Publications


Publications listed in DBLP and Google Scholar .

2017

Diana Benavides Prado, Yun Sing Koh, Patricia Riddle: AccGenSVM: Selectively Transferring from Previous Hypotheses. IJCAI 2017: 1440-1446 bibtex

Ruolin Jia, Yun Sing Koh, Gillian Dobbie. Volatility Adaptive Classifier System. In Pacific-Asia Conference on Knowledge Discovery and Data Mining, pages 122-134, Springer, 2016 bibtex

Alex Yuxuan Peng, Yun Sing Koh, Patricia Riddle. mHUIMiner: A Fast High Utility Itemset Mining Algorithm for Sparse Datasets. In Pacific-Asia Conference on Knowledge Discovery and Data Mining, pages 196-207, Springer, 2016 bibtex

Parnia Samimi, Sri Devi Ravana, William Webber, Yun Sing Koh: Effects of objective and subjective competence on the reliability of crowdsourced relevance judgments. Inf. Res. 22(1) (2017) bibtex

2016

Robert Anderson, Yun Sing Koh, Gillian Dobbie. CPF: Concept Profiling Framework for Recurring Drifts in Data Streams. In Australasian Conference on Artificial Intelligence 2016, pages 203–214, Springer, 2016 pdf bibtex (Best Student Paper Award)

Kylie Chen, Yun Sing Koh, and Patricia Riddle. Proactive drift detection: Predicting concept drifts in data streams using probabilistic networks. In International Joint Conference on Neural Networks (IJCNN), pages 780–787. IEEE, 2016. pdf bibtex

Se Yeong Jeong, Yun Sing Koh, and Gillian Dobbie. Phishing detection on twitter streams. In Pacific-Asia Conference on Knowledge Discovery and Data Mining, pages 141–153. Springer International Publishing, 2016. bibtex

Yun Sing Koh. CD-TDS: Change detection in transactional data streams for frequent pattern mining. In International Joint Conference on Neural Networks (IJCNN), pages 1554–1561. IEEE, 2016. bibtex

Yun Sing Koh and Sri Devi Ravana. Unsupervised rare pattern mining: A survey. ACM Transactions on Knowledge Discovery from Data (TKDD), 10(4):45, 2016. pdf bibtex

Parnia Samimi, Sri Devi Ravana, and Yun Sing Koh. Effect of verbal comprehension skill and self-reported features on reliability of crowdsourced relevance judgments. Computers in Human Behavior, 64:793–804, 2016. bibtex

2015

Mohammad Abdullatif, Yun Sing Koh, and Gillian Dobbie. Unsupervised semantic and syntactic based classification of scientific citations. In Big Data Analytics and Knowledge Discovery, pages 28–39. Springer International Publishing, 2015. bibtex

Robert Anderson and Yun Sing Koh. StreamXM: An adaptive partitional clustering solution for evolving data streams. In Big Data Analytics and Knowledge Discovery, pages 270–282. Springer International Publishing, 2015. bibtex

Kylie Chen, Yun Sing Koh, and Patricia Riddle. Tracking drift severity in data streams. In AI 2015: Advances in Artificial Intelligence, pages 96–108. Springer International Publishing, 2015. bibtex

David Tse Jung Huang, Yun Sing Koh, Gillian Dobbie, and Albert Bifet. Drift detection using stream volatility. In Machine Learning and Knowledge Discovery in Databases, pages 417–432. Springer International Publishing, 2015. bibtex

David Tse Jung Huang, Yun Sing Koh, and Gillian Dobbie. Rare pattern mining from data streams using SRP-tree and its variants. In Transactions on Large-Scale Data-and Knowledge-Centered Systems XXI, pages 140–160. Springer Berlin Heidelberg, 2015. bibtex

Yun Sing Koh and Russel Pears. HI-tree: Mining high influence patterns using external and internal utility values. In Big Data Analytics and Knowledge Discovery, pages 43–56. Springer International Publishing, 2015. bibtex

Russel Pears, Songwut Pisalpanus, and Yun Sing Koh. A graph based approach to inferring item weights for pattern mining. Expert Systems with Applications, 42(1):451–461, 2015. bibtex

Wei Zhou, Junhao Wen, Yun Sing Koh, Qingyu Xiong, Min Gao, Gillian Dobbie, and Shafiq Alam. Shilling attacks detection in recommender sys- tems based on target item analysis. PloS one, 10(7):e0130968, 2015. bibtex

2014

Shafiq Alam, Gillian Dobbie, Yun Sing Koh, Patricia Riddle, and Saeed Ur Rehman. Research on particle swarm optimization based clustering: a systematic review of literature and techniques. Swarm and Evolutionary Computation, 17:1–13, 2014.

Shafiq Alam, Gillian Dobbie, Yun Sing Koh, and Patricia Riddle. Web bots detection using particle swarm optimization based clustering. In 2014 IEEE Congress on Evolutionary Computation (CEC), pages 2955–2962. IEEE, 2014.

Shafiq Alam, Gillian Dobbie, Yun Sing Koh, and Patricia Riddle. Web us- age mining based recommender systems using implicit heterogeneous data. Web Intelligence and Agent Systems: An International Journal, 12(4):389– 409, 2014.

Shafiq Alam, Gillian Dobbie, Yun Sing Koh, and Saeed ur Rehman. Biologically inspired techniques for data mining: A brief overview of particle. Biologically-Inspired Techniques for Knowledge Discovery and Data Mining, page 1, 2014.

Dobbie Gillian, Alam Shafiq, Saeed Rehman, and Yun Sing Koh. Bio- logically inspired techniques for data mining: A brief overview of particle swarm optimization for KDD. alam. 2014.

David Tse Jung Huang, Yun Sing Koh, Gillian Dobbie, and Russel Pears. Detecting changes in rare patterns from data streams. In Advances in Knowledge Discovery and Data Mining, pages 437–448. Springer International Publishing, 2014.

David Tse Jung Huang, Yun Sing Koh, Gillian Dobbie, and Russel Pears. Detecting volatility shift in data streams. In 2014 IEEE International Conference on Data Mining (ICDM), pages 863–868. IEEE, 2014.

Yun Sing Koh and Russel Pears. Efficient negative association rule mining based on chance thresholds. Intelligent Data Analysis, 18(2):243–260, 2014.

Russel Pears, Sripirakas Sakthithasan, and Yun Sing Koh. Detecting concept change in dynamic data streams. Machine Learning, 97(3):259–293, 2014.

Timothy D Robinson, David Tse Jung Huang, Yun Sing Koh, and Gillian Dobbie. Drift detector for memory-constrained environments. In Data Warehousing and Knowledge Discovery, pages 414–425. Springer Interna- tional Publishing, 2014.

Sidney Tsang, Yun Sing Koh, Gillian Dobbie, and Shafiq Alam. Detecting online auction shilling frauds using supervised learning. Expert Systems with Applications, 41(6):3027–3040, 2014.

Sidney Tsang, Yun Sing Koh, Gillian Dobbie, and Shafiq Alam. Span: finding collaborative frauds in online auctions. Knowledge-Based Systems, 71:389–408, 2014.

Wei Zhou, Yun Sing Koh, Junhao Wen, Shafiq Alam, and Gillian Dobbie. Detection of abnormal profiles on group attacks in recommender systems. In Proceedings of the 37th international ACM SIGIR conference on Research & development in information retrieval, pages 955–958. ACM, 2014.

Wei Zhou, Junhao Wen, Yun Sing Koh, Shafiq Alam, and Gillian Dobbie. Attack detection in recommender systems based on target item analysis. In 2014 International Joint Conference on Neural Networks (IJCNN), pages 332–339. IEEE, 2014.

2013

Mohammad Abdullatif, Yun Sing Koh, Gillian Dobbie, and Shafiq Alam. Verb selection using semantic role labeling for citation classification. In Proceedings of the 2013 workshop on Computational scientometrics: theory & applications, pages 25–30. ACM, 2013.

Shafiq Alam, Gillian Dobbie, Yun Sing Koh, and Patricia Riddle. Cluster- ing heterogeneous web usage data using hierarchical particle swarm optimization. In 2013 IEEE Symposium on Swarm Intelligence (SIS), pages 147–154. IEEE, 2013.

Shafiq Alam, Gillian Dobbie, Patricia Riddle, and Yun Sing Koh. Analysis of web usage data for clustering based recommender system. In Trends in Practical Applications of Agents and Multiagent Systems, pages 171–179. Springer International Publishing, 2013.

David TJ Huang, Yun Sing Koh, Gillian Dobbie, and Russel Pears. Track- ing drift types in changing data streams. In Advanced Data Mining and Applications, pages 72–83. Springer Berlin Heidelberg, 2013.

 Yun Sing Koh and Gillian Dobbie. Efficient single pass ordered incremental pattern mining. In Transactions on Large-Scale Data-and Knowledge- Centered Systems VIII, pages 137–156. Springer Berlin Heidelberg, 2013.

Russel Pears, Yun Sing Koh, Gillian Dobbie, and Wai Yeap. Weighted association rule mining via a graph based connectivity model. Information Sciences, 218:61–84, 2013.

Sripirakas Sakthithasan, Russel Pears, and Yun Sing Koh. One pass concept change detection for data streams. In Advances in Knowledge Discovery and Data Mining, pages 461–472. Springer Berlin Heidelberg, 2013.

Sidney Tsang, Yun Sing Koh, and Gillian Dobbie. Finding interesting rare association rules using rare pattern tree. In Transactions on Large- Scale Data-and Knowledge-Centered Systems VIII, pages 157–173. Springer Berlin Heidelberg, 2013.

Eileen H-C Wei, Yun Sing Koh, and Gillian Dobbie. Finding maximal overlapping communities. In Data Warehousing and Knowledge Discovery, pages 309–316. Springer Berlin Heidelberg, 2013.

Minmin Zhang, Gillian Dobbie, and Yun Sing Koh. Change itemset mining in data streams. In Advanced Data Mining and Applications, pages 97–108. Springer Berlin Heidelberg, 2013.

2012

Shafiq Alam, Gillian Dobbie, Patricia Riddle, and Yun Sing Koh. Hierar- chical pso clustering based recommender system. In 2012 IEEE Congress on Evolutionary Computation (CEC), pages 1–8. IEEE, 2012.

Longbing Cao, Joshua Huang, James Bailey, Yun Sing Koh, and Jun Luo. New Frontiers in Applied Data Mining: PAKDD 2011 International Work- shops, Shenzhen, China, May 24-27, 2011, Revised Selected Papers, volume 7104. Springer, 2012.

David Huang, Yun Sing Koh, and Gillian Dobbie. Rare pattern mining on data streams. In Data Warehousing and Knowledge Discovery, pages 303–314. Springer Berlin Heidelberg, 2012.

David Tse Jung Huang, Yun Sing Koh, Gillian Dobbie, and Russel Pears. Kernel-tree: mining frequent patterns in a data stream based on forecast support. In AI 2012: Advances in Artificial Intelligence, pages 614–625. Springer Berlin Heidelberg, 2012.

Yun Sing Koh and Gillian Dobbie. Indirect weighted association rules min- ing for academic network collaboration recommendations. In Proceedings of the Tenth Australasian Data Mining Conference-Volume 134, pages 167–173. Australian Computer Society, Inc., 2012.

Yun Sing Koh, Russel Pears, and Gillian Dobbie. Automatic item weight generation for pattern mining and its application. Developments in Data Extraction, Management, and Analysis, page 187, 2012.

Yun Sing Koh, Russel Pears, and Gillian Dobbie. Extrapolation prefix tree for data stream mining using a landmark model. In Data Warehousing and Knowledge Discovery, pages 340–351. Springer Berlin Heidelberg, 2012.

Yun Sing Koh, Russel Pears, and Gillian Dobbie. Weighttransmitter: weighted association rule mining using landmark weights. In Advances in Knowledge Discovery and Data Mining, pages 37–48. Springer Berlin Heidelberg, 2012.

Sidney Tsang, Gillian Dobbie, and Yun Sing Koh. Evaluating fraud detec- tion algorithms using an auction data generator. In 2012 IEEE 12th International Conference on Data Mining Workshops (ICDMW), pages 332–339. IEEE, 2012.

Sidney Tsang, Gillian Dobbie, and Yun Sing Koh. Generating realistic online auction data. In AI 2012: Advances in Artificial Intelligence, pages 120–131. Springer Berlin Heidelberg, 2012.

2011

Yun Sing Koh and Gillian Dobbie. Spo-tree: efficient single pass ordered in- cremental pattern mining. In Data Warehousing and Knowledge Discovery, pages 265–276. Springer Berlin Heidelberg, 2011.

Yun Sing Koh, Russel Pears, and Gillian Dobbie. Automatic assignment of item weights for pattern mining on data streams. In Advances in Knowledge Discovery and Data Mining, pages 387–398. Springer Berlin Heidelberg, 2011.

Russel Pears, Yun Sing Koh, and Gillian Dobbie. Discriminatory confidence analysis in pattern mining. In Advanced Data Mining and Applications, pages 285–298. Springer Berlin Heidelberg, 2011.

 Russel Pears and Yun Sing Koh. Weighted association rule mining using particle swarm optimization. In New Frontiers in Applied Data Mining, pages 327–338. Springer Berlin Heidelberg, 2011.

Sidney Tsang, Yun Sing Koh, and Gillian Dobbie. Rp-tree: rare pattern tree mining. In Data Warehousing and Knowledge Discovery, pages 277–288. Springer Berlin Heidelberg, 2011.

2010 and Older

Yun Sing Koh, Russel Pears, and Wai Yeap. Valency based weighted asso- ciation rule mining. In Advances in Knowledge Discovery and Data Mining, pages 274–285. Springer Berlin Heidelberg, 2010.

Russel Pears, Yun Sing Koh, and Gillian Dobbie. Ewgen: Automatic gen- eration of item weights for weighted association rule mining. In Advanced Data Mining and Applications, pages 36–47. Springer Berlin Heidelberg, 2010.

Stefan Hoeglinger, Russel Pears, and Yun Koh. Cbdt: a concept based approach to data stream mining. Advances in knowledge discovery and data mining, pages 1006–1012, 2009.

Yun Sing Koh and Russel Pears. A multi-methodological approach to rare association rule mining. Rare Association Rule Mining and Knowledge Discovery: Technologies for Infrequent and Critical Event Detection: Tech- nologies for Infrequent and Critical Event Detection, 3:76, 2009.

Yun Sing Koh and Russel Pears. Non-redundant rare itemset generation. In Proceedings of the Eighth Australasian Data Mining Conference-Volume 101, pages 69–74. Australian Computer Society, Inc., 2009.

Yun Sing Koh. Rare Association Rule Mining and Knowledge Discovery: Technologies for Infrequent and Critical Event Detection: Technologies for Infrequent and Critical Event Detection, volume 3. IGI Global, 2009.

Yun Sing Koh and Nathan Rountree. Rare association rule mining: An overview. Rare Association Rule Mining and Knowledge Discovery: Tech- nologies for Infrequent and Critical Event Detection: Technologies for In- frequent and Critical Event Detection, 3:1, 2009.

Yun Sing Koh. Finding sporadic rules in the diagnosis of the erythemato- squamous diseases. Intelligent Data Analysis, 12(6):621–637, 2008.

Yun Sing Koh. Mining non-coincidental rules without a user defined sup- port threshold. In Advances in Knowledge Discovery and Data Mining, pages 910–915. Springer Berlin Heidelberg, 2008.

Yun Sing Koh, Richard OKeefe, and Nathan Rountree. Interestingness measures for association rules: What do they really measure? pages pages 36–58, 2008.

Yun Sing Koh and Russel Pears. Rare association rule mining via trans- action clustering. In Proceedings of the 7th Australasian Data Mining Conference-Volume 87, pages 87–94. Australian Computer Society, Inc., 2008.

Yun Sing Koh and Russel Pears. Transaction clustering using a seeds based approach. In Advances in Knowledge Discovery and Data Mining, pages 916–922. Springer Berlin Heidelberg, 2008.

Yun Sing Koh, Nathan Rountree, and Richard A OKeefe. Mining interesting imperfectly sporadic rules. Knowledge and Information Systems, 14(2):179–196, 2008.

Yun Sing Koh and Russel Pears. Efficiently finding negative association rules without support threshold. In AI 2007: Advances in Artificial Intel- ligence, pages 710–714. Springer Berlin Heidelberg, 2007.

Yun Sing Koh, Nathan Rountree, and Richard OKeefe. Finding non- coincidental sporadic rules using apriori-inverse. International Journal of Data Warehousing and Mining (IJDWM), 2(2):38–54, 2006.

Yun Sing Koh, Nathan Rountree, and Richard OKeefe. Mining interesting imperfectly sporadic rules. In Advances in Knowledge Discovery and Data Mining, pages 473–482. Springer Berlin Heidelberg, 2006.

Yun Sing Koh and Nathan Rountree. Finding sporadic rules using apriori- inverse. In Advances in Knowledge Discovery and Data Mining, pages 97–106. Springer Berlin Heidelberg, 2005.