Xiuzhen Zhang: Research

Refereed Journal Papers

Pengfei Han, Xiuzhen Zhang and Zhi-Ping Feng. Predicting disordered regions in proteins using the profiles of amino acid indices. BMC Bioinformatics 2009, 10 (Suppl 1): S43. 30 Jan 2009.

Pengfei Han, Xiuzhen Zhang, Raymond S Norton and Zhi-Ping Feng. Large-scale prediction of long disordered regions in proteins using random forests. BMC Bioinformatics 2009. 10:8. 07 Jan 2009. doi: 10.1186/1471-2105-10-8.

H. Zhang and X. Zhang. Comments on "Data Mining Static Code Attributes to Learn Defect Predictors". In IEEE Transactions on Software Engeineering. 33(9):635--636. September 2007.

X. Zhang, P. L. Chou and G. Dong. Efficient computation of iceberg cubes by bounding aggregate functions. In IEEE Transactions on Knowledge and Data Engineering. 19(7):903--918, July 2007.

P. Han, X. Zhang, R. Norton and Z.-P. Feng. Predicting disordered regions in proteins based on decision trees of reduced amino acidcomposition. Journal of Computational Biology. 13(9):1579--1590. 2006.

Z.-P. Feng, X. Zhang, P. Han, N. Arora, R. F. Anders, and R. S. Norton. The abundance of IUPs in the Malarial Proteome. Molecular and Biochemical Parasitology. 150, 256--267. 2006.

X. Zhang and J. Fong. Translating update operations from relational to object-oriented databases. Information and Software Technology, 42(3): 197-210, 2000.

X. Zhang, Y. Zhang, J. Fong and X. Jia. Transforming RDB schema into well-structured OODB schema. Information and Software Technology, 41(5): 275-281, 1999.

Refereed Conference Papers

2010

D. Riazati and J.A. Thom and X. Zhang. Inferring Aggregation Hierarchies For Integration of Data Marts. To appear in DEXA’10. 2010.

2009

X. Zhang and Z. Zhou and M. Wu. Positive, Negative, or Mixed? Mining Blogs for Opinions. The Fourteenth Australasian Document Computing Symposium (ADCS2009), Sydney, Australia. Dec 2009, pp.141-144. (Best Short Paper award).

2008

Chaoyi Pang, Xiuzhen Zhang, Yanchun Zhang and Kotagiri 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. Computer Society of India / Allied Publishers 2008, ISBN 978-81-8424-370-3. IIT Bombay, Mumbai, India. December 17--19, 2008.

D. Riazati, J. Thom and X. Zhang. Drill-across and visualization of cubes with non-confirmed dimensions. In Proc. 19th Australasian Database Conference (ADC'2008), pp.85--93. Wollonggong, Australia, 22--25 Jan 2008.

2007

H. Zhang, X. Zhang and M. Gu. Predicting Defective Software Components from Code Complexity Measures. In Proc. 13th IEEE Pacific Rim Dependable Computing conference, Melbourne, Australia. IEEE Press, pp. 93--96. 17--19 December 2007.

P. Han, X. Zhang, R. S. Norton and Z.-P. Feng. Reducing overfitting in predicting intrinsically unstructured proteins. In Proc. the 11th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'2007), LNAI 4426, pp. 515--522. Nanjing, China, May 2007.

A. Stewart and X. Zhang. Building a disordered protein database: a case study in managing biological data. In Australasian Database Conference (ADC'2007), pp. 151--160. Ballarat, Australia, Jan 2007.

2006

X. Zhang and L. 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.

X. Zhang, L. 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.

2005

P. 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.

L. 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.

2004

L. Chou and X Zhang. Computing complex iceberg cubes by multiway aggregation and bounding. In Y. Kambayashi, M. Mohania, W. Wöß editors, Proc. 6th Int. Conf. Data Warehousing and Knowledge Discovery (DaWak 2004), LNCS 3181, pp. 108—117. Zaragoza Spain, September 2004.

C. Pang, K. Taylor, X. Zhang and 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. 5^th Int’l Conf. on Web Systems Engineering (WISE 2004), pp. 584—589. Brisbane Australia, Nov 2004.

L. 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.

2003

Q. Sun, X. Zhang, and K. Ramamohanarao. The noise tolerance of EP-based classifiers. In T.D. Gedeon and L.C.C. Fung editors, Proc. 16^th Australian Conference on Artificial Ingelligence( AI 2003), LNAI 2903, 796—806. Perth Australia, December 2003.

L. 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.

L. 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.

2001

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 5^th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2001), LNAI 2035, pp. 488—494. Hong Kong, 2001.

2000

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.
ConsEPMiner.ps.gz

X Zhang and J Fong. Translating updatae operations from relational to object-oriented databases. Information and Software Technology, 42(3): 197-210, 2000.

1999

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, Y Zhang, J Fong and X Jia. Transforming RDB schema into well-structured OODB schema. Information and Software Technology, 41(5): 275-281, 1999.

1996

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.

Publications in Chinese

C. Liu, X. Zhang, K. Yang, Y. Tao, and Z. Wang. A multi-domain CLP system and its partial deduction. Journal of Software, 863 special issue:303—309, October 1997.

X. Zhang and C. Liu. An algorithm for incremental linear arithmetic constraint solving. Journal of Software, 863 special issue:295—302, October 1996.

X. Zhang and C. Liu. Synchronization of the inference engine with the constraint solver in a CLP system. Journal of Software, 7(7):415—421, July 1996.

X. Zhang and C. Liu. The partial deduction of CLP(R) programs. Computer Research and Development, 33(5):347—354, May 1996.

Patent

G. 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 2003.

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