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2019

Conference Publication

A multivariate ELO-based learner model for adaptive educational systems

Abdi, 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.

A multivariate ELO-based learner model for adaptive educational systems

2019

Conference Publication

Tracking user behaviours: Laboratory-based and in-the-wild user studies

Demartini, 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

Tracking user behaviours: Laboratory-based and in-the-wild user studies

2019

Conference Publication

Context-aware attention-based data augmentation for POI recommendation

Li, 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

Context-aware attention-based data augmentation for POI recommendation

2019

Conference Publication

Semi-supervised Clustering with Deep Metric Learning

Li, 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

Semi-supervised Clustering with Deep Metric Learning

2018

Conference Publication

Enablers and inhibitors of effective use of big data: insights from a case study

Sejahtera, 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.

Enablers and inhibitors of effective use of big data: insights from a case study

2018

Conference Publication

Business process and rule integration approaches - An empirical analysis

Chen, 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

Business process and rule integration approaches - An empirical analysis

2018

Conference Publication

Predicting Student Performance: The Case of Combining Knowledge Tracing and Collaborative Filtering

Abdi, 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.

Predicting Student Performance: The Case of Combining Knowledge Tracing and Collaborative Filtering

2017

Conference Publication

Jointly modeling heterogeneous temporal properties in location recommendation

Hosseini, 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

Jointly modeling heterogeneous temporal properties in location recommendation

2017

Conference Publication

Effect of linked rules on business process model understanding

Wang, 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

Effect of linked rules on business process model understanding

2017

Conference Publication

A performance study on large-scale data analytics using disk-based and in-memory database systems

Chao, 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

A performance study on large-scale data analytics using disk-based and in-memory database systems

2017

Conference Publication

Business process model and business rule integration - Towards a decision framework

Wang, 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.

Business process model and business rule integration - Towards a decision framework

2016

Conference Publication

SPORE: a sequential personalized spatial item recommender system

Wang, 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

SPORE: a sequential personalized spatial item recommender system

2016

Conference Publication

Cognitive efforts in using integrated models of business processes and rules

Wang, Wei, Indulska, Marta and Sadiq, Shazia (2016). Cognitive efforts in using integrated models of business processes and rules. CAiSE Forum, Ljubljana, Slovenia, 13-17 June 2016. Ljubljana, Slovenia: CEUR Workshop Proceedings.

Cognitive efforts in using integrated models of business processes and rules

2016

Conference Publication

Discovering interpretable geo-social communities for user behavior prediction

Yin, 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

Discovering interpretable geo-social communities for user behavior prediction

2016

Conference Publication

A pattern-based framework for addressing data representational inconsistency

Yi, 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

A pattern-based framework for addressing data representational inconsistency

2016

Conference Publication

Exploiting hierarchies for efficient detection of completeness in stream data

Razniewski, 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

Exploiting hierarchies for efficient detection of completeness in stream data

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

Big Data Quality - Whose problem is it?

2015

Conference Publication

Making sense of trajectory data: a partition-and-summarization approach

Su, Han, Zheng, Kai, Zeng, Kai, Huang, Jiamin, Sadiq, Shazia, Yuan, Nicholas Jing and Zhou, Xiaofang (2015). Making sense of trajectory data: a partition-and-summarization approach. IEEE International Conference on Data Engineering, Seoul, South Korea, 13-17 April 2015. Piscataway, NJ, United States: IEEE. doi: 10.1109/ICDE.2015.7113348

Making sense of trajectory data: a partition-and-summarization approach

2015

Conference Publication

SharkDB: an in-memory storage system for massive trajectory data

Wang, Haozhou, Zheng, Kai, Zhou, Xiaofang and Sadiq, Shazia (2015). SharkDB: an in-memory storage system for massive trajectory data. SIGMOD '15 Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, VIC Australia, May 31 - June 4 2015. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/2723372.2735368

SharkDB: an in-memory storage system for massive trajectory data

2015

Conference Publication

Geo-SAGE: a geographical sparse additive generative model for spatial item recommendation

Wang, Weiqing, Yin, Hongzhi, Chen, Ling, Sun, Yizhou, Sadiq, Shazia and Zhou, Xiaofang (2015). Geo-SAGE: a geographical sparse additive generative model for spatial item recommendation. ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Sydney, NSW, Australia, 10-13 August 2015. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/2783258.2783335

Geo-SAGE: a geographical sparse additive generative model for spatial item recommendation