Barua, Prabal. 2018. "A set of quality metrics for the evaluation of voice termination services." 5th International Conference on Behavioral, Economic, and Socio-Cultural Computing (BESC 2018). Kaohsiung, Taiwan 12 - 14 Nov 2018 Los Alamitos, CA, United States. https://doi.org/10.1109/BESC.2018.00036
Based on the internet plus the safety of agricultural products traceability research
Zhou, Xiong, Zheng, Fang, Chan, Ka C., Zhou, Xujuan, Gururajan, Raj, Wu, Zhangguang and Zhou, Enxing. 2018. "Based on the internet plus the safety of agricultural products traceability research." 5th International Conference on Behavioral, Economic, and Socio-Cultural Computing (BESC 2018). Kaohsiung, Taiwan 12 - 14 Nov 2018 United States. https://doi.org/10.1109/BESC.2018.8697322
An ensemble-based decision tree approach for educational data mining
Abdar, Moloud, Zomorodi-Moghadam, Mariam and Zhou, Xujuan. 2018. "An ensemble-based decision tree approach for educational data mining." 5th International Conference on Behavioral, Economic, and Socio-Cultural Computing (BESC 2018). Kaohsiung, Taiwan 12 - 14 Nov 2018 Los Alamitos, CA, United States. https://doi.org/10.1109/BESC.2018.00033
Application of deep learning models for automated identification of Parkinson’s disease: a review (2011–2021)
Loh, Hui Wen, Hong, Wanrong, Ooi, Chui Ping, Chakraborty, Subrata, Barua, Prabal Datta, Deo, Ravinesh C., Soar, Jeffrey, Palmer, Elizabeth E. and Acharya, U. Rajendra. 2021. "Application of deep learning models for automated identification of Parkinson’s disease: a review (2011–2021)." Sensors. 21, pp. 1-27. https://doi.org/10.3390/s21217034
Application of Quantum Natural Language Processing for Language Translation
Abbaszade, Mina, Salari, Vahid, Mousavi, S. Shahin, Zomorodi, Mariam and Zhou, Xujuan. 2021. "Application of Quantum Natural Language Processing for Language Translation." IEEE Access. 9, pp. 130434-130448. https://doi.org/10.1109/ACCESS.2021.3108768
Remote Patient Monitoring Using Radio Frequency Identification (RFID) Technology and Machine Learning for Early Detection of Suicidal Behaviour in Mental Health Facilities
Tao, Xiaohui, Shaik, Thanveer Basha, Higgins, Niall, Gururajan, Raj and Zhou, Xujuan. 2021. "Remote Patient Monitoring Using Radio Frequency Identification (RFID) Technology and Machine Learning for Early Detection of Suicidal Behaviour in Mental Health Facilities." Sensors. 21 (3), pp. 1-20. https://doi.org/10.3390/s21030776
A survey of privacy solutions using blockchain for recommender systems: current status, classification and open issues
Abduljabbar, Tamara Abdulmunim, Tao, Xiaohui, Zhang, Ji, Zhou, Xujuan, Li, Lin and Cai, Yi. 2021. "A survey of privacy solutions using blockchain for recommender systems: current status, classification and open issues." The Computer Journal. 64 (7), pp. 1104-1129. https://doi.org/10.1093/comjnl/bxab065
Automated major depressive disorder detection using melamine pattern with EEG signals
Aydemir, Emrah, Tuncer, Tucker, Dogan, Sengul, Gururajan, Raj and Acharya, U. Rajendra. 2021. "Automated major depressive disorder detection using melamine pattern with EEG signals." Applied Intelligence. 51, pp. 6449-6466. https://doi.org/10.1007/s10489-021-02426-y
Automated interpretation of biopsy images for the detection of celiac disease using a machine learning approach
Koh, Joel En Wei, de Michele, Simona, Sudarshan, Vidya K., Jahmunah, V., Ciaccio, Edward J., Ooi, Chui Ping, Gururajan, Raj, Gururajan, Rashmi, Oh, Shu Lih, Lewis, Suzanne K., Green, Peter H., Bhagat, Govind and Acharya, U. Rajendra. 2021. "Automated interpretation of biopsy images for the detection of celiac disease using a machine learning approach." Computer Methods and Programs in Biomedicine. 203. https://doi.org/10.1016/j.cmpb.2021.106010
Future IoT tools for COVID-19 contact tracing and prediction: A review of the state-of-the-science
Jahmunah, Vicnesh, Sudarshan, Vidya K., Oh, Shu Lih, Gururajan, Raj, Gururajan, Rashmi, Zhou, Xujuan, Tao, Xiaohui, Faust, Oliver, Ciaccio, Edward J., Ng, Kwan Hoong and Acharya, U. Rajendra. 2021. "Future IoT tools for COVID-19 contact tracing and prediction: A review of the state-of-the-science." International Journal of Imaging Systems and Technology. 31 (2), pp. 455-471. https://doi.org/10.1002/ima.22552
A New Deep Convolutional Neural Network Model for Automated Breast Cancer Detection
Zhou, Xujuan, Li, Yuefeng, Gururajan, Raj, Bargshady, Ghazal, Tao, Xiaohui, Venkataraman, Revathi, Barua, Prabal D. and Kondalsamy-Chennakesavan, Srinivas. 2020. "A New Deep Convolutional Neural Network Model for Automated Breast Cancer Detection." 7th International Conference on Behavioural and Social Computing (BESC 2020). Bournemouth, United Kingdom 05 - 07 Nov 2020 United Kingdom. https://doi.org/10.1109/BESC51023.2020.9348322
The modeling of human facial pain intensity based on Temporal Convolutional Networks trained with video frames in HSV color space
Bargshady, Ghazal, Zhou, Xujuan, Deo, Ravinesh C., Soar, Jeffrey, Whittaker, Frank and Wang, Hua. 2020. "The modeling of human facial pain intensity based on Temporal Convolutional Networks trained with video frames in HSV color space." Applied Soft Computing. 97 (Part A), pp. 1-14. https://doi.org/10.1016/j.asoc.2020.106805
Ensemble neural network approach detecting pain intensity from facial expressions
Bargshady, Ghazal, Zhou, Xujuan, Deo, Ravinesh C., Soar, Jeffrey, Whittaker, Frank and Wang, Hua. 2020. "Ensemble neural network approach detecting pain intensity from facial expressions." Artificial Intelligence in Medicine. 109, pp. 1-12. https://doi.org/10.1016/j.artmed.2020.101954
A survey on text classification and its applications
Zhou, Xujuan, Gururajan, Raj, Li, Yuefeng, Venkataraman, Revathi, Tao, Xiaohui, Bargshady, Ghazala, Barua, Prabal D. and Kondalsamy-Chennakesavan, Srinivas. 2020. "A survey on text classification and its applications." Web Intelligence. 18 (2), pp. 205-216. https://doi.org/10.3233/WEB-200442
From Traceability to Provenance of Agricultural Products through Blockchain
Zhou, Xiong, Zheng, Fang, Zhou, Xujuan, Chan, Ka Ching, Gururajan, Raj, Wu, Zhangguang and Zhou, Enxing. 2020. "From Traceability to Provenance of Agricultural Products through Blockchain." Web Intelligence. 18 (3), pp. 181-189. https://doi.org/10.3233/WEB-200440
Automated prediction of sepsis using temporal convolutional network
Kok, Christopher, Jahmunah, V., Oh, Shu Lih, Zhou, Xujuan, Gururajan, Raj, Tao, Xiaohui, Cheong, Kang Hao, Gururajan, Rashmi, Molinari, Filippo and Acharya, U. Rajendra. 2020. "Automated prediction of sepsis using temporal convolutional network." Computers in Biology and Medicine. 127, pp. 1-10. https://doi.org/10.1016/j.compbiomed.2020.103957
Classification of malignant and benign lung nodule and prediction of image label class using multi-deep model
Zia, Muahammad Bilal, Zhao, Juan Juan, Zhou, Xujuan, Xiao, Ning, Wang, Jiawen and Khan, Ammad. 2020. "Classification of malignant and benign lung nodule and prediction of image label class using multi-deep model." International Journal of Advanced Computer Science and Applications. 11 (3), pp. 35-41.
Association between work-related features and coronary artery disease: a heterogeneous hybrid feature selection integrated with balancing approach
Nasarian, Elham, Abdar, Moloud, Fahami, Mohammad Amin, Alizadehsani, Roohallah, Hussain, Sadiq, Basiri, Mohammad Ehsan, Zomorodi-Moghadam, Mariam, Zhou, Xujuan, Plawiak, Pawel, Acharya, U. Rajendra, Tan, Ru-San and Sarrafzadegan, Nizal. 2020. "Association between work-related features and coronary artery disease: a heterogeneous hybrid feature selection integrated with balancing approach." Pattern Recognition Letters. 133, pp. 33-40. https://doi.org/10.1016/j.patrec.2020.02.010
Enhanced deep learning algorithm development to detect pain intensity from facial expression images
Bargshady, Ghazal, Zhou, Xujuan, Deo, Ravinesh C., Soar, Jeffery, Whittaker, Frank and Wang, Hua. 2020. "Enhanced deep learning algorithm development to detect pain intensity from facial expression images." Expert Systems with Applications. 149, pp. 1-10. https://doi.org/10.1016/j.eswa.2020.113305
A comprehensive analysis of adverb types for mining user sentiments on Amazon product reviews
Chauhan, Ummara Ahmed, Afzal, Muhammad Tanvir, Shahid, Abdul, Abdar, Moloud, Basiri, Mohammad Ehsan and Zhou, Xujuan. 2020. "A comprehensive analysis of adverb types for mining user sentiments on Amazon product reviews." World Wide Web. 23 (3), pp. 1811-1829. https://doi.org/10.1007/s11280-020-00785-z
Improving Sentiment Polarity Detection Through Target Identification
Basiri, Mohammad Ehsan, Abdar, Moloud, Kabiri, Arman, Nemati, Shahla, Zhou, Xujuan, Allahbakhshi, Forough and Yen, Neil Y.. 2020. "Improving Sentiment Polarity Detection Through Target Identification." IEEE Transactions on Computational Social Systems. 7 (1), pp. 113-128. https://doi.org/10.1109/TCSS.2019.2951326
Hybrid particle swarm optimization for rule discovery in the diagnosis of coronary artery disease
Zomorodi-Moghadam, Mariam, Abdar, Moloud, Davarzani, Zohreh, Zhou, Xujuan, Pławiak, Pawel and Acharya, U. Rajendra. 2021. "Hybrid particle swarm optimization for rule discovery in the diagnosis of coronary artery disease." Expert Systems: the journal of knowledge engineering. 38 (1), pp. 1-17. https://doi.org/10.1111/exsy.12485
Insights into relevant knowledge extraction techniques: a comprehensive review
Shahid, Abdul, Afzal, Muhammad Tanvir, Abdar, Moloud, Basiri, Mohammad Ehsan, Zhou, Xujuan, Yen, Neil Y. and Chang, Jia‑Wei. 2020. "Insights into relevant knowledge extraction techniques: a comprehensive review." Journal of Supercomputing. 76 (3), pp. 1695-1733. https://doi.org/10.1007/s11227-019-03009-y
Simulation study on passive buildings’ demand incentive based on evolutionary game
Liu, Kai, Zhou, Hongmin, Kou, Yuanyuan, Zhang, Jiabao, Zhou, Xujuan and Zhang, Xiantang. 2019. "Simulation study on passive buildings’ demand incentive based on evolutionary game." Journal of Intelligent and Fuzzy Systems. 37, pp. 3163-3174. https://doi.org/10.3233/JIFS-179118
Deep learning model for detection of pain intensity from facial expression
Soar, Jeffrey, Bargshady, Ghazal, Zhou, Xujuan and Whittaker, Frank. 2018. "Deep learning model for detection of pain intensity from facial expression." Mokhtari, Mounir, Abdulrazak, Bessam and Aloulou, Hamdi (ed.) 16th International Conference on Smart Homes and Health Telematics: Designing a Better Future: Urban Assisted Living (ICOST 2018). Singapore 10 - 12 Jul 2018 Cham, Switzerland. https://doi.org/10.1007/978-3-319-94523-1_22
A novel framework for distress detection through an automated speech processing system
Rana, Rajib, Gururajan, Raj, Mackenzie, Geraldine, Dunn, Jeff, Gray, Anthony, Zhou, Xujuan, Barua, Prabal Datta, Epps, Julien and Humphris, Gerald Michael. 2018. "A novel framework for distress detection through an automated speech processing system." 2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2018). Santiago, Chile 03 - 06 Dec 2018 Los Alamitos, CA, United States. https://doi.org/10.1109/WI.2018.00-29
Determination of factors influencing student engagement using a learning management system in a tertiary setting
Barua, Prabal Datta, Zhou, Xujuan, Gururajan, Raj and Chan, Ka C.. 2018. "Determination of factors influencing student engagement using a learning management system in a tertiary setting." 2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2018). Santiago, Chile 03 - 06 Dec 2018 Los Alamitos, CA, United States. https://doi.org/10.1109/WI.2018.00-30
A new nested ensemble technique for automated diagnosis of breast cancer
Abdar, Moloud, Zomorodi-Moghadam, Mariam, Zhou, Xujuan, Gururajan, Raj, Tao, Xiaohui, Barua, Prabal D. and Gururajan, Rashmi. 2020. "A new nested ensemble technique for automated diagnosis of breast cancer." Pattern Recognition Letters. https://doi.org/10.1016/j.patrec.2018.11.004
A joint deep neural network model for pain recognition from face
Bargshady, Ghazal, Soar, Jeffrey, Zhou, Xujuan, Deo, Ravinesh, Whittaker, Frank and Wang, Hua. 2019. "A joint deep neural network model for pain recognition from face." 4th IEEE International Conference on Computer and Communication Systems (ICCCS 2019). Singapore 23 - 25 Feb 2019 Singapore. pp. 52-56 https://doi.org/10.1109/CCOMS.2019.8821779
Factors impacting employee engagement on enterprise social media
Sankaran, Prema, Bheeman, Sankaran, Priya, K. Hari, Zhou, Xujuan and Gururajan, Raj. 2017. "Factors impacting employee engagement on enterprise social media." 2017 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2017). Leipzig, Germany 23 - 26 Aug 2017 New York, United States. https://doi.org/10.1145/3106426.3115865
A Cross - layer Optimization of Video Transmission Based on Packet Loss Rate in 802.11e Wireless Networks
Zhou, Xujuan, Soar, Jeffrey, Gururajan, Raj, Wu, Zhangguang and Wu, Weimin. 2017. "A Cross - layer Optimization of Video Transmission Based on Packet Loss Rate in 802.11e Wireless Networks." 2017 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2017). Leipzig, Germany 23 - 26 Aug 2017 United States. https://doi.org/10.1145/3106426.3109445
Coupling topic modelling in opinion mining for social media analysis
Zhou, Xujuan, Tao, Xiaohui, Rahman, Md Mostafijur and Zhang, Ji. 2017. "Coupling topic modelling in opinion mining for social media analysis." 2017 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2017). Leipzig, Germany 23 - 26 Aug 2017 New York, United States. https://doi.org/10.1145/3106426.3106459
Filtering and sophisticated data processing for web information gathering
Li, Yuefeng, Zhong, Ning, Zhou, Xujuan and Wu, Sheng-Tang. 2007. "Filtering and sophisticated data processing for web information gathering." Kryszkiewicz, M. (ed.) 2007 International Conference on Rough Sets and Intelligent Systems Paradigms (RSEISP 2007). Warsaw, Poland 28 - 30 Jun 2007 Berlin, Germany.
Integration of information filtering and data mining process for web information retrieval
Zhou, Xujuan, Li, Yuefeng, Bruza, Peter and Xu, Yue. 2007. "Integration of information filtering and data mining process for web information retrieval." Spink, Amanda, Turpin, Andrew and Wu, Mingfang (ed.) 12th Australasian Document Computing Symposium (ADCS 2007). Melbourne, Australia 10 Dec 2007 Melbourne, Australia.
Towards context-sensitive domain ontology extraction
Lau, Raymond Y. K., Hao, Jin Xing, Tang, Maolin and Zhou, Xujuan. 2007. "Towards context-sensitive domain ontology extraction." 40th Annual Hawaii International Conference on System Sciences (HICSS40). Hawaii, United States 03 - 06 Jan 2007 Los Alamitos, CA. United States. https://doi.org/10.1109/HICSS.2007.570
Two-stage model for information filtering
Zhou, Xujuan, Li, Yuefeng, Bruza, Peter, Xu, Yue and Lau, Raymond Y. K.. 2008. "Two-stage model for information filtering." 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT 2008). Sydney, Australia 09 - 12 Dec 2008 Sydney, NSW, Australia. https://doi.org/10.1109/WIIAT.2008.390
Pattern taxonomy mining for information filtering
Zhou, Xujuan, Li, Yuefeng, Bruza, Peter, Xu, Yue and Lau, Raymond Y. K.. 2008. "Pattern taxonomy mining for information filtering." Wobcke, W. and Zhang, M. (ed.) AI 2008: 21st Australasian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence . Auckland, New Zealand 01 - 05 Dec 2008 Berlin, Germany. https://doi.org/10.1007/978-3-540-89378-3_42
Rough sets based reasoning and pattern mining for a two-stage information filtering system
Zhou, Xujuan, Li, Yuefeng, Bruza, Peter, Xu, Yue and Lau, Raymaon Y. K.. 2010. "Rough sets based reasoning and pattern mining for a two-stage information filtering system." 19th ACM International Conference on Information and Knowledge Management (CIKM 2010). Toronto, Canada 26 - 30 Oct 2010 New York, NY. United States. https://doi.org/10.1145/1871437.1871639
Sequential pattern mining and nonmonotonic reasoning for intelligent information agents
Lau, Raymond Y. K., Li, Yuefeng, Wu, Sheng-Tang and Zhou, Xujuan. 2007. "Sequential pattern mining and nonmonotonic reasoning for intelligent information agents." International Journal of Pattern Recognition and Artificial Intelligence. 21 (4), pp. 773-789. https://doi.org/10.1142/S0218001407005673
Pattern mining for a two-stage information filtering system
Zhou, Xujuan, Li, Yuefeng, Bruza, Peter, Xu, Yue and Lau, Raymond Y. K.. 2011. "Pattern mining for a two-stage information filtering system." Huang , J.Z., Cao, L. and Srivastava , J. (ed.) 15th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2011). Shenzhen, China 24 - 27 May 2011 Germany. Springer. https://doi.org/10.1007/978-3-642-20841-6_30
Sentiment analysis for depression detection on social networks
Tao, Xiaohui, Zhou, Xujuan, Zhang, Ji and Yong, Jianming. 2016. "Sentiment analysis for depression detection on social networks." Li, Jinyan, Li, Xue, Wang, Xue, Li, Jianxin and Sheng, Quan Z. (ed.) 12th International Conference on Advanced Data Mining and Applications (ADMA 2016). Gold Coast, QLD, Australia 12 - 15 Dec 2016 Switzerland. https://doi.org/10.1007/978-3-319-49586-6_59
A two-stage information filtering based on rough decision rule and pattern mining
Zhou, Xujuan, Li, Yuefeng, Bruza, Peter, Xu, Yue and Lau, Raymond. 2010. "A two-stage information filtering based on rough decision rule and pattern mining." Journal of Emerging Technologies in Web Intelligence. 2 (4), pp. 326-332. https://doi.org/10.4304/jetwi.2.4.326-332
Software development for managing nutrition intake for Type II Diabetes Mellitus
Krishnan, Dharini, Zhou, Xujuan, Chakraborty, Subrata, Gururajan, Rashmi and Gururajan, Raj. 2016. "Software development for managing nutrition intake for Type II Diabetes Mellitus." 10th International Conference on Software, Knowledge, Information Management and Application (SKIMA 2016). Chengdu, China 15 - 17 Dec 2016 China.
Objective Analysis of Marker Bias in Higher Education
Chakraborty, Subrata, Zhou, Susan, Hafeez-Baig, Abdul, Gururajan, Raj, Paul, Manoranjan, Mandal, Anuradha, Chacko, Anila Elizabeth and Barua, Prabal D.. 2017. "Objective Analysis of Marker Bias in Higher Education." 5th IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE 2016). Bangkok, Thailand 07 - 09 Dec 2016 Piscataway, United States. https://doi.org/10.1109/TALE.2016.7851839
Financial competing interests were associated with favorable conclusions and greater author productivity in nonsystematic reviews of neuraminidase inhibitors
Dunn, Adam G., Zhou, Xujuan, Hudgins, Joel, Arachi, Diana, Mandl, Kenneth D., Coiera, Enrico and Bourgeois, Florence T.. 2016. "Financial competing interests were associated with favorable conclusions and greater author productivity in nonsystematic reviews of neuraminidase inhibitors." Journal of Clinical Epidemiology. 80, pp. 43-49. https://doi.org/10.1016/j.jclinepi.2016.07.010
A two-stage text mining model for information filtering
Li, Yuefeng, Zhou, Xujuan, Bruza, Peter, Xu, Yue and Lau, Raymond Y.K.. 2008. "A two-stage text mining model for information filtering." CIKM 2008: ACM 17th Conference on Information and Knowledge Management. Napa Valley, United States 26 - 30 Oct 2008 New York, United States. https://doi.org/10.1145/1458082.1458218
Relevance assessment of topic ontology
Zhou, Xujuan, Li, Yuefeng, Xu, Yue and Lau, Raymond. 2006. "Relevance assessment of topic ontology ." 4th International Conference on Active Media Technology (AMT 2006). Brisbane, Australia 07 - 09 Jun 2006
Using information filtering in web data mining process
Zhou, Xujuan, Li, Yuefeng, Bruza, Peter, Wu, Sheng-Tang, Xu, Yue and Lau, Raymond Y. K.. 2007. "Using information filtering in web data mining process." 2007 IEEE/WIC/ACM International Conference on Web Intelligence. Fremont, United States of America 02 - 05 Nov 2007 United States. https://doi.org/10.1109/WI.2007.24
Utilizing search intent in topic ontology-based user profile for web mining
Zhou, Xujuan, Wu, Sheng-Tang, Li, Yuefeng, Xu, Yue, Lau, Raymond Y.K. and Bruza, Peter D.. 2006. "Utilizing search intent in topic ontology-based user profile for web mining ." IEEE/WIC/ACM International Conferenceon Web Intelligence (WI'06). Hong Kong, China 18 - 22 Dec 2006 United States. https://doi.org/10.1109/WI.2006.186
A two-stage decision model for information filtering
Li, Yuefeng, Zhou, Xujuan, Bruza, Peter, Xu, Yue and Lau, Raymond Y.K.. 2012. "A two-stage decision model for information filtering." Decision Support Systems. 52 (3), pp. 706-716. https://doi.org/10.1016/j.dss.2011.11.005
The state-of-the-art in personalized recommender systems for social networking
Zhou, Xujuan, Xu, Yue, Li, Yuefeng, Audun, Josang and Cox, Clive. 2012. "The state-of-the-art in personalized recommender systems for social networking." Artificial Intelligence Review. 37 (2), pp. 119-132. https://doi.org/10.1007/s10462-011-9222-1
Citations alone were enough to predict favorable conclusions in reviews of neuraminidase inhibitors
Zhou, Xujuan, Wang, Ying, Tsafnat, Guy, Coiera, Enrico, Bourgeois, Florence T. and Dunn, Adam G.. 2015. "Citations alone were enough to predict favorable conclusions in reviews of neuraminidase inhibitors ." Journal of Clinical Epidemiology. 68 (1), pp. 87-93. https://doi.org/10.1016/j.jclinepi.2014.09.014
Associations between exposure to and expression of negative opinions about Human Papillomavirus vaccines on social media: an observational study
Dunn, Adam G., Leask, Julie, Zhou, Xujuan, Mandl, Kenneth D. and Coiera, Enrico. 2015. "Associations between exposure to and expression of negative opinions about Human Papillomavirus vaccines on social media: an observational study." Journal of Medical Internet Research. 17 (6), pp. 1-10. https://doi.org/10.2196/jmir.4343
Using social connection information to improve opinion mining: Identifying negative sentiment about HPV vaccines on Twitter
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Sentiment Analysis on Tweets for Social Events
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Personalised information gathering and recommender systems: techniques and trends
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