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2019 Conference Publication Compliance centric data quality management – the banking and financial industry perspectiveKhan, Faisal, Indulska, Marta and Sadiq, Shazia (2019). Compliance centric data quality management – the banking and financial industry perspective. ACIS 2019, Perth, WA, Australia, 9-11 December 2019. Perth, WA, Australia: ACIS. |
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2019 Conference Publication Responsible process mining - a data quality perspectiveWynn, Moe Thandar and Sadiq, Shazia (2019). Responsible process mining - a data quality perspective. International Conference on Business Process Management, Vienna, Australia, 1-6 September 2019. Cham, Switzerland: Springer . doi: 10.1007/978-3-030-26619-6_2 |
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2019 Conference Publication A multivariate ELO-based learner model for adaptive educational systemsAbdi, Solmaz, Khosravi, Hassan, Sadiq, Shazia and Gasevic, Dragan (2019). A multivariate ELO-based learner model for adaptive educational systems. 12th International Conference on Educational Data Mining, Montreal, Canada, July 2-5, 2019. International Educational Data Mining Society. |
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2019 Conference Publication Tracking user behaviours: Laboratory-based and in-the-wild user studiesDemartini, Gianluca and Sadiq, Shazia (2019). Tracking user behaviours: Laboratory-based and in-the-wild user studies. 24th International Conference on Database Systems for Advanced Applications, DASFAA 2019, Chiang Mai, Thailand, 22-25 April 2019. Cham, Switzerland: Springer Verlag. doi: 10.1007/978-3-030-18590-9a |
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2019 Conference Publication Context-aware attention-based data augmentation for POI recommendationLi, Yang, Luo, Yadan, Zhang, Zheng, Sadiq, Shazia and Cui, Peng (2019). Context-aware attention-based data augmentation for POI recommendation. 2019 IEEE 35th International Conference on Data Engineering Workshops (ICDEW), Macao, 8-12 April 2019. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/ICDEW.2019.00-14 |
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2019 Conference Publication Semi-supervised Clustering with Deep Metric LearningLi, Xiaocui, Yin, Hongzhi, Zhou, Ke, Chen, Hongxu, Sadiq, Shazia and Zhou, Xiaofang (2019). Semi-supervised Clustering with Deep Metric Learning. 24th International Conference on Database Systems for Advanced Applications, DASFAA 2019, Chiang Mai, Thailand, 22-15 April 2019. Heidelberg, Germany: Springer . doi: 10.1007/978-3-030-18590-9_50 |
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2019 Conference Publication Collaborative generative adversarial network for recommendation systemsTong, Yuzhen, Luo, Yadan, Zhang, Zheng, Sadiq, Shazia and Cui, Peng (2019). Collaborative generative adversarial network for recommendation systems. 2019 IEEE 35th International Conference on Data Engineering Workshops (ICDEW), Macao, 8-12 April 2019. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/ICDEW.2019.00-16 |
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2019 Conference Publication Perceptions and Challenges of EHR Clinical Data QualityDowney, Shane, Indulska, Marta and Sadiq, Shazia (2019). Perceptions and Challenges of EHR Clinical Data Quality. 30th Australasian Conference on Information Systems ACIS 2019, Perth, WA Australia, 9-11 December 2019. Atlanta, GA United States: Association for Information Systems. |
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2018 Conference Publication Business process and rule integration approaches - An empirical analysisChen, Tianwa, Wang, Wei, Indulska, Marta and Sadiq, Shazia (2018). Business process and rule integration approaches - An empirical analysis. 16th International Conference on Business Process Management Forum, BPM Forum 2018, Sydney, NSW, 9-14 September 2018. Heidelberg, Germany: Springer. doi: 10.1007/978-3-319-98651-7_3 |
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2018 Conference Publication Predicting Student Performance: The Case of Combining Knowledge Tracing and Collaborative FilteringAbdi, Solmaz, Khosravi, Hassan and Sadiq, Shazia (2018). Predicting Student Performance: The Case of Combining Knowledge Tracing and Collaborative Filtering. International Conference on Educational Data Mining, Buffalo, NY, United States, 15-18 July 2018. Educational Data Mining. |
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2018 Conference Publication Enablers and inhibitors of effective use of big data: insights from a case studySejahtera, Feliks Prasepta, Wang, Wei, Indulska, Marta and Sadiq, Shazia (2018). Enablers and inhibitors of effective use of big data: insights from a case study. Pacific Asia Conference on Information Systems (PACIS 2018), Yokohama, Japan, 26-30 June 2018. Association for Information Systems. |
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2017 Conference Publication Effect of linked rules on business process model understandingWang, Wei, Indulska, Marta, Sadiq, Shazia and Weber, Barbara (2017). Effect of linked rules on business process model understanding. BPM 2017 International Conference on Business Process Management, Barcelona, Spain, 10-15 September, 2017. Cham, Switzerland: Springer. doi: 10.1007/978-3-319-65000-5_12 |
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2017 Conference Publication A performance study on large-scale data analytics using disk-based and in-memory database systemsChao, Pingfu, He, Dan, Sadiq, Shazia, Zheng, Kai and Zhou, Xiaofang (2017). A performance study on large-scale data analytics using disk-based and in-memory database systems. 2017 IEEE International Conference on Big Data and Smart Computing, BigComp 2017, Jeju, South Korea, 13 - 16 February 2017. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/BIGCOMP.2017.7881706 |
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2017 Conference Publication Business process model and business rule integration - Towards a decision frameworkWang, W., Sadiq, S. and Indulska, M. (2017). Business process model and business rule integration - Towards a decision framework. 28th International Conference on Advanced Information Systems Engineering, Ljubljana; Slovenia, 13 June 2016 through 17 June 2016. Aachen, Germany: Rheinisch-Westfaelische Technische Hochschule Aachen. |
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2017 Conference Publication Jointly modeling heterogeneous temporal properties in location recommendationHosseini, Saeid, Yin, Hongzhi, Zhang, Meihui, Zhou, Xiaofang and Sadiq, Shazia (2017). Jointly modeling heterogeneous temporal properties in location recommendation. 22nd Internation Conference, DASFAA 2017, Suzhou, China, 27 - 30 March 2017. Cham, Switzerland: Springer. doi: 10.1007/978-3-319-55753-3_31 |
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2016 Conference Publication Discovering interpretable geo-social communities for user behavior predictionYin, Hongzhi, Hu, Zhiting, Zhou, Xiaofang, Wang, Hao, Zheng, Kai, Quoc Viet Hung Nguyen and Sadiq, Shazia (2016). Discovering interpretable geo-social communities for user behavior prediction. IEEE International Conference on Data Engineering (ICDE), Helsinki, Finland, 16-20 May 2016. Washington, DC United States: IEEE Computer Society. doi: 10.1109/ICDE.2016.7498303 |
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2016 Conference Publication A pattern-based framework for addressing data representational inconsistencyYi, Bingyu, Hua, Wen and Sadiq, Shazia (2016). A pattern-based framework for addressing data representational inconsistency. 27th Australasian Database Conference on Databases Theory and Applications, ADC 2016, Sydney, NSW, Australia, 28-29 September 2016. Heidelberg, Germany: Springer. doi: 10.1007/978-3-319-46922-5_31 |
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2016 Conference Publication Exploiting hierarchies for efficient detection of completeness in stream dataRazniewski, Simon, Sadiq, Shazia and Zhou, Xiaofang (2016). Exploiting hierarchies for efficient detection of completeness in stream data. 27th Australasian Database Conference on Databases Theory and Applications, ADC 2016, Sydney, Australia, 28-29 September 2016. Heidelberg, Germany: Springer. doi: 10.1007/978-3-319-46922-5_33 |
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2016 Conference Publication Big Data Quality - Whose problem is it?Sadiq, Shazia and Papotti, Paolo (2016). Big Data Quality - Whose problem is it?. 32nd IEEE International Conference on Data Engineering (ICDE), Helsinki, Finland, 16-20 May 2016. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers Inc.. doi: 10.1109/ICDE.2016.7498367 |
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2016 Conference Publication SPORE: a sequential personalized spatial item recommender systemWang, Weiqing, Yin, Hongzhi, Sadiq, Shazia, Chen, Ling, Xie, Min and Zhou, Xiaofang (2016). SPORE: a sequential personalized spatial item recommender system. IEEE International Conference on Data Engineering (ICDE), Helsinki, Finland, 16-20 May 2016. Washington, DC, United States: IEEE Computer Society. doi: 10.1109/ICDE.2016.7498304 |
