Guozhu Dong's Publications

Note: If you cannot find a recent paper here, please try to find them from the webpages of my coauthors who may do a better job maintaining their webpages: James Bailey, Jiawei Han, Rao Kotagiri, Jinyan Li, Qing Li, Leonid Libkin, Jian Pei, Jianwen Su, Ke Wang, Limsoon Wong, Xiuzhen Zhang. If you cannot find them there, please email me at guozhu.dong at wright edu.

Books

1.      Guozhu Dong and James Bailey (editors). Contrast Data Mining: Concepts, Algorithms and Applications. Chapman & Hall/CRC (Data Mining and Knowledge Discovery Series), September 2012.

2.      Guozhu Dong and Jian Pei. Sequence Data Mining , Springer. August 2007.

3.      Guozhu Dong, Xuemin Lin, Wei Wang, Yun Yang, Jeffrey Yu (editors). Advances in Data and Web Management: Proceedings of the Joint International ApWeb/WAIM Conference on Web-Age Information Management , Lecture Notes in Computer Science, Springer. 2007.

4.      Guozhu Dong, Changjie Tang, and Wei Wang (editors). Proceedings of the 4th International Conference on Web-Age Information Management (WAIM) , Lecture Notes in Computer Science 2762, Springer Verlag. 2003.

Tutorials

5.     Tutorial slides: Contrast Data Mining: Methods and Applications (delivered at 2007 IEEE ICDM, by James Bailey and Guozhu Dong).

Papers                                                                                                                                              

 

6.      Xianming Wang, Lei Duan, Guozhu Dong, Zhonghua Yu, Changjie Tang. Mining Density-Aware Distinguishing Sequential Patterns with Gap Constraints. The 19th International Conference on Database Systems for Advanced Applications (DASFAA), April 2014. Bali, Indonesia.

7.      Guozhu Dong and Qian Han. Mining Diversified Shared Decision Tree Sets for Discovering Cross Domain Similarities. Pacific Asia Conference on Knowledge Discovery From Data (PAKDD) 2014.

8.      Lei Duan, Guanting Tang, Jian Pei, James Balley, Guozhu Dong, Akiko Campbell, Changjie Tang. Mining Contrast Subspaces. Pacific Asia Conference on Knowledge Discovery From Data (PAKDD) 2014. Winner of Best Paper Award.

9.      Jian Pei, James Bailey, Guangting Tang, and Guozhu Dong. Mining Multidimensional Contextual Outliers from Categorical Relational Data. In 25th International Conference on Scientific and Statistical Database Management (SSDBM), 2013.

10.  Guozhu Dong and Qian Han: Mining Accurate Shared Decision Trees from Microarray Gene Expression Data for Different Cancers. The 14th International Conference on Bioinformatics and Computational Biology (BIOCOMP’13). July 22-25, 2013, Las Vegas, USA.

11.  Amit Joshi, Pascal Hitzler and Guozhu Dong. Logical Linked Data Compression. ESWC 2013 (Semantics and Big Data). Montpellier, France. May 26th, 2013 to May 30th, 2013.

12.  Lei Duan, Changjie Tang, Xiaosong Li, Guozhu Dong, Xianming Wang, Jie Zuo, Min Jiang, Zhongqi Li, Yongqing Zhang. Mining Effective Multi-Segment Sliding Window for Pathogen Incidence Rate Prediction. Data & Knowledge Engineering. Volume 87, Pages 425–444, September 2013.

13.  Guozhu Dong. Preliminaries. Chapter 1, Contrast Data Mining: Concepts, Algorithms and Applications, Guozhu Dong and James Bailey (editors). Chapman & Hall/CRC (Data Mining and Knowledge Discovery Series), September 2012.

14.  Mengling Feng and Guozhu Dong. Incremental Maintenance of Emerging Patterns. Chapter 7, Contrast Data Mining: Concepts, Algorithms and Applications, Guozhu Dong and James Bailey (editors). Chapman & Hall/CRC (Data Mining and Knowledge Discovery Series), September 2012.

15.  Lei Duan, Milton Garcia Borroto, and Guozhu Dong More Expressive Contrast Patterns and Their Mining. Chapter 8, Contrast Data Mining: Concepts, Algorithms and Applications, Guozhu Dong and James Bailey (editors). Chapman & Hall/CRC (Data Mining and Knowledge Discovery Series), September 2012.

16.  Xiuzhen Zhang and Guozhu Dong. Overview and Analysis of Contrast Pattern Based Classification. Chapter 11, Contrast Data Mining: Concepts, Algorithms and Applications, Guozhu Dong and James Bailey (editors). Chapman & Hall/CRC (Data Mining and Knowledge Discovery Series), September 2012.

17.  Lijun Chen and Guozhu Dong. Using Emerging Patterns in Outlier and Rare-Class Prediction. Chapter 12, Contrast Data Mining: Concepts, Algorithms and Applications, Guozhu Dong and James Bailey (editors). Chapman & Hall/CRC (Data Mining and Knowledge Discovery Series), September 2012.

18.  Guozhu Dong and Kotagiri Ramamohanarao. Enhancing Traditional Classifiers Using Emerging Patterns. Chapter 13, Contrast Data Mining: Concepts, Algorithms and Applications, Guozhu Dong and James Bailey (editors). Chapman & Hall/CRC (Data Mining and Knowledge Discovery Series), September 2012.

19.  Neil Fore and Guozhu Dong. CPC: A Contrast Pattern Based Clustering Algorithm. Chapter 14, Contrast Data Mining: Concepts, Algorithms and Applications,Guozhu Dong and James Bailey (editors). Chapman & Hall/CRC (Data Mining and Knowledge Discovery Series), September 2012.

20.  Shihong Mao and Guozhu Dong. Discriminating Gene Transfer and Microarray Concordance Analysis. Chapter 16, Contrast Data Mining: Concepts, Algorithms and Applications, Guozhu Dong and James Bailey (editors). Chapman & Hall/CRC (Data Mining and Knowledge Discovery Series), September 2012.

21.  Shihong Mao and Guozhu Dong. Towards Mining Optimal Emerging Patterns Amidst 1000s of Genes. Chapter 17, Contrast Data Mining: Concepts, Algorithms and Applications, Guozhu Dong and James Bailey (editors). Chapman & Hall/CRC (Data Mining and Knowledge Discovery Series), September 2012.

22.  Guozhu Dong. Overview of Results on Contrast Mining and Applications. Chapter 25, Contrast Data Mining: Concepts, Algorithms and Applications, Guozhu Dong and James Bailey (editors). Chapman & Hall/CRC (Data Mining and Knowledge Discovery Series), September 2012.

23.  Gang Kou, Yong Shi, Guozhu Dong. Editorial: Data mining for software trustworthiness.Information Sciences: an International Journal. Vol 191, pp 1-2, 2012.

24.  Guozhu Dong. Cross Domain Similarity Mining: Research Issues and Potential Applications Including Supporting Research by Analogy. ACM SIGKDD Explorations. June 2012.

25.  Qian Han and Guozhu Dong. Using Attribute Behavior Diversity to Build Accurate Decision Tree Committees for Microarray Data. Journal of Bioinformatics and Computational Biology. Volume 10, Issue 4, 2012.

26.  Lei Duan, Changjie Tang, Guozhu Dong, Nin Yang, Chi Gou. Survey of Emerging Pattern based Contrast Mining and Applications. Journal of Computer Applications, 32(2):304–308, 2012.

27.Qingbao Liu, Guozhu Dong. CPCQ: Contrast Pattern based Clustering Quality Index for Categorical Data. Pattern Recognition. pp. 1739 – 1748, volume 45, issue 4, 2012.

28.  Guozhu Dong and James Bailey. Overview of Contrast Data Mining as a Field and Preview of an Upcoming Book. International Workshop on Contrast Data Mining and Applications. December 2011. Collocated with ICDM 2011.

29.  Qingbao Liu, Wanjun Wang, Su Deng, Guozhu Dong. An Equivalence Class Based Clustering Algorithm for Categorical Data. Pages 127-130. International Conference on Advances in Information Mining and Management (IMMM). October 23-28, 2011 - Barcelona, Spain.

30.  Guozhu Dong and Neil Fore. Discovering Dynamic Logical Blog Communities Based on Their Distinct Interest Profiles.  Pages 24-30. International Conference on Social Eco-Informatics (SOTICS). October 23-29, 2011 - Barcelona, Spain.

31.  Eric Bae, James Bailey, Guozhu Dong. A Clustering Comparison Measure Using Density Profiles and its Application to the Discovery of Alternate Clusterings. Data mining and knowledge discovery. Volume 21, Issue 3 (2010). 

32.  Mengling Feng, Guozhu Dong, Jinyan Li, Yap-Peng Tan, Limsoon Wong. Pattern Space Maintenance for Data Updates and Interactive Mining. Computational Intelligence. Volume 26, Issue 3,  pages 282–317, August 2010.

33.  James Bailey, Guozhu Dong, Anthony Widjaja To. Logical queries over views: Decidability and expressiveness.  ACM Transactions on Computational Logic. 11(2): 2010.

34.  Guozhu Dong and Ting Sa. Analyzing and Tracking Weblog Communities Using Discriminative Collection Representatives. International Conference on Social Computing, Behavioral Modeling, & Prediction, 2010.

35.  Guozhu Dong, Lei Duan, Changjie Tang. Mining Disease State Converters for Medical Intervention of Diseases. Journal of Bioinformatics and Computational Biology. Volume 8, Issue 1, 2010.

36.  Qingbao Liu and Guozhu Dong. A Contrast Pattern based Clustering Quality Index for Categorical Data. Proc IEEE ICDM 2009.

37.  Shihong Mao, Chalres Wang, Guozhu Dong. Evaluation of Inter Laboratory and Cross Platform Concordance of DNA Microarrays through Discriminating Genes and Classifier Transferability. Journal of Bioinformatics and Computational Biology. Page 157 - 173, Vol 7, Issue 1, February, 2009. 

38.  Guozhu Dong, Jinyan Li, Guimei Liu, Limsoon Wong. Mining Conditional Contrast Patterns. Book chapter in: Post-Mining of Association Rules: Techniques for Effective Knowledge Extraction. Editors: Yanchang Zhao, Chengqi Zhang and Longbing Cao. IGI Global. 2009.

39.  Mengling Feng, Jinyan Li, Guozhu Dong, Limsoon Wong. Maintenance of Frequent Patterns: A Survey. Book chapter in: Post-Mining of Association Rules: Techniques for Effective Knowledge Extraction. Editors: Yanchang Zhao, Chengqi Zhang and Longbing Cao. IGI Global. 2009.

40.  Guozhu Dong, Jianwen Su. Incremental Computation of Queries. Encyclopedia of Database Systems. M. Tamer Ozsu and Ling Liu, Editors-in-Chief. Springer. 2009.

41.  Guozhu Dong, Jinyan Li. Emerging Patterns. Encyclopedia of Database Systems. M. Tamer Ozsu and Ling Liu, Editors-in-Chief. Springer. 2009.

42.  Guozhu Dong, Jinyan Li: Emerging Pattern Based Classification. Encyclopedia of Database Systems, Edited by Ling Liu and Tamer M. Ozsu. 2009.

43.  Guozhu Dong, Jinyan Li: Applications of Emerging Patterns for Microarray Gene Expression Data Analysis. Encyclopedia of Database Systems, Edited by Ling Liu and Tamer M. Ozsu. 2009.

44.  Liping Wang, Qing Li, Guozhu Dong and Yu Li. Semantic Knowledge Facilities for a Web-based Recipe Database System Supporting Personalization. In: Special issue on Semantics, Knowledge and Web, Concurrency and Computation: Practice and Experience. 20(7): 753-782, 2008.

45.  Liping Wang, Qing Li, Na Li, Guozhu Dong, Yu Yang. Substructure Similarity Search in Chinese Recipes. WWW 2008: 979-988.

46.  Zhengzheng Xing, Jian Pei, Guozhu Dong, Philip S. Yu. Mining Sequence Classifiers for Early Prediction. SIAM SDM 2008.

47.  Xiuzhen Zhang, Pauline LienHua Chou, and Guozhu Dong. Efficient computation of iceberg cubes by bounding aggregate functions. IEEE TKDE, 19(7): 903-918 (2007).

48.  Mengling Feng, Guozhu Dong, Jinyan Li, Yap-Peng Tan, Limsoon Wong. Evolution and Maintenance of Frequent Pattern Space When Transactions Are Removed. Proceedings of PAKDD (Pacific Asia Conference on Knowledge Discovery From Data) 2007.

49.  Xiaonan Ji, James Bailey, Guozhu Dong. Mining Minimal Distinguishing Subsequence Patterns with Gap Constraints. Knowledge and Information Systems, Vol 11, No 3, pp.259-296, April 2007.

50.  Eric Kyoo Han Bae, James Bailey and Guozhu Dong. Clustering Similarity Comparison Using Density Profiles. Proceedings of the 19th Australian Joint Conference on Artificial Intelligence. Hobart, Tasmania, 2006.

51.  Yixin Chen, Guozhu Dong, Jiawei Han, Jian Pei, Benjamin W. Wah, Jianyong Wang. Regression Cubes with Lossless Compression and Aggregation. IEEE Transactions on Knowledge and Data Engineering, VOL. 18, NO. 12, DECEMBER 2006.

52.  J. Li, H. Li, L. Wong, J. Pei, and G. Dong. "Minimum Description Length (MDL) Principle: Generators Are Preferable to Closed Patterns". In Proceedings of the 21st National Conference on Artificial Intelligence (AAAI'06), Boston, MA, USA, July 16-20, 2006.

53.  Lijun Chen and Guozhu Dong. Succinct and Informative Cluster Descriptions for Document Repositories. International Conference on Web-Age Information Management, 2006. (Proceedings published by Springer LNCS Series.)

54.Lijun Chen, Guozhu Dong. Masquerader Detection Using OCLEP: One-Class Classification Using Length Statistics of Emerging Patterns. International Workshop on INformation Processing over Evolving Networks (WINPEN), 2006. (Proceedings published by IEEE.)

55.  Guozhu Dong, Chunyu Jiang, Jian Pei, Jinyan Li, and Limsoon Wong. Mining Succinct Systems of Minimal Generators of Formal Concepts. Proceedings International Conference on Database Systems for Advanced Applications (DASFAA), pages 175-187, 2005.

56.  Xiaonan Ji, James Bailey, Guozhu Dong: Mining Minimal Distinguishing Subsequence Patterns with Gap Constraints. ICDM 2005: 194-201. Best Research Paper Award.

57.  Shihong Mao and Guozhu Dong. Discovery of Highly Differentiative Gene Groups from Microarray Gene Data. Journal of Bioinformatics and Computational Biology. pp 1263-1280, Vol. 3, No. 6, December 2005.

58.  Jiawei Han, Yixin Chen, Guozhu Dong, Jian Pei, BenjaminWah, JianyongWang, Y. Dora Cai. Stream Cube: An Architecture for Multi-Dimensional Analysis of Data Streams. 18(2): 173-197, Parallel and Distributed Databases, 2005.

59.  Chaoyi Pang, Guozhu Dong, Ramamohanarao Kotagiri. Incremental Maintenance of Shortest Distance and Transitive Closure in First-Order Logic and SQL. Vol 30 (3), Pages 698-721. ACM Transactions on Database Systems (TODS), 2005.

60.  Guozhu Dong, and Jinyan Li. Mining Border Descriptions of Emerging Patterns from Dataset Pairs. Knowledge and Information Systems. Volume 8, Number 2, Pages 178-202, August 2005.

61.  Lusheng Wang, Hao Zhao, Guozhu Dong, Jianping Li. On the complexity of finding emerging patterns. Theoretical Computer Science. 335(1): 15-27, 2005.

62.  Ke Wang, Yuelong Jiang, Jeffrey Xu Yu, Guozhu Dong, and Jiawei Han. Divide and Approximate: Constraint Push Approach to Iceberg Cube Mining. IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol. 17, No. 3, March 2005.

63.  Guozhu Dong, Jiawei Han, Joyce Lam, Jian Pei, Ke Wang, Wei Zou. Mining Constrained Gradients in Multi-Dimensional Databases. IEEE Transactions on Knowledge and Data Engineering (TKDE). pp 922-938, Vol 16, No 8. 2004.

64.  J. Bailey, G. Dong and K. Rammamohanarao, On the decidability of the termination problem of active database systems. Theoretical Computer Science 311(1-3): 389-437 (2004).

65.  Jinyan Li, Guozhu Dong, Kotagiri Ramamohanarao, and Limsoon Wong. DeEPs: A New Instance-based Discovery and Classification System. Machine Learning 54(2): 99-124 (2004).

66.  Guozhu Dong, Changjie Tang and Wei Wang eds. Proceedings of The Fourth International Conference on Web-Age Information Management (WAIM), 2003, Chengdu, China. LNCS 2762 , Springer Verlag.

67.  G. Dong, L. Libkin, and L. Wong. Incremental Recomputation in Local Languages. In Information and Computation , Vol 181, pp88-98, 2003.

68.  Guozhu Dong, Jiawei Han, Laks V.S. Lakshmanan, Jian Pei, Haixun Wang, Philip S. Yu. Online Mining of Changes from Data Streams: Research Problems and Preliminary Results. ACM SIGMOD MPDS 2003.

69.  Ke Wang, Yudong Jiang, Jeffrey Xu Yu, Guozhu Dong, Jiawei Han. Pushing Aggregate Constraints by Divide-and-Approximate. IEEE ICDE 2003.

70.  Jian Pei, Guozhu Dong, Wei Zou, Jiawei Han. On Computing Condensed Frequent Pattern Bases. IEEE ICDM 2002.

71.  Yixin Chen, Guozhu Dong, Jiawei Han, Benjamin W. Wah, Jianyong Wang. Multi-Dimensional Regression Analysis of Time-Series Data Streams. VLDB 2002. postscript

72.  Yixin Chen, Guozhu Dong, Jiawei Han, Jian Pei, Benjamin W. Wah, Jianyong Wang. Online analytical processing stream data: is it feasible? ACM SIGMOD DMKD 2002.

73.  Jiawei Han, Jianyong Wang, Guozhu Dong, Jian Pei, and Ke Wang. CubeExplorer: Online Exploration of Data Cubes. Proceedings of SIGMOD 2002. (demo paper). postscript

74.  Jinyan Li, Guozhu Dong and Kotagiri Ramamohanarao. Making Use of the Most Expressive Jumping Emerging Patterns for Classification. Knowledge and Information Systems 3(2): 131-145 (2001).

75.  Guozhu Dong. Knowledge discovery in databases. Chapter in John J. Marciniak, editor, Encyclopedia of Software Engineering. Wiley, December, 2001.

76.  Guozhu Dong, Jiawei Han, Joyce Lam, Jian Pei, Ke Wang. Mining Multi-Dimensional Constrained Gradients in Data Cubes. In VLDB 2001, September 2001. postscript

77.  Jack S.N. Jean, Guozhu Dong, Hwa Zhang, Xinzhong Guo, Baifeng Zhang. Query processing with an FPGA Coprocessor Board. In Proceedings of The First International Conference on ENGINEERING OF RECONFIGURABLE SYSTEMS AND ALGORITHMS (ERSA), 2001, Las Vegas, Nevada, USA. pdf

78.  Jiawei Han, Jian Pei, Guozhu Dong and Ke Wang. Efficient Computation of Iceberg Cubes with Complex Measures. In ACM SIGMOD International Conference on Management of Data, 2001. postscript

79.  Guozhu Dong and Kaustubh Deshpande. Efficient Mining of Niches and Set Routines. In Pacific-Asia Conference On Knowledge Discovery and Data Mining, 2001. postscript

80.  Jinyan Li, Kotagiri Ramamohanarao, and Guozhu Dong. Combining the strength of pattern frequency and distance for classification. In Pacific-Asia Conference On Knowledge Discovery and Data Mining, 2001. postscript

81.  Xiuzhen Zhang, Guozhu Dong, and Kotagiri Ramamohanarao. Building behavior knowledge space to make classification decision. In Pacific-Asia Conference On Knowledge Discovery and Data Mining, 2001. postscript

82.  Jinyan Li, Kotagiri Ramamohanarao, Guozhu Dong. Emerging Patterns and Classification. Proceedings of the ASIAN Conference, 15-32, 2000. postscript

83.  Guozhu Dong and Louxin Zhang. Separating Auxiliary Arity Hierarchy of First-Order Incremental Evaluation Using (3+1)-ary Input Relations. International Journal of Foundations of Computer Science, Vol. 11, No. 4, pp 573-578, 2000.

84.  Xiuzhen Zhang, Guozhu Dong, and Kotagiri Ramamohanarao. Information-based Classification by Aggregating Emerging Patterns. In Second International Conference On Intelligent Data Engineering And Automated Learning (IDEAL) 2000. postscript

85.  Jinyan Li, Guozhu Dong and Kotagiri Ramamohanarao. Making Use of the Most Expressive Jumping Emerging Patterns for Classification. In the KAIS Journal. Earlier version appeared in PAKDD2000.

86.  Jinyan Li, Guozhu Dong, and Kotagiri Ramamohanarao. Instance-based classification by emerging patterns. PKDD-2000, 4th European Conference of Principles and Practice of Knowledge Discovery in Databases, September 13-16, 2000, Lyon, France. postscript

87.  Xiuzhen Zhang, Guozhu Dong and Kotagiri Ramamohanarao. Exploring Constraints to Efficiently Mine Emerging Patterns from Large High-dimensional Datasets. ACM SIGKDD 2000 International Conference on Knowledge Discovery & Data Mining, August 20-23, 2000, Boston, USA. postscript

88.  Jinyan Li, Kotagiri Ramamohanarao and Guozhu Dong. The Space of Jumping Emerging Patterns and Its Incremental Maintenance. International Conference on Machine Learning, June 2000. postscript

89.  , G Dong, L Libkin and L Wong. Local Properties of Query Languages. Theoretical Computer Science , 239 (2) (2000) pp. 277-308.

90.  Jinyan Li, Guozhu Dong and Kotagiri Ramamohanarao. Making Use of the Most Expressive Jumping Emerging Patterns for Classification. Proceedings of Pacific Asia Conference on Knowledge Discovery in Databases (PAKDD), Kyoto, Japan, 2000. postscript

91.  Guozhu Dong and Jianwen Su. Incremental Maintenance of Recursive Views Using Relational Calculus/SQL. Database Principles Column, ACM SIGMOD Record, March 2000. postscript

92.  Richard Hull, Francois Llirbat, Bharat Kumar, Gang Zhou, Guozhu Dong, and Jianwen Su. Optimization techniques for data intensive decision flows. IEEE International Conference on Data Engineering (ICDE), San Diego, March, 2000.

93.  Xiuzhen Zhang, Guozhu Dong, Limsoon Wong. Using CAEP to Predict Translation Initiation Sites from Genomic DNA Sequences. TR2001/22, CSSE, Univ of Melbourne. gzipped postscript Note: The paper was written in 1999.

94.  Guozhu Dong, Xiuzhen Zhang, Limsoon Wong, Jinyan Li. CAEP: Classification by Aggregating Emerging Patterns. DS-99: Proceedings of Second International Conference on Discovery Science, Lecture Notes in Computer Science, Vol. 1721 Springer, ISBN 3-540-66713-X, Setsuo Arikawa, Koichi Furukawa (Eds.), December 6--8, 1999, Tokyo, Japan. postscript

95.  G Dong, L Libkin, J Su and L Wong. Maintaining Transitive Closure of Graphs in SQL. Int'l J. of Information Technology, 5(1):46--78, October 1999.

96.  Richard Hull, Francois Llirbat, Jianwen Su, Guozhu Dong, Bharat Kumar, and Gang Zhou. Efficient support for decision flows in e-commerce applications. Second International Conference on Telecommunications and Electronic Commerce (ICTEC), Nashville, TN, USA, October 6-8, 1999.

97.  Jinyan Li, Xiuzhen Zhang, Guozhu Dong, Ramamohanarao Kotagiri, Qun Sun. Efficient Mining of High Confidence Association Rules without Support Thresholds. PKDD-99, 3rd European Conference of Principles and Practice of Knowledge Discovery in Databases, Prague (Czech Republic), Sep. 15-18, 1999. ascii abstract postscript

98.  Guozhu Dong, Richard Hull, Bharat Kumar, Jianwen Su and Gang Zhou. A Framework for Optimising Distributed Workflow Executions. Proceedings of the Seventh International Workshop on Database Programming Languages (DBPL99). Kinloch Rannoch, Scotland, September 1st - 3rd, 1999.

99.  Guozhu Dong and Jinyan Li. Efficient Mining of Emerging Patterns: Discovering Trends and Differences. ACM SIGKDD 1999 International Conference on Knowledge Discovery & Data Mining, pages 43 -- 52. August 15-18, 1999, San Diego, USA. ascii abstract postscript

100.                      Guozhu Dong, Jinyan Li and Xiuzhen Zhang. Discovering Jumping Emerging Patterns and Experiments on Real Datasets. Proceedings of 9th International Database Conference on Heterogeneous and Internet Databases (IDC99), Hong Kong, July 15-17, 1999.

101.                      Guozhu Dong. Incremental Maintenance of Recursive Views: A Survey. Chapter 12, in Materialized Views: Techniques, Implementations, and Applications, (eds.) by Ashish Gupta and Inderpal Singh Mumick. ISBN 0-262-57122-6. MIT Press, 1999.

102.                      Guozhu Dong, Rodney Topor. Incremental Evaluation of Datalog Queries. Chapter 17, in Materialized Views: Techniques, Implementations, and Applications, (eds.) by Ashish Gupta and Inderpal Singh Mumick. ISBN 0-262-57122-6. MIT Press, 1999. This chapter is reprinted from the Proceedings of the 1992 International Conference on Database Theory.

103.                      Jiawei Han, Guozhu Dong, and Yiwen Yin. Efficient Mining of Partial Periodic Patterns in Time Series Database. pages 106-115, IEEE International Conference on Data Engineering (ICDE), Sydney, March, 1999. ascii abstract gziped postscript

104.                      Xun Cheng, Guozhu Dong, Tzekwan Lau, Jianwen Su. Data Integration by Describing Sources with Constraint Databases. pages 374-381, IEEE International Conference on Data Engineering (ICDE), Sydney, March, 1999. ascii abstract gziped postscript

105.                      Richard Hull, Francois Llirbat, Eric Simon, Jianwen Su, Guozhu Dong, Bharat Kumar, and Gang Zhou. Declarative Workflows that Support Easy Modification and Dynamic Browsing. International Joint Conference on Work Activities Coordination and Collaboration (WACC). San Francisco. February, 1999.

106.                      J. Bailey and G. Dong. Decidability of First Order Logic Queries over Views. International Conference on Database Theory (ICDT), Edited by Buneman and Beeri. Jerusalem, pages 83-99, January, 1999. ascii abstract gziped postscript

107.                      C. Pang, R. Kotagiri and G. Dong. Incremental FO(+,<) Maintenance of All-pairs Shortest Paths for Undirected Graphs After Insertions and Deletions. International Conference on Database Theory (ICDT), Edited by Buneman and Beeri. Jerusalem, pages 365-382, January, 1999. ascii abstract gziped postscript

108.                      G. Dong and J. Su. Arity Bounds for First-Order Incremental Evaluation and Definition of Polynomial Time Database Queries. Journal of Computer and System Sciences (JCSS), 57(3):289-308, December 1998.

109.                      M. Benedikt, G. Dong, L. Libkin and L. Wong. Relational expressive power of constraint query languages. Journal of Association for Computing Machinery (JACM) 45(1):1-34, January 1998.

110.                      J. Bailey, G. Dong, M. Mohania and X. Wang. Efficient Incremental View Maintenance in Distributed Databases by Tagging. Journal of Distributed and Parallel Processing, Kluwer, 6(3):287-309, July 1998.

111.                      J. Bailey, G. Dong and R. Kotagiri. Decidability and Undecidability Results for the Termination Problem of Active Database Rules. ACM Symposium on Principles of Database Systems (PODS), Seattle, pages 264-273, 1998. ascii abstract gziped postscript

112.                      G. Dong and J. Li. Interestingness of Discovered Association Rules in terms of Neighborhood-Based Unexpectedness. Proceedings of Pacific Asia Conference on Knowledge Discovery in Databases (PAKDD), pages 72-86. Melbourne, 1998. ascii abstract postscript

113.                      A set of slides which survey the main results on the maintenance in first-order of views defined by recursive queries is available as gziped postscript

114.                      G. Dong and R. Kotagiri. Maintaining constrained transitive closure by conjunctive queries. Proceedings of International Conference on Deductive and Object-Oriented Databases (DOOD), Switzerland, 1997. pages 35-51. LNCS 1341. gziped postscript

115.                      Guozhu Dong and Chaoyi Pang. First-order maintenance of transitive closure after node-set and edge-set deletions. Information Processing Letters (IPL). 62(3):193--199, 1997.

116.                      G. Dong, L. Libkin, and L. Wong. Local properties of query languages. In Foto Afrati and Phokian Kolaitis, editors, Proc. International Conference on Database Theory (ICDT), Lecture Notes in Computer Science, Volume 1186, pp. 140--154. Springer-Verlag, Jan 1997. ascii abstract

117.                      J.Bailey, G.Dong, and K.Ramamohanarao. Structural issues in active rule systems. In Foto Afrati and Phokian Kolaitis, editors, Proc. International Conference on Database Theory (ICDT), Lecture Notes in Computer Science, Volume 1186, pp. 203--214. Springer-Verlag, Jan 1997.

118.                      G. Dong and L. Wong. Some Relationships between FOIES and Sigma 1 1 Arity Hierarchies. Bulletin of the European Association of Theoretical Computer Science, 61:72-9, February 1997. gziped postscript

119.                      G. Dong and J. Su. Deterministic FOIES are Strictly Weaker. Annals of Mathematics and Artificial Intelligence, 19(1-2):127--146, 1997. ascii abstract

120.                      M. Bendikt, G. Dong, L. Libkin and L. Wong. Relational expressive power of constraint query languages. Proc. ACM Symposium on Principles of Database Systems (PODS), Montreal, 1996. ascii abstract gziped postscript

121.                      G. Dong, J. Su. Conjunctive query containment with repect to views and constraints. Information Processing Letters (IPL), Vol 57, No 2, pp95-102, 1996.

122.                      M. Mohania and G. Dong. Algorithms for adapting materialised views in data warehouses. In Proc. of Internat'l Symposium on Cooperative Database Systems for Advanced Applications, pp. 62--69, 1996.

123.                      G. Dong, J. Su. Incremental and Decremental Evaluation of Transitive Closure by First-Order Queries. Information and Computation, pp. 101-106, 1:120, July 1995. ascii abstract

124.                      G. Dong, J. Su, R. Topor. Nonrecursive Incremental Evaluation of Datalog Queries. Annals of Mathematics and Artificial Intelligence, 14:187-223, 1995. ascii abstract

125.                      G. Dong, J. Su. Incremental boundedness and nonrecursive incremental evaluation of datalog queries (extended abstract). International Conference on Database Theory (ICDT), Prague, 1995. (LNCS893)

126.                      G. Dong, J. Su. Space bounded FOIES. Proc. ACM Symposium on Principles of Database Systems, San Jose, 1995. ascii abstract gziped postscript

127.                      G. Dong, L. Libkin, L. Wong. On impossibility of decremental recomputation of recursive queries in relational calculus and SQL. Fifth International Database Programming Languages Workshop, 1995.

128.                      G. Dong, S. Ginsburg. On decompositions of chain datalog programs into P (left)-linear 1-rule components. Journal of Logic Programming (JLP), 23(3):203--236, June 1995. ascii abstract

129.                      G. Dong. On the index of positive programmed formal languages. Information Processing Letters (IPL), 54, pp. 105-110, 1995.

130.                      Q. Li and G. Dong. A framework for object migration in object-oriented databases. Data and Knowledge Engineering, 13(3):221--242, 1994.

131.                      G. Dong and J. Su. First-order incremental evaluation of datalog queries. In Proc. of 4th Internat'l Workshop on Database Programming Languages, C. Beeri, A. Ohori and D. Shasha (Eds), pp. 295--308. Workshop in Computing Series, Springer-Verlag, 1993.

132.                      G. Dong. On the monotonicity of (LDL) logic programs with sets. Annals of Mathematics and Artificial Intelligence, 7(1-4):107--127, 1993.

133.                      G. Dong, K. Davis, and A. Heuer. Discussion Report: Object Migration and Classification. In Modelling Database Dynamics, eds U.W. Lipeck and B. Thalheim, pp. 223--227. Springer, 1993.

134.                      G. Dong and R. Topor. Incremental evaluation of datalog queries. In Proc. Int'l Conf. on Database Theory, pp. 282--296, Berlin, Germany, October 1992.

135.                      G. Dong and Q. Li. Object migration in object-oriented databases. In Proc. 4th Internat'l Workshop on Foundations of Models and Languages for Data and Objects: MODELLING DATABASE DYNAMICS, U.W. Lipeck and B. Thalheim eds, pp 81-92. Volkse (Germany), October, 1992.

136.                      G. Dong and K. Ramamohanarao. Representation and translation of queries in heterogeneous databases with semantic discrepancies. In Proc. IFIP DS-5 Conf on Interoperable Database Systems. pp. 177--190, Nov. 1992.

137.                      Guozhu Dong. Datalog expressiveness of chain queries: Grammar tools and characterisations. In Proc. ACM Symposium of Principles of Database Systems, pp. 81--90, 1992.

138.                      Guozhu Dong. On Datalog Linearisation of Chain Queries. In Theoretical Studies in Computer Science, J.D. Ullman eds, pp. 181--206. Academic Press, 1991.

139.                      Guozhu Dong, Seymour Ginsburg. Localizable constraints for object histories. Theoretical Computer Science , 90(2):391--432, 1991.

140.                      G. Dong and J. Su. Object behaviors and scripts. In Proc. 3rd Internat'l Workshop on Database Programming Languages, pp. 383--398. Morgan-Kaufmann, 1991.

141.                      Guozhu Dong, Seymour Ginsburg. On the decomposition of datalog program mappings. Theoretical Computer Science , 76(1):143--177, October 1990.

142.                      Guozhu Dong. Inference of cyclicity and acyclicity constraints among recursively typed objects with identifiers. In Proc. Far-East Workshop on Future Database Systems, pp. 130--144, April 1990.

143.                      Guozhu Dong. On distributed processibility of datalog queries by decomposing databases. In Proc. ACM Internat'l Conf. on Management of Data, pp. 26--35, 1989.

144.                      Guozhu Dong. On the composition and decomposition of datalog program mappings. In Proc. of Internat'l Conf. on Database Theory, Lecture Notes in Computer Science No. 326 (M. Gyssens, J. Paredaens, and D. Van Gucht eds), pp. 87--101, 1988.

145.                      Guozhu Dong, Seymour Ginsburg: Localizable Constraints for Object Histories. XP7.52 Workshop on Database Theory 1986.