International Visualization, Informatics & Technology Conference (IVIT2022)
1st & 2nd November 2022 at UniKL MIIT City Campus in Kuala Lumpur, Malaysia.
Keynote Speakers
#IVIT2022 speakers
Prof. Dr. Jenny Zhang Xiuzhen
Professor, Ph.D.,
School of Computing Technologies
RMIT University
GPO Box 2476
Melbourne 3001, Australia
Email: xiuzhen.zhang(at)rmit.edu.au
Research Interests
Data Mining, Text mining, Social network analysis, Sentiment analysis
Best Paper Award, Haibin Zhang, Yan Wang and Xiuzhen Zhang, Efficient Contextual Transaction Trust Computation in E-Commerce Environments, 11th IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom-2012) (acceptance rate: 100/358 = 28%), 25-27 June 2012, Liverpool, UK
- Member ACM SIGKDD, ACM SIGIR
- Guest editor for journals: Complexity, Cognitive Systems Research (Elsevier).
- Member of Program committees for conferences: PAKDD (2015–2018), KDD (2016), ADC (2008–2016), DEXA (2009–2016), IJCAI (2011), DaWak (2008), APWeb (2005, 2007), WAIM (2003, 2007)
- Reviewer for journals: IEEE TKDE, DKE, Computational Intelligence, JASIST
- Member of ACM SIGKDD, ACM SIGIR
Pang, P., McKay D., Chang, S., Chen, Q., Zhang, X., and Cui, L., 2020. Privacy Concerns of the Australian My Health Record: Implications for Other Large-scale Opt-out Personal Health Records. Information Processing & Management. To appear. (SJR Q1)
Malang, K., Wang, S., Phaphuangwittayakul, A., Lv, Y., Yuan, H. and Zhang, X., 2020. Identifying influential nodes of global terrorism network: A comparison for skeleton network extraction. Physica A: Statistical Mechanics and its Applications, 545. (SJR Q1)
Nie, H.R., Zhang, X., Li, M., Dolgun, A. and Baglin, J. October 2020. Modelling users influence and rumor propagation on Twitter using Hawkes processes. In 7th IEEE International Conference on Data Science and Advanced Analytics. Sydney Australia. To appear.
Tian, L., Zhang, X. and Lau, J.H. October 2020. #DemocratsAreDestroyingAmerica: Rumour analysis on Twitter during COVID-19. In 5th International Workshop on Mining Actionable Insights from Social Networks. CEUR-WS.org. To appear.
Duan, X. Naghizade, E., Spina, D. and Zhang, X. RMIT at PAN-CLEF 2020: Profiling fake news spreaders on Twitter. In CLEF 2020 Labs and Workshops, Notebook papers. September 2020. CEUR-WS.org. To appear.
Tian, L., Zhang, X. and Peng, M., 2020, April. FakeFinder: Twitter Fake News Detection on Mobile. In Proceedings of the Web Conference 2020. (CORE A*)
Tian, L., Zhang, X., Wang, Y. and Liu, H., 2020, April. Early detection of rumours on Twitter via stance transfer learning. In European Conference on Information Retrieval (ECIR’20). (CORE A)
Huang, T.D., Zhang, X., Ren, Y. and Peng, M., 2020. Can helpful reviews help answer product questions? In Pacific Asia Conference on Information Systems (PACIS’20). (CORE A)
Scanlon, L., Zhang, S., Zhang, X. and Sanderson, M. 2020. Evaluation of cross domain text summarisation. In Int’l ACM SIGIR Conf. Res. and Dev. Inf. Retrieval (SIGIR2020). (CORE A*)
Zhang, S., Lau, J.H., Zhang, X., Chan, J. and Paris, C., 2020. Less is More: Rejecting Unreliable Reviews for Product Question Answering. In ECML-PKDD 2020. To appear. (CORE A)
2019
Zhang, Shiwei, Jey Han Lau, Xiuzhen Zhang, Jeffrey Chan, and Cecile Paris. ” “Discovering Relevant Reviews for Answering Product-related Queries.” In IEEE ICDM, Beijing, China, 2019. [PDF file] [The source code] [Supplementary material]
Zhang, Shiwei, Xiuzhen Zhang, Jeffrey Chan, and Paolo Rosso. “Irony detection via sentiment-based transfer learning.” Information Processing & Management 56, no. 5 (2019): 1633-1644. [PDF file]
Aladhadh, Suliman, Xiuzhen Zhang, and Mark Sanderson. “Location impact on source and linguistic features for information credibility of social media.” Online Information Review 43, no. 1 (2019): 89-112.
Pourhabibi, Tahereh, Yee Ling Boo, Kok-Leong Ong, Booi Kam, and Xiuzhen Zhang. “Behavioral Analysis of Users for Spammer Detection in a Multiplex Social Network.” In Australasian Conference on Data Mining, pp. 228-240. Springer, Singapore, 2018.
Zhang, Xiuzhen, Shuliang Wang, Gao Cong, and Alfredo Cuzzocrea. “Social Big Data: Mining, Applications, and Beyond.” Complexity 2019 (2019). Editorial.
2018
Peng, Min, Jiahui Zhu, Hua Wang, Xuhui Li, Yanchun Zhang, Xiuzhen Zhang, and Gang Tian. “Mining Event-Oriented Topics in Microblog Stream with Unsupervised Multi-View Hierarchical Embedding.” ACM Transactions on Knowledge Discovery from Data (TKDD) 12, no. 3 (2018): 38.
Liu, H. Wu, L. Zhang, D. Jian, M. and Zhang, X. 2018, ‘Multi-perspective User2Vec: Exploiting re-pin activity for user representation learning in content curation social network’, in Signal Processing, Elsevier BV, Netherlands, vol. 142, pp. 450-456 ISSN: 0165-1684 (SJR Q1)
Chen, Qingyu, Yu Wan, Xiuzhen Zhang, Yang Lei, Justin Zobel, and Karin Verspoor. “Comparative Analysis of Sequence Clustering Methods for Deduplication of Biological Databases.” Journal of Data and Information Quality (JDIQ), Vol. 9, no. 3 (2018): 17
Ali, Kashif, Margaret Hamilton, Charles Thevathayan, and Xiuzhen Zhang. “Big Social Data as a Service: A Service Composition Framework for Social Information Service Analysis.” In International Conference on Web Services, pp. 487-503. Springer, Cham, 2018.
Ali, Kashif, Margaret Hamilton, Charles Thevathayan, and Xiuzhen Zhang. “Social Information Services: A Service Oriented Analysis of Social Media.” In International Conference on Web Services, pp. 263-279. Springer, Cham, 2018.
Goonetilleke, Oshini, Timos Sellis, and Xiuzhen Zhang. “Social-Textual Query Processing on Graph Database Systems.” In Australasian Database Conference, pp. 68-80. Springer, Cham, 2018.
Ali, Kashif, Margaret Hamilton, Charles Thevathayan, and Xiuzhen Zhang. “Meta-Information as a Service: A Big Social Data Analysis Framework.” In PACIS 2018.
Peng, Min, Qianqian Xie, Yanchun Zhang, Hua Wang, Xiuzhen Zhang, Jimin Huang, and Gang Tian. “Neural Sparse Topical Coding.” In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), vol. 1, pp. 2332-2340. 2018.[PDF file]
Wang, Dengbao, Li Li, Jingyuan Wang, Fei Hu, and Xiuzhen Zhang. “Extracting Label Importance Information for Multi-label Classification.” In International Conference on Database Systems for Advanced Applications, pp. 424-439. Springer, Cham, 2018.
Wang, Dengbao, Jingyuan Wang, Fei Hu, Li Li, and Xiuzhen Zhang. “A Locally Adaptive Multi-Label k-Nearest Neighbor Algorithm.” In Pacific-Asia Conference on Knowledge Discovery and Data Mining, pp. 81-93. Springer, Cham, 2018.
Kumar, Dheeraj, Yassien Shaalan, Xiuzhen Zhang, and Jeffrey Chan. “Identifying Singleton Spammers via Spammer Group Detection”. In Proc. PAKDD. 2018.
Shaalan, Yassien, Xiuzhen Zhang, and Jeffrey Chan. “Learning to Rank Items of Minimal Reviews using Weak Supervision”. In Proc. PAKDD. 2018.
2017
Shariff, Shafiza Mohd, Xiuzhen Zhang, and Mark Sanderson. “On the credibility perception of news on Twitter: Readers, topics and features.” Computers in Human Behavior 75 (2017): 785-796. (SJR Q1)
Cui, L., Zhang, X., Qin, A. K., Sellis, T., & Wu, L. (2017). CDS: Collaborative distant supervision for Twitter account classification. Expert Systems with Applications, 83, 94-103. (SJR Q1)
Savage, D., Zhang, X., Chou, P., Yu, X., & Wang, Q. (2017). Distributed Mining of Contrast Patterns. IEEE Transactions on Parallel and Distributed Systems, 28(7), 1881-1890. (SJR Q1)
Zhang, X., Li, Y.,Kotagiri, R.,Wu, L.,Tari, Z.,Cheriet, M. (2017). KRNN: k rare-class nearest neighbor classification In: Pattern Recognition, 62, 33 – 44 (SJR Q1)
Wu, L., Wang, D., Zhang, X., Liu, S., Zhang, L., Chen, C. (2017). MLLDA: multi-level LDA for modelling users on content curation social networks In: Neurocomputing, 236, 73 – 81 (SJR Q1)
Huang, J., Peng, M., Wang, H., Cao, J., Gao, W., & Zhang, X. (2017). A probabilistic method for emerging topic tracking in Microblog stream. World Wide Web, Published online 21 April 2016. DOI: 10.1007/s11280-016-0390-4.
Wu, Lifang, Shuang Liu, Meng Jian, Jiebo Luo, Xiuzhen Zhang, and Mingchao Qi. “Reducing noisy labels in weakly labeled data for visual sentiment analysis.” In Image Processing (ICIP), 2017 IEEE International Conference on, pp. 1322-1326. IEEE, 2017.
Zhang, S. Zhang, X. and Chan, J. 2017. “A word-character convolutional neural network for language-agnostic Twitter sentiment analysis”. ADCS. Brisbane Australia. 7-8 December 2017.
Zhang, S. Zhang, X. and Chan, J. 2017, ‘Language-independent Twitter classification using character-based convolutional networks’, in Advanced Data Mining and Applications: Proceedings of the 13th International Conference 2017, G. Cong, W.-C. Peng, W. E. Zhang, C. Li and A. Sun (ed.), Springer, Cham, Switzerland, pp. 413-428 (ADMA 2017: 13th International Conference on Advanced Data Mining and Applications) (Rank B)
Aladhadh, S. Zhang, X. and Sanderson, M. 2017, ‘Beyond the culture effect on credibility perception on microblogs’, in Social Informatics: Proceedings of the 9th International Conference 2017, G. L. Ciampaglia, A. Mashhadi and T. Yasseri (ed.), Springer, Oxford, United Kingdom, pp. 316-328 (International Conference on Social Informatics) (Rank B)
Naoki Kito, Xiangmin Zhou, Dong Qin, Yongli Ren, Xiuzhen Zhang, James Thom. Change detection from media sharing community. In Proc. APWeb-WAIM 2017: Web and Big Data. LNCS 10366, pp. 391-398. July 07-09 2017. Beijing, China. (Rank B)
Savage, D., Zhang, X., Wang, Q., Yu, X., Chou, P. (2017). Detection of money Laundering groups: supervised learning on small networks. In AAAI-2107 Workshop on AI and OR for Social Good (AIORSocGood-17). San Francisco, USA. Feb 2017.
Chen, Qingyu, Xiuzhen Zhang, Yu Wan, Justin Zobel, and Karin Verspoor. “Sequence Clustering Methods and Completeness of Biological Database Search.” In Proceedings of the Workshop on Advances in Bioinformatics and Artificial Intelligence. 2017.
2016
Lifang Wu, Dan Wang, Xiuzhen Zhang, Shuang Liu, Lei Zhang and Chang-Wen Chen. MLLDA: multi-level LDA for modelling users on content curation social networks. Neurocomputing. Elsevier. Available online 24 November 2016. http://dx.doi.org/10.1016/j.neucom.2016.08.114 (SJR Q1)
Chen, J. Zobel, X. Zhangand K. Verspoor. Supervised learning for detection of duplicates in genomic sequence databases. PLOS One. Published online: August 4, 2016. DOI: http://dx.doi.org/10.1371/journal.pone.0159644
Liu, A. Moffat, T. Baldwin and X. Zhang. Quit while ahead: evaluating truncated rankings. Proc. ACM SIGIR 2016. Pisa, Italy. July 2016. (CORE A*)[PDF file]
M. Shariff, M. Sanderson and X. Zhang. Correlation analysis of reader’s demographics and tweet credibility perception. Proc. ECIR 2016. Padua, Italy. March 2016. (CORE B)
Cui, X. Zhang, F. Salim and X. Zhou. Topical event detection on Twitter. Proc. ADC 2016. Sydney Australia. September 2016. [PDF file]
Cui, X. Zhang, D. D’Souza and A. Kimpton. Automatic labeling of topics via analysis via Analyis of user comments. Proc. ADC 2016. Sydney Australia. September 2016. [PDF file]
Shaalan and X. Zhang. A time and opinion quality-weighted model for aggregating online riviews. Proc. ADC 2016. Sydney Australia. September 2016.
Lifang Wu, Dai Zhang, Xiuzhen Zhang, Yuchen Jing, Haiying Liu, Chang Wen Chen. Recommending followees based on content weighted user interest homophily. Proc. International Conference on Internet Multimedia Computing and Service (ICIMCS’16), Pages 146-151. Xi’an, China. August 19-21, 2016. DOI: https://doi.org/10.1145/3007669.3007692.
Wang, Qingmai, Xinghuo Yu, Pauline Chou, David Savage, Xiuzhen Zhang, and Jiangxia Zhong. “Power usage spike detection using smart meter data for load profiling.” In Industrial Electronics (ISIE), 2016 IEEE 25th International Symposium on, pp. 732-737. IEEE, 2016.
Media coverage. New Scientist (Technology news 17 August 2016): https://www.newscientist.com/article/mg23130871-300-australian-ai-spots-dodgy-deals-that-look-like-money-laundering/
2015
Savage, X. Zhang, X. Yu, P. Chou, and Q. Wang. Detection of opinion spam based on anomalous rating deviation. Expert Systems with Applications, Pergamon Press, United Kingdom, vol. 42, no. 22, pp. 8650-8657 ISSN: 0957-4174. 2015. (SJR Q1)
Zhang, Y. Wang, X. Zhangand E-P Lim. ReputationPro: the efficient approaches to contextual transaction trust computation in E-commerce environments. In ACM Transactions on the Web. Vol. 9, No. 1, article 2, 49 pages, 2015. (SJR Q1)
Jing, L. Wu, X. Zhang, D. Wang and C. Chen. Recommending users to follow based on user taste homophily for content curation social networks. In Proceedings of 6th International Workshop on Social Recommender Systems (SRS 2015), co-located with KDD 2015. Sydney Australia. 10 Aug 2015.
R. Hesabi, T. Sellis, and X. Zhang. Any time concurrent clustering of multiple streams with an indexing tree. In Proceedings of the 4th International Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications, pp. 19–32, 2015.
Goonetilleke, S. Sathe, T. Sellis, and X. Zhang. Microblogging queries on graph databases: an introspection. In Proceedings of the 3rd International Workshop on Graph Data Management Experiences and Systems (GRADES 2015), Association for Computing Machinery, New York, United States, pp. 1-6. 2015.
N.R. Sabar, X. Zhang, and A. Song. A math-hyper-heuristic approach for large-scale vehicle routing problems with time windows. In Proc. of IEEE Congress on Evolutionary Computation (CEC), pp.830-837, 25-28 May 2015. DOI: 10.1109/CEC.2015.7256977
2014
Goonetilleke, T. Sellis. X. Zhang, and S. Sathe. Twitter analytics: a big data management perspective. In SIGKDD Explorations. Vol. 16. Issue No 1. June 2014.
Savage, X. Zhang, X. Yu, P.Chou and Q. Wang. Anomaly detection in online social networks. In Social Networks. 39:62-70. 2014. Available online: http://www.sciencedirect.com/science/article/pii/S0378873314000331DOI: 10.1016/j.socnet.2014.05.002 (SJR Q1)
Zhang, L. Cui, and Y. Wang. CommTrust: Computing multi-dimensional trust by mining E-commerce feedback comments. In IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE).26(7): 1631—1643. July 2014. (SJR Q1) DOI bookmark: http://doi.ieeecomputersociety.org/10.1109/TKDE.2013.177
Zhang, Y. Wang, and X. Zhang. The approaches to contextual transaction trust computation in E-commerce environments. Security and Communication Networks. Vol 7: 1331-1351. 2014. DOI Bookmark:http://onlinelibrary.wiley.com/doi/10.1002/sec.839/pdf(SJR Q3)
Wu, G. Yu, X. Yuan, X. Zhang, L. Cao. Semantic aware sport image resizing jointly using seam carving and warping. In Multimedia Tools and Applications. 70(2):721-739. Springer. 2014. (SJR Q2)
Aladhadh, X. Zhangand M. Sanderson. Tweet author location impacts on Tweet credibility. The 19th Australasian Document Computing Symposium (ADCS 2014). Melbourne, Australia. 27—28 November 2014. (Local conference)
S. Husin, J. Thom and X. Zhang. Analysing user access to an online newspaper. The 19th Australasian Document Computing Symposium (ADCS 2014). Melbourne Autralia. 27—28 November 2014. (Local conference)
Zhou, X. Zhangand M. Sanderson. Sentiment analysis on Twitter through domain-specific lexicon expansion. In Proc. of the 25thAustralasian Database Conference (ADC 2014). Brisbane, Australia. 14—16 July 2014. (Local conference)[PDF file
Jing, X. Zhang, and L.F. Wu. Recommendation for communities on Flickr combining user ratings and item importance. In IEEE International Conference on Multimedia and Expo (ICME 2014), pp. 1-6. Chengdu, China. 14-18 July 2014. DOI: 10.1109/ICME.2014.6890130
URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6890130&isnumber=6890121
Song, J. Ji, C. Yang and X. Zhang. Ant colony clustering based on sampling for community detection. In 2014 IEEE Congress on Evolutionary Computation (CEC 2014), pp. 687—692. Beijing, China. 6-11 July 2014. ((CORE2014 B) DOI: 10.1109/CEC.2014.690036 URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6900367&isnumber=6900223
M. Shariff, X. Zhangand M. Sanderson. User perception of information credibility of news on Twitter. In Proc. of 36thEuropean Conference on Information Retrieval (ECIR 2014). LNCS 8416. Amsterdam. 13–16 Apr, 2014. Available online: http://www.springer.com/computer/database+management+%26+information+retrieval/book/978-3-319-06027-9
Before 2014
Scholarly books/Scholarly book chapters
Wang, X. Yu and X. Zhang. A connectionist model-based approach to centrality discovery in social networks. In Behaviour and Social Computing. LNAI 8178. pp. 82-94. ISBN: 978-3-319-04047-9 (Print) 978-3-319-04048-6 (Online). 2013.
X. Zhang, and G. Dong. Overview and analysis of contrast pattern-based classification. In Contrast Data Mining: Concepts, Algorithms and Applications, Chapman and Hall/CRC, Florida, US, pp. 151-170 ISBN: 9781439854327. 2013.
Zhang and Y. Li. A positive-biased nearest neighbor algorithm for imbalanced classification. The Proc. 17th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2013). LNCS vol. 7819. Pp293—304. ISSN: 0302-9743. Gold Coast, Australia. 14-17 April, 2013.
Cui, X. Zhang, Y. Wang and L. Wu. Mining E-commerce feedback comments for dimension rating profiles. The 9th International Conference on Advanced Data Mining and Applications (ADMA-2013). Zhejiang China. LNCS. Dec 2013. (ERA2010 Rank B)
Zhang, Y. Wang and X. Zhang. A trust vector approach to transaction context-aware trust evaluation in E-commerce and E-service environments. The 5th IEEE International Conference on Service-oriented Computing and Applications (SOCA 2012). Taipei, Taiwan. 17-19 December 2012.
Zhang, Y. Zhou. J. Bailey and K. Ramamohanarao. Sentiment analysis by augmenting expectation maximization with lexical knowledge. The 13thInternational’s Conference on Web Information Systems Engineering (WISE 2012). Paphos, Cyprus. 28-30 November. 2012.
Zhang, Y. Wang and X. Zhang. Efficient contextual transaction trust computation in E-commerce environments. In Proc. of the 11thIn’l Conf. on Trust, Security and Privacy in Computing and Communications (TrustCom’12). Liverpool, UK. June 2012. Best Paper Award.
Zhou, X. Zhangand P. Vines. Sentiment classification of blog posts using topical extracts. In Proc. of the 23rdAustralasian Database Conference (ADC’2012), pp. 71-80. Melbourne, Australia. January 2012.
Zhangand Y. Zhou. Holistic approaches to identifying the sentiment of blogs using opinion words. In Proc. of the 12thInternational Conference on Web Information Systems Engineering (WISE’2011), pp. 15—28. Sydney Australia. October 2011.
Riazati, J. Thom and X. Zhang. Enforcing strictness in integration of dimensions: beyond instance Matching. In Proc. of the 14thACM International Workshop On Data Warehousing and OLAP (DOLAP’2011), pp. 9-16. Glasgow, Scotland, UK. October 2011.
Zhang, Y. Wang, X. Zhang: Transaction similarity-based contextual trust evaluation in e-commerce and e-service environments. In Proc. of the 9th IEEE International Conference on Web Services (ICWS’2011), pp. 500-507. Washington DC, USA. July 2011.
Li and X. Zhang. Improving knearest neighbour with exemplar generalization for imbalanced classification. In Proc. of the 15th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD’2011), Part II, LNAI 6635, pp. 321—332. Shenzhen China. May 2011.
Zhang and Y. Li. An empirical study of learning from imbalanced data. In Proc. of the 22ndAustralasian Database Conference (ADC’2011), pp. 85—94. Perth Australia. Jan 2011.
Zhou, X. Zhangand P. Vines. Seeing the forest from trees: blog retrieval by aggregating post similarity scores. In Proc. of the fifteenth Australasian Document Computing Symposium (ADCS’2010), pp. 12—19. Melbourne Australia. Dec 2010.
Riazati and J. Thom and X. Zhang. Inferring aggregation hierarchies for integration of data marts. In Proc. of the 21th International Conference on Database and Expert Systems Applications (DEXA’ 2010), LNCS 6262, pp. 96—110. Bilbao, Spain, 30 Aug – 3 Sep, 2010.
Zhangand Z. Zhou and M. Wu. Positive, negative, or mixed? Mining blogs for opinions. In Proc. of the 14th Australasian Document Computing Symposium (ADCS’2009), pp.141-144. Sydney, Australia. Dec 2009, Best Short Paper Award.
Pang, X. Zhang, Y. Zhang and K. Ramamohanarao. The efficient maintenance of access roles with role hiding. In Proc. of the 14th International Conference on Management of Data (COMAD’2008), pp. 139-149. Mumbai, India. December 2008.
Riazati, J. Thom and X. Zhang. Drill-across and visualization of cubes with non-confirmed dimensions. In Proc. ofthe 19th Australasian Database Conference (ADC’2008), pp.85-93. Wollonggong, Australia, 22-25 Jan 2008.
Zhang, X. Zhangand M. Gu. Predicting defective software components from code complexity measures. In Proc. of the 13th IEEE Pacific Rim Dependable Computing conference, Melbourne, Australia. IEEE Press, pp. 93-96. 17-19 December 2007.
Han, X. Zhang, R. S. Norton and Z.-P. Feng. Reducing overfitting in predicting intrinsically unstructured proteins. In Proc. of the 11th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD’2007), LNAI 4426, pp. 515-522. Nanjing, China, May 2007.
Stewart and X. Zhang. Building a disordered protein database: a case study in managing biological data. In Proc. of the 18th Australasian Database Conference (ADC’2007), pp. 151-160. Ballarat, Australia, Jan 2007.
Zhang and P. Chou. Multiway pruing for efficient iceberg cube computation. In Proc. 17th Int’l Conf. on Database and Expert Systems Applications (DEXA 2006), LNCS 4080, pp.203–212. Krakow Poland, Sep 2006.
Zhang, P. Chou and K. Ramamohanarao. Computing iceberg quotient cubes with bounding. In Proc. 8th Int’l Conf. on Data Warehousing and Knowledge Discovery (DaWak 2006), LNCS 4081, pp. 145–154. Krakow Poland, Sep 2006.
Han, X. Zhang, Z. Feng and R. S. Norton. Predicting intrinsically unstructured proteins based on amino acid composition. In S.J. Simoff, G.J. Williams, J. Galloway and I. Kolyshina editors, Proc. 4th Australasian Data Mining Conference, pp. 131—140. Sydney, Australia, Dec 2005.
Chou and X. Zhang. Muti-way iceberg cubing on trees. In A.H.H. Ngu, M. Kitsuregawa, E.J. Neuhold, J.-Y. Chung and Q.Z. Sheng editors, Proc. 6th Int’l conference on Web Information Systems Engineering (WISE 2005), LNCS 3806, pp. 620—622. New York, USA, Nov 2005.
Chou and X Zhang. Computing complex iceberg cubes by multiway aggregation and bounding. In Proc. 6th Int. Conf. Data Warehousing and Knowledge Discovery (DaWak 2004), LNCS 3181, pp. 108—117. Zaragoza Spain, September 2004.
Pang, K. Taylor, X. Zhangand M. Cameron. Generating multidimensional schemata from relational aggregation queries. In X. Zhou, S. Su, M.P. Papazoglou, M.E. Orlowska, K.G. Jeffery editors, Proc. 5thInternational Conf. on Web Systems Engineering (WISE 2004), pp. 584—589. Brisbane Australia, Nov 2004.
Sun and X. Zhang. Efficient frequent pattern mining on Web logs. In J.X. Yu, X. Lin, H. Lu, and Y. Zhang editors, Proc. 6th Asia Pacific Web Conference (APWeb 2004), LNCS 3007, pp. 533—542. Hangzhou China, April 2004.
Sun, X. Zhang, and K. Ramamohanarao. The noise tolerance of EP-based classifiers. In T.D. Gedeon and L.C.C. Fung editors, Proc. 16thAustralian Conference on Artificial Ingelligence( AI 2003), LNAI 2903, 796—806. Perth Australia, December 2003.
Chou and X. Zhang. Efficiently computing iceberg cubes with complex constraints through bounding. In K.-Y. Whang, J. Jeon, K. Shim, and J. Srivastava editors, Proc. 7th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2003), LNAI 2637, pp. 423—429. Seoul Korea, Apr 2003.
Chou and X. Zhang. Efficiently computing the top N averages in iceberg cubes. In M.J. Oudshoorn editors, Proc. 26th Australasian Computer Science Conference (ACSC 2003), pp. 101—109. Adelaide Australia, Feb 2003.
X Zhang, G Dong, and K Ramamohanarao. Building Behaviour Knowledge Space to Make Classification Decision. In D. Cheung, G.J. Williams, and Q. Li editors, Proc. of 5th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2001), LNAI 2035, pp. 488—494. Hong Kong, 2001.
X Zhang, G Dong, and K Ramamohanarao. Information-based Classification by Aggregating Emerging Patterns. In Proc. of the 2nd International Conference on Intelligent Data Engineering and Automated Learning (IDEAL 2000), LNCS 1983, pages 48-53, Hong Kong China, December 2000.
X Zhang, G Dong, and K Ramamohanarao. Exploring constraints to efficiently mine emerging patterns from large high-dimensional datasets. In Proc. of the 6th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2000), pages 310-314, Boston, USA, August 2000.
G Dong, X Zhang, L Wong and J Li. CAEP: Classification by aggregating emerging patterns. In Proc. of the 2nd International Conference on Discovery Science (DS 99), LNAI 1721, pages 30-42, Tokyo, Japan, December 1999.
J Li, X Zhang, G Dong, K Ramamohanarao, and Q Sun. Efficient Mining of High Confidence Association Rules without Support Thresholds. In Proc. of 3rd European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD 1999), Prague, Czech Republic, September 1999.
G Dong, J Li, and X Zhang. Discovering jumping emerging patterns and experiments on real datasets. In Proc. of 9th International Database Conference (IDC’99), Hong Kong, July 1999.
X. Zhang and J. Fong. A distributed object database’s basic design issues. International Hong Kong Computer Society Database Workshop, pp. 324–330, Hong Kong, Apr 1996.
Dong, X. Zhang, J. Li and L. Wong. Method and apparatus for classification of data by aggregating emerging patterns. United States Patent Number 6,507,843. Date Issued: January 14, 2003.