1. Guozhu Dong. Exploiting the Power of Group Differences: Using Patterns to Solve Data Analysis Problems. Morgan & Claypool. February 2019.
2. Guozhu Dong and Huan Liu (editors). Feature Engineering for Machine Learning and Data Analytics. Chapman & Hall/CRC. April 2018.
3. Guozhu Dong and James Bailey (editors). Contrast Data Mining: Concepts, Algorithms and Applications. Chapman & Hall/CRC (Data Mining and Knowledge Discovery Series), September 2012.
4.
Guozhu Dong and Jian Pei. Sequence
Data Mining , Springer. August 2007.
Proceedings
5.
Raju Gottumukkala, Xia Ning, Guozhu Dong, Vijay Raghavan, Srinivas
Aluru, George Karypis, Lucio Miele, Xindong Wu. Proceedings of the Workshops
for the 2017 IEEE International Conference of Data Mining (ICDM).
6.
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.
7.
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
8.
Tutorial slides: Contrast Data Mining: Methods and Applications
(delivered at 2007 IEEE ICDM, by James Bailey and Guozhu Dong)
Papers
9.
Cuiju Luan, Guozhu Dong. Experimental
Identification of Hard Data Sets for Classification and Feature Selection
Methods with Insights on Method Selection. Data & Knowledge Engineering.
Volume 118, Pages 41-51, 2018. Hard datasets are available here.
10. Lei
Duan, Lu Liu, Guozhu Dong, Jyrki Nummenmaa, Tingting Wang, Pan Qin, Hao Yang.
Mining Distinguishing Customer Focus Sets for Online Shopping Decision Support.
Computing. 100: 335, 2018.
11. Guozhu
Dong and Huan Liu. Preliminaries and Overview. Chapter in: Feature Engineering
for Machine Learning and Data Analytics. Chapman & Hall/CRC. 2018.
12. Guozhu
Dong, Lei Duan, Jyrki Nummenmaa and Peng Zhang. Feature Generation and Feature
Engineering for Sequences. Chapter in: Feature Engineering for Machine Learning
and Data Analytics. Chapman & Hall/CRC. 2018.
13. Nicholas
Skapura and Guozhu Dong. Class Distribution Curve based Discretization with
Application to Wearable Sensors and Medical Monitoring. International Journal
of Monitoring and Surveillance Technologies Research (IJMSTR). 5(4), 2017.
14. Lei
Duan, Li Yan, Guozhu Dong, Jyrki Nummenmaa, Hao Yang: Mining Top-k
Distinguishing Temporal Sequential Patterns from Event Sequences. DASFAA (2)
2017: 235-250
15. Tinghai
Pang, Lei Duan, Jesse Li-Ling, Guozhu Dong: Mining Similarity-Aware
Distinguishing Sequential Patterns from Biomedical Sequences. Proceedings of
IEEE Second International Conference on Data Science in Cyberspace (DSC) 2017: 43-52
16. Guozhu
Dong, Sanjeev Bhatta: Subpopulation-Wise Conditional Correlation Modeling and
Analysis. ICBK 2017: 17-24
17. Cuiju
Luan, Guozhu Dong: Experimental Identification of Hard Data Sets for
Classification and Feature Selection Methods with Insights on Method Selection.
CoRR abs/1703.08283 (2017)
18. Lei
Duan, Guozhu Dong, Xianming Wang, Changjie Tang: Efficient Mining of
Discriminating Relationships Among Attributes Involving Arithmetic Operations.
Computational Intelligence 32(1): 102-126 (2016)
19. Lu Liu,
Lei Duan, Hao Yang, Jyrki Nummenmaa, Guozhu Dong, Pan Qin. Mining
Distinguishing Customer Focus Sets for Online Shopping Decision Support. In:
Proceedings of the 12th Int' l Conf. on Advanced Data Mining and Applications
(ADMA 2016), LNAI 10086, pp. 50-64, 2016.
20. Amit
Krishna Joshi, Pascal Hitzler, Guozhu Dong: LinkGen: Multipurpose Linked Data
Generator. International Semantic Web Conference (2) 2016: 113-121
21. Chao
Gao, Lei Duan, Guozhu Dong, Haiqing Zhang, Hao Yang, Changjie Tang: Mining
Top-k Distinguishing Sequential Patterns with Flexible Gap Constraints. WAIM
(1) 2016: 82-94
22. Vahid
Taslimitehrani, Guozhu Dong, Naveen L. Pereira, Maryam Panahiazar, Jyotishman
Pathak: Developing EHR-driven heart failure risk prediction models using
CPXR(Log) with the probabilistic loss function. Journal of Biomedical
Informatics 60: 260-269 (2016)
23. Guozhu
Dong and Vahid Taslimitehrani. Pattern Aided Classfication. SIAM INTERNATIONAL
CONFERENCE ON DATA MINING (SDM), 225-233, 2016.
24. Guozhu
Dong, Vahid Taslimitehrani: Pattern-aided regression modeling and prediction
model analysis (extended abstract). ICDE 2016: 1508-1509.
25. Lei
Duan, Guanting Tang, Jian Pei, James Bailey, Guozhu Dong, Xuan Vinh Nguyen,
Akiko Campbell, Changjie Tang: Efficient discovery of contrast subspaces for
object explanation and characterization. Knowl. Inf. Syst. 47(1): 99-129 (2016)
26. Hemant
Purohit, Guozhu Dong, Valerie Shalin, Krishnaprasad Thirunarayan, Amit Sheth.
Intent Classification of Short-Text on Social Media. IEEE International
Conference on Social Computing and Networking (SocialCom), Chengdu, China, Dec.
19-21, 2015.
27. Nicholas
Skapura and Guozhu Dong. Distribution Skew-based Binning: Towards Mining Highly
Discriminative Patterns from EEG/EMG Time Series. IEEE BIBE 2015.
28. Guanting
Tang, Jian Pei, James Bailey, Guozhu Dong: Mining multidimensional contextual
outliers from categorical relational data. Intell. Data Anal. 19(5): 1171-1192
(2015).
29. Behzad
Ghanbarian, Vahid Taslimitehrani, Guozhu Dong, Yakov A. Pachepsky. Sample
dimensions effect on prediction of soil water retention curve and saturated
hydraulic conductivity. Journal of Hydrology. 528 (2015) 127–137.
30. Guozhu
Dong and Vahid Taslimitehrani. Pattern-Aided Regression Modeling and Prediction
Model Analysis. IEEE Transactions on Knowledge and Data Engineering. Vol 27,
Issue 9, pp 2452–2465, 2015. Available here at
IEEE Xlpore.
31. Hao
Yang, Lei Duan, Guozhu Dong, Jyrki
Nummenmaa, Changjie Tang. Mining Itemset-based Distinguishing Sequential
Patterns with Gap Constraint. DASFAA 2015.
32. Vahid
Taslimitehrani and Guozhu Dong. A New CPXR Based Logistic Regression Method and
Clinical Prognostic Modeling Results Using the Method on Traumatic Brain
Injury. IEEE International Conference on BioInformatics and BioEngineering
(BIBE). Florida, USA. Nov. 2014. Winner of Best Student Paper Award.
33. Olga
Mendoza-Schrock and Guozhu Dong. Gender classification from video under
challenging operating conditions. Proc. SPIE 9079, Ground/Air Multisensor
Interoperability, Integration, and Networking for Persistent ISR V, 90790S
(June 10, 2014); doi:10.1117/12.2052864.
34. 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.
35. 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.
36. 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.
37. 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.
38. 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.
39. 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.
40. 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.
41. 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.
42. 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.
43. 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.
44. 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.
45. 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.
46. 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.
47. 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.
48. 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.
49. 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.
50. 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.
51. Gang
Kou, Yong Shi, Guozhu Dong. Editorial: Data mining for software
trustworthiness.Information Sciences: an International Journal. Vol 191, pp
1-2, 2012.
52. Guozhu
Dong. Cross Domain Similarity Mining: Research Issues and Potential Applications
Including Supporting Research by Analogy. ACM SIGKDD Explorations. June 2012.
53. 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.
54. 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.
55. Qingbao
Liu, Guozhu Dong. CPCQ: Contrast Pattern based Clustering Quality Index for
Categorical Data. Pattern Recognition. pp. 1739 – 1748, volume 45, issue
4, 2012.
56. 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.
57. 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.
58. 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.
59. 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).
60. 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.
61. James
Bailey, Guozhu Dong, Anthony Widjaja To. Logical queries over views:
Decidability and expressiveness. ACM Transactions on
Computational Logic. 11(2): 2010.
62. Guozhu
Dong and Ting Sa. Analyzing and Tracking Weblog Communities Using
Discriminative Collection Representatives. International
Conference on Social Computing, Behavioral Modeling, & Prediction, 2010.
63. 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.
64. Qingbao
Liu and Guozhu Dong. A Contrast Pattern based Clustering Quality Index for
Categorical Data. Proc IEEE ICDM 2009.
65. 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.
66. 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.
67. 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.
68. Guozhu
Dong, Jianwen Su. Incremental Computation of Queries. Encyclopedia of Database Systems. M. Tamer
Ozsu and Ling Liu, Editors-in-Chief. Springer. 2009.
69. Guozhu
Dong, Jinyan Li. Emerging Patterns. Encyclopedia of Database Systems. M. Tamer
Ozsu and Ling Liu, Editors-in-Chief. Springer. 2009.
70. Guozhu
Dong, Jinyan Li: Emerging Pattern Based Classification. Encyclopedia of Database Systems, Edited
by Ling Liu and Tamer M. Ozsu. 2009.
71. 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.
72. 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.
73. Liping
Wang, Qing Li, Na Li, Guozhu Dong, Yu Yang. Substructure Similarity Search in
Chinese Recipes. WWW 2008: 979-988.
74. Zhengzheng
Xing, Jian Pei, Guozhu Dong, Philip S. Yu. Mining Sequence Classifiers for
Early Prediction. SIAM SDM 2008.
75. Xiuzhen
Zhang, Pauline LienHua Chou, and Guozhu Dong. Efficient computation of iceberg
cubes by bounding aggregate functions. IEEE TKDE,
19(7): 903-918 (2007).
76. 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.
77. 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.
78. 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.
79. 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.
80. 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.
81. 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.)
82. 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.)
83. 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.
84. Xiaonan
Ji, James Bailey, Guozhu Dong: Mining Minimal Distinguishing Subsequence
Patterns with Gap Constraints. ICDM 2005: 194-201. Best Research Paper Award.
85. 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.
86. 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.
87. 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.
88. 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.
89. Lusheng
Wang, Hao Zhao, Guozhu Dong, Jianping Li. On the complexity of finding emerging
patterns. Theoretical Computer Science. 335(1): 15-27, 2005.
90. 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.
91. 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.
92. 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).
93. 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).
94. 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.
95. G.
Dong, L. Libkin, and L. Wong. Incremental Recomputation in Local Languages. In Information and
Computation , Vol 181, pp88-98, 2003.
96. 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.
97. Ke
Wang, Yudong Jiang, Jeffrey Xu Yu, Guozhu Dong, Jiawei Han. Pushing Aggregate
Constraints by Divide-and-Approximate. IEEE ICDE 2003.
98. Jian
Pei, Guozhu Dong, Wei Zou, Jiawei Han. On Computing Condensed Frequent Pattern
Bases. IEEE ICDM 2002.
99. Yixin
Chen, Guozhu Dong, Jiawei Han, Benjamin W. Wah, Jianyong Wang.
Multi-Dimensional Regression Analysis of Time-Series Data Streams. VLDB 2002. postscript
100.
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.
101.
Jiawei Han, Jianyong Wang, Guozhu Dong, Jian
Pei, and Ke Wang. CubeExplorer: Online Exploration of Data Cubes. Proceedings
of SIGMOD 2002. (demo paper). postscript
102.
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).
103.
Guozhu Dong. Knowledge discovery in databases.
Chapter in John J. Marciniak, editor, Encyclopedia of Software
Engineering. Wiley, December, 2001.
104.
Guozhu Dong, Jiawei Han, Joyce Lam, Jian Pei,
Ke Wang. Mining Multi-Dimensional Constrained Gradients in Data Cubes. In VLDB
2001, September 2001. postscript
105.
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
106.
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
107.
Guozhu Dong and Kaustubh Deshpande. Efficient
Mining of Niches and Set Routines. In Pacific-Asia Conference On Knowledge
Discovery and Data Mining, 2001. postscript
108.
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
109.
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
110.
Jinyan Li, Kotagiri Ramamohanarao, Guozhu
Dong. Emerging Patterns and Classification. Proceedings of the ASIAN
Conference, 15-32, 2000. postscript
111.
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.
112.
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
113.
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.
114.
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
115.
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
116.
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
117.
, G Dong, L Libkin and L Wong. Local
Properties of Query Languages. Theoretical Computer Science , 239 (2)
(2000) pp. 277-308.
118.
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
119.
Guozhu Dong and Jianwen Su. Incremental
Maintenance of Recursive Views Using Relational Calculus/SQL. Database
Principles Column, ACM SIGMOD Record, March 2000. postscript
120.
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.
121.
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.
122.
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
123.
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.
124.
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.
125.
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
126.
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.
127.
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
128.
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.
129.
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.
130.
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.
131.
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
132.
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
133.
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.
134.
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
135.
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
136.
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.
137.
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.
138.
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.
139.
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
140.
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
141.
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
142.
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
143.
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.
144.
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
145.
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.
146.
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
147.
G. Dong and J. Su. Deterministic FOIES are
Strictly Weaker. Annals of Mathematics and Artificial Intelligence,
19(1-2):127--146, 1997. ascii abstract
148.
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
149.
G. Dong, J. Su. Conjunctive query containment
with repect to views and constraints. Information Processing Letters (IPL), Vol
57, No 2, pp95-102, 1996.
150.
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.
151.
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
152.
G. Dong, J. Su, R. Topor. Nonrecursive
Incremental Evaluation of Datalog Queries. Annals of Mathematics and Artificial
Intelligence, 14:187-223, 1995. ascii abstract
153.
G. Dong, J. Su. Incremental boundedness and
nonrecursive incremental evaluation of datalog queries (extended abstract).
International Conference on Database Theory (ICDT), Prague, 1995. (LNCS893)
154.
G. Dong, J. Su. Space bounded FOIES. Proc.
ACM Symposium on Principles of Database Systems, San Jose, 1995. ascii abstract gziped postscript
155.
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.
156.
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
157.
G. Dong. On the index of positive programmed
formal languages. Information Processing Letters (IPL), 54, pp. 105-110, 1995.
158.
Q. Li and G. Dong. A framework for object
migration in object-oriented databases. Data and Knowledge Engineering, 13(3):221--242,
1994.
159.
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.
160.
G. Dong. On the monotonicity of (LDL) logic
programs with sets. Annals of Mathematics and Artificial Intelligence,
7(1-4):107--127, 1993.
161.
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.
162.
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.
163.
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.
164.
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.
165.
Guozhu Dong. Datalog expressiveness of chain
queries: Grammar tools and characterisations. In Proc. ACM Symposium of
Principles of Database Systems, pp. 81--90, 1992.
166.
Guozhu Dong. On Datalog Linearisation of
Chain Queries. In Theoretical Studies in Computer Science, J.D. Ullman eds, pp.
181--206. Academic Press, 1991.
167.
Guozhu Dong, Seymour Ginsburg. Localizable
constraints for object histories. Theoretical Computer Science ,
90(2):391--432, 1991.
168.
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.
169.
Guozhu Dong, Seymour Ginsburg. On the
decomposition of datalog program mappings. Theoretical Computer Science ,
76(1):143--177, October 1990.
170.
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.
171.
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.
172.
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.
173.
Guozhu Dong, Seymour Ginsburg: Localizable
Constraints for Object Histories. XP7.52 Workshop on Database Theory 1986.