Publication

Y. Xu, K. Wang, R. C. W. Wong, A. Fu. Publishing Skewed Sensitive Microdata. SDM 2010

R. She, J. Chu, K. Wang, and N. Chen. Fast and Accurate Gene Prediction by Decision Tree Classification. SDM 2010

R. C. W. Wong, A. Fu, J. Liu, K. Wang, Y. Xu. Global Privacy Guarantee in Serial Data Publishing. ICDE 2010

J. Q. Liu and K. Wang. On Optimal Anonymization for l+-Diversity. ICDE 2010

Rhonda Chaytor, Ke Wang, Patricia Brantingham. Fine-Grain Perturbation for Privacy Preserving Data Publishing. ICDM 2009

Hady W. Lauw, Ee-Peng Lim, and Ke Wang. On Mining Rating Dependencies in Online Collaborative Rating Networks. PAKDD 2009

Yabo Xu, Ada Fu, Guoliang Yang, Ke Wang. Online Anonymity for Personalized Web Services. CIKM 2009

B. Fung, K. Wang, R. Chen, P. Yu. Privacy-Preserving Data Publishing: A Survey on Recent Developments. ACM Computing Surveys, Vol. 42, Issue No 4, December 2010 (impact factor 9.92 (2009)).

H. W. Lauw, L. E. Peng, K. Wang. On Mining Rating Dependencies in Online Collaborative Rating Networks. PAKDD 2009

B. C. M. Fung, K. Wang, L. Wang, and P. C. K. Hung. Privacy-Preserving Data Publishing for Cluster Analysis. Data & Knowledge Engineering (DKE). Vol. 68, Issue 6, June 2009, 552-575, Elsevier Science Publishers B. V

N. Mohammed, B. C. M. Fung, K. Wang, and P. C. K. Hung. Privacy-preserving data mashup. In Proceedings of the 12th International Conference on Extending Database Technology (EDBT 2009), Saint-Petersburg, Russia: ACM Press, March 2009.

K. Wang, Y. Xu, A. Fu, R. Wong. FF-Anonymity: When Quasi-Identifiers Are Missing. ICDE 2009

Y. Xu, B. Fung, K. Wang, A. Fu, and J. Pei. Publishing Sensitive Transactions for Itemset Utility . ICDM 2008

R. C. W. Wong, J. Li, A. W. C. Fu. and K. Wang. (alpha, k)-anonymous data publishing. Journal of Intelligent Information Sys tems, Volume 33, Number 2 / October, 2009

Xinghuo Zeng; Jian Pei; Ke Wang; Jinyan Li. PADS: A Simple Yet Effective Pattern-Aware Dynamic Search Method for Fast Maximal Frequent Pattern . Knowledge and Information Systems, Volume 20, Issue 3 (2009), Page 375

Raymond Chi-Wing Wong, Ada Wai-Chee Fu, Ke Wang, and Jian Pei. Anonymization based Attack in Privacy Preserving Data Publishing . ACM Transactions on Databases Systems (TODS), Volume 34, Issue 2, Jun., 2009

R. She, J. Chu, K. Wang, J. Pei, J. Chen. genBlastA: enabling BLAST to identify homologous gene sequences. Genome Research, January 2009 19:143-149; doi:10.1101/gr.082081.108 (2007 impact factor: 11.224)

R. Wong, J. Pei, A. Fu, K. Wang. Online Skyline Analysis with Dynamic Preferences on Nominal Attributes . TKDE, pp1-15, Vol. 21, No. 1, Jan., 2009

Y. Xu, K. Wang, A. Fu and P. Yu. Anonymizing Transaction Databases for Publication . SIGKDD 2008

B. Fung, K. Wang, L. Wang, M. Debbabi. A framework for privacy-preserving cluster analysis . IEEE International Conference on Intelligence and Security Informatics, 2008.

Proceedings of the Eighth SIAM International Conference on Data Mining, 2008. Edited by Mohammed J. Zaki, Ke Wang, Chid Apte, and Haesun Park

H. W. Lauw, E. P. Lim, K. Wang. Bias and Controversy in Evaluation Systems. TKDE, Vol. 20, No. 11, pp. 1490-1504, Apr., 2008

B. Fung, K. Wang, A. Fu, J. Pei. Anonymity for Continuous Data Publishing . EDBT 2008.

X. Zeng, J. Pei, I. Vergaraz M. Nesbittz, K. Wang, N. Chen. OrthoCluster: A New Tool for Mining Syntenic Blocks and Applications in Comparative Genomics . EDBT 2008

R. She, K. Wang, A. Fu, Y. Xu. Computing Join Aggregates over Private Tables. Invited paper to DaWak 2007 Special Issue, International Journal of Data Warehousing and Mining (IJDWM), Vol. 4, Issue 4, Sept-Dec 2008

Y. Xu, K. Wang, A. Fu, R. She, and J. Pei. Privacy-preserving data stream classfication (Book Chapter), in Privacy-Preserving Data Models and Algorithms (Springer), Ed. C. Aggarwal, P. Yu, 2007.

R. Wong, A. Fu, K. Wang, and J. Pei. Minimality Attack in Privacy Preserving Data Publishing. VLDB 2007

R. Wong, J. Pei, A. Fu, and K. Wang. Mining Favorable Facets. SIGKDD 2007

R. She, K. Wang, A. Fu, Y. Xu. Computing Join Aggregates over Private Tables . DaWak 2007 [Best paper award]

Jian Pei, Jian Xu, Zhibin Wang, Wei Wang, Ke Wang. Maintaining K-Anonymity against Incremental Updates . SSDBM 2007

Y. Xu, B. Zhang, Z. Chen, K. Wang. Privacy-Enhancing Personalized Web Search. WWW 2007

H. W. Lauw, E. P. Lim, K. Wang. Summarizing Review Scores of Unequal Reviewers. SIAM International Conference on Data Mining 2007

B. Fung, K. Wang, P. S. Yu. Anonymizing Classification Data for Privacy Preservation. IEEE Transaction on Knowledge and Data Engineering 19(5) 711-725, 2007

K. Wang, B. C. M. Fung, and P. S. Yu. Handicapping Attacker's Confidence: An Alternative to k-Anonymization. Invited paper, Knowledge and Information Systems: An International Journal, 11(3):345-368, April 2007.

T. Jiang, A. H. Tan, K. Wang. Mining Generalized Associations of Semantic Relations from Textual Web Content. IEEE Transactions on Knowledge and Data Engineering Knowledge and Data Engineering, Special Issue on Semantic Web, Vol. 19 No. 2 2007. Also available at here

Y. T. Lai, K. Wang, D. Ling, H. Shi and J. Zhang. Direct Marketing When There Are Voluntary Buyers. ICDM 2006. "slides

Y. Xu, K. Wang, A. Fu, R. She and J. Pei. Classification Spanning Correlated Data Streams, CIKM 2006

K. Wang and B. Fung. Anonymizing Sequential Releases. SIGKDD 2006. Slides

H. W. Lauw, E. P. Lim, and K. Wang. Bias and Controversy: Beyond the Statistical Deviation. SIGKDD 2006

R. C. W. Wong, J. Li, A. W. C. Fu. and K. Wang. (alpha, k)-Anonymity: An Enhanced k-Anonymity Model for Privacy-Preserving Data Publishing. SIGKDD 2006

J. Pei, H. Wang, J. Liu, K. Wang, J. Wang, and P. S. YU. Discovering Frequent Closed Partial Orders from Strings. IEEE Transaction on Knowledge and Data Engineering, VOL. 18, NO. 11, NOVEMBER 2006

K. Wang, Y. Xu, R. She, P. Yu. Classification Spanning Private Databases. AAAI 2006

I. Pekerskaya, J. Pei, K. Wang. Miming changing regions from access-constrained snapshots: a cluster-embedded decision tree approach. Journal of Intelligent Information Systems, Special Issue on Mining Spatio-Temporal Data, Volume 27, Number 3, 215-242, November, 2006.

K. Wang, Y. Jiang, and A. Tuzhilin. Mining Actionable Patterns by Role Models. ICDE 2006.

Y. Jiang, K. Wang, A. Tuzhilin, and A. Fu. Mining Patterns That Respond to Actions. ICDM 2005.

K. Wang, B. Fung, and P. Yu. Template-Based Privacy Preservation in Classification Problems. ICDM 2005.

A. Fu, R. Wong, and K. Wang. Privacy-Preserving Frequent Pattern Mining across Private Databases. ICDM 2005.

J. Pei, J. Liu, H. Wang, K. Wang, P. Yu and J. Wang. Efficiently Mining Frequent Closed Partial Orders (Extended Abstract) ICDM 2005.

S. Zhou and K. Wang. Localization Site Prediction for Membrane Proteins by Integrating Rule and SVM Classification. IEEE Transaction on Knowledge and Data Engineering, Vol. 17, No. 10, December 2005

M. Choy, J. Pei and K. Wang. Answering Ad Hoc Aggregate Queries from Data Streams Using Prefix Aggregate Trees, KAIS: Knowledge and Information Systems - An International Journal, 2005. Also available here

R.C.W. Wong, A. Fu and K. Wang. Data mining for inventory item selection with cross-selling considerations. Journal of Data Mining and Knowledge Discovery, Volume 11, 2005, 81-112

K. Wang, S. Zhou, Q. Yang and J.M.S. Yeung. Mining customer value: from association rules to direct marketing. Journal of Data Mining and Knowledge Discovery, Vol. 11, No. 1, July 2005, 57-80

K. Wang, B. Fung and G. Dong. Integrating private databases for data analysis. IEEE International Conference on Intelligence and Security Informatics 2005 (IEEE ISI-2005), 171-182 Springer-Verlag

K. Wang, Y. Xu, P. S. Yu, and R. She. Building decision trees on records linked through key references. SIAM International Conference on Data Mining (SDM) 2005

R. She, K. Wang, Y. Xu and P.S. Yu. Pushing feature selection ahead of join. SIAM International Conference on Data Mining (SDM) 2005

B. Fung, K. Wang and P. Yu. Top-Down Specialization for Information and Privacy Preservation. ICDE 2005, 205-216, Software, Slides

K. Wang, J. Yuelong, J. Yu, G. Dong and J. Han. Divide-and-Approximate: a novel constraint push strategy for iceberg cube mining. IEEE Transaction on Knowledge and Data Engineering, Vol. 17, No. 3, March 2005, 354-368

B. Fung, K. Wang and M. Ester. Hierarchical document clustering. the Encyclopedia of Data Warehousing and Mining, Idea Group Reference, 2004

S. Zhou and K. Wang. Profit mining". the Encyclopedia of Data Warehousing and Mining, Idea Group Reference, 2004

K. Wang, Y. Xu, J. Yu. Scalable sequential pattern mining for biological sequences. Thirteenth Conference on Information and Knowledge Management 2004 (CIKM 2004), Nov, 2004.

K. Wang, P. Yu, and S. Chakraborty. Bottom-up generalization: a data mining solution to privacy protection. ICDM 2004

G. Dong, J. Han, J. Lam, J. Pei, K. Wang, W. Zou. Mining constrained gradients in large databases. IEEE Transaction on Knowledge and Data Engineering, Vol 16, No. 8, August 2004 (also available here

Q. Yang, T. Li, K. Wang. Building association rule based sequential classifiers for web document prediction. Journal of Data Mining and Knowledge Discovery, 8(3), 253-273, 2004. Also available here

R. She, F. Chen, K. Wang, M. Ester, J. L. Gardy, F. S. L. Brinkman. Identifying bacterial outer membrane proteins using frequent subsequences - a data mining approach, ISMB03 (Intelligent Systems for Molecular Biology, 2003), Brisbane, July, 2003

R. C. W. Wong, A. W. C. Fu, K. Wang. MPIS: Maximal-profit item selection with cross-selling considerations. ICDM, Melbourne, Nov, 2003

R. She, F. Chen, K. Wang, M. Ester, J. L. Gardy, F. S. L. Brinkman. Frequent-subsequence-based prediction of outer membrane proteins". SIGKDD 2003, Washington D.C., August, 2003, Slides

K. Wang, Y. Jiang, L. V.S. Lakshmanan. Mining unexpected rules by pushing user dynamics". SIGKDD 2003, Washington D.C., August, 2003, Slides

Jennifer Gardy, Cory Spencer, Ke Wang, Martin Ester, Tusnady GE, Simon, Sujun Hua, Katalin deFays, Christophe Lamb ert, Kenta Nakai, Fiona Brinkman. PSORT-B: Improving protein subcellular localization prediction for Gram-negative bacteria. Special web software issue, Nucleic Acids Research, Vol. 31, No. 13, 1-5, July 2003 ( a web-based version of the PSORT-B software for prediction of protein subcellular localization for Gram-negative bacteria )

K. Wang, S. Zhou, A. Fu, J. Yu. Mining changes of classification by correspondence tracing. SIAM International Conference on Data Mining 2003, May 2003, San Francisco Slides

B. C.M. Fung, K. Wang, M. Ester. Hierarchical document clustering using frequent itemsets SIAM International Conference on Data Mining 2003, San Francisco Slides , Software

Q. Yang, T. Li and K. Wang. Web-log cleaning for constructing Sequential classifiers International Journal of Applied Artificial Intelligence, Vol. 17, No. 5, Special Issue on Data Cleaning and Data Preparation in Data Mining. May/June 2003.

K. Wang, Y. He, J. Han Pushing support constraints into association rules mining, IEEE Transaction on Knowledge and Data Engineering, Vol. 15, No. 3, May/June 2003, 642-658

K. Wang, Y. Jiang, J. X. Yu, G. Dong, J. Han. Pushing aggregate constraints by divide-and-approximate, ICDE 2003, Bangalore, India, Slides

K. Wang, S. Zhou, J. M. S. Yeung, Q. Yang. Mining customer value: from association rules to direct marketing, ICDE 2003, Bangalore, India

Eric Ka Ka Ng, Ada Wai-chee Fu, Ke Wang, "Mining association rules from stars" The 2002 IEEE International Conference on Data Mining, Maebashi TERRSA, Maebashi City, Japan, December 9 - 12, 2002

Junqiang Liu, Yunhe Pan, Ke Wang, Jiawei Han "Mining frequent item sets by opportunistic projection" SIGKDD 2002, Edmonton, Slides

Ke Wang and Ming-Yen Su "Item selection by "hub-authority" profit ranking" SIGKDD 2002, Edmonton, Slides

Jiawei Han, Jianyong Wang, Guozhu Dong, Jian Pei, Ke Wang "CubeExplorer: online exploration of data cubes" SIGMOD 2002 system demo paper

Ke Wang, Liu Tang, Jiawei Han, Junqiang Liu "Top down FP-Growth for association rule mining" , the 6th Pacific Area Conference on Knowledge Discovery and Data Mining (PAKDD-2002), May 6-8, Taipei, Taiwan. Slides

Gao Cong, Lan Yi, Bing Liu and Ke Wang "Discovering frequent substructures from hierarchical semi-structured data", the Second SIAM International Conference on Data Mining (SDM-2002), April 11-13, 2002, Hyatt Regency, Crystal City, Arlington, VA, USA

Ke Wang, Senqiang Zhou, Jiawei Han "Profit mining: from patterns to actions", 2002 International Conference on Extending Database Technology (EDBT 2002). Slides

Ke Wang, Yu He, David Cheung, Francis Chin "Mining confident rulees without support requirement" , the 10th ACM International Conference on Information and Knowledge Management (CIKM 2001), Atlanta. Slides

Helen Pinto, Jiawei Han, Jian Pei, Ke Wang, Qiming Chen, Umeshwar Dayal "Multi-dimensional sequential pattern mining" , the 10th ACM Intednational Conference on Information and Knowledge Management (CIKM 2001), Atlanta. Slides

Guozhu Dong, Jiawei Han, Joyce Lam, Jian Pei, Ke Wang "Mining multi-dimensional constrained gradients in data cubes" , VLDB 2001

Ian Tianyi Li, Qiang Yang, Ke Wang "Classification pruning for web-request prediction" , 10th International Conference on WWW, 2001

Sonny H.S. Chee, Jiawei Han, Ke Wang "RecTree: An efficient collaborative filtering method" , Data Warehousing and Knowledge Discovery (DaWaK), Munich, Germany, Sept. 2001

Jiawei Han, Jian Pei, Guozhu Dong, Ke Wang "Efficient computation of iceberg cubes with complex measures", ACM SIGMOD 2001.

K. Wang, H.Q. Liu, "Mining Is-Part-of association patterns from semistructured data", the 9th IFIP 2.6 Working Conference on Database Semantics (DS-9), April 2001, Hong Kong

K. Wang, S. Zhou, Y. He, " Hierarchical classification of real life documents", the First SIAM International Conference on Data Mining, April 2001, Chicago. Slides

K. Wang, Y. He, "User-defined association Mining", PAKDD 2001, April, 2001, Hong Kong. Slides

K. Wang, Y. He, J. Han, "Mining frequent itemsets using support constraints", VLDB 2000, Cairo, Sept 2000, 43-52. Slides

K. Wang, S. Zhou, Y. He, "Growing decision trees on support-less association rules", SIGKDD 2000, Boston, August 2000, 265-269, Software

K. Wang, H.Q. Liu, "Discovering association of structure from semistructured objects". IEEE Transactions on Knowledge and Data Engineering, Vol 12, No. 3, May/June 2000, 353-371

W. Zhang and K. Wang, "An efficient evaluation of a fuzzy equi-join using fuzzy equality indicators". The IEEE Transactions on Knowledge and Data Engineering, Vol. 12, No. 2, March/April, 2000, 225-237

K. Wang, C. Xu, B. Ling, "Clustering transactions using large items", ACM CIKM'99 (Eighth International Conference on Information and Knowledge Management) November 2-6, 1999, Kansas City, 483-490, Software

K. Wang, S. Zhou, S.C. Liew, "Building hierarchical classifiers using class proximity", VLDB 1999, September 1999, Edinburgh, UK, Morgan Kaufmann, 363-374

B. Liu, W. Hsu, K. Wang, S. Chen, "Visually aided exploration of interesting association rules". Third Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), April 1999, Beijing. Lectures Notes in Artificial Intelligence 1574, 380-389

K. Wang, B. C. Ooi, S. Y. Sung, "P-Tree: A B-Tree index for lists". The International Conference on Database Systems for Advanced Applications, April 1999, Taiwan, IEEE Computer Society, 221-228

K. Wang, B. Liu, I. Png, "How many shoppers buy beer and diapers together?". Sunday Times Review, Oct 11, 1998, Singapore, pp 35

K. Wang and B. Liu, "Concurrent discretization of multiple attributes". The Pacific Rim International Conference on Artificial Intelligence (PRICAI 98), August 1998, Singapore, 250-259

B. Liu, K. Wang, L. F. Mun and X. Z. Qi, "Using decision tree induction for discovering holes in data". Pacific Rim International Conference on Artificial Intelligence (PRICAI 98), August 1998, Singapore, 182-193

K. Wang, W. Tay, B. Liu, "Interestingness-based interval merger for numeric association rules" . The International Conference on Knowledge Discovery and Data Mining, August 1998, New York City, AAAI, 121-128 (plenary presentation)

K. Wang, H.Q. Liu, "Discovering typical structures of documents: a road map approach" . The ACM SIGIR Conference on Research and Development in Information Retrieval, August 1998, 146-154

K. Wang, S. Sundaresh, "Selecting features by vertical compactness of data" . Feature Extraction: Construction and Selection. Edited by H. Liu and H. Motoda, 1998, Kluwer Academic Publishers, 71-83

K. Wang, H.Q. Liu, "Mining nested association patterns" . The SIGMOD97 Workshop on Research Issues on Data Mining and Knowledge Discovery, May 1997

K. Wang, "Discovering patterns from large and dynamic sequential data" , Special Issues on data Mining and Knowledge Discovery, Journal of Intelligent Information Systems, 9(1), 8-33, 1997, Kluwer Academic Publishers

K. Wang, H.C. Goh, "Minimum splits based discretization for continuous features" . The International Joint Conference on Artificial Intelligence, August 1997, Nagoya, Japan, 942-947

K. Wang, H.Q. Liu, "Schema discovery from semistructured data" . The International Conference on Knowledge Discovery and Data Mining, August 1997, Newport Beach, AAAI, 271-274

K. Wang, S. Sundaresh, "Selecting features by vertical compactness of data" . The International Conference on Knowledge Discovery and Data Mining, August 1997, Newport Beach, AAAI, 275-278

W. Zhang, K. Wang, "Fuzzy equi-join and its evaluation". The International Conference on Intelligent Systems, June 1997, Boston

K. Wang, W. Zhang, S.C. Chau, "Weakly indenpendent database schemes" . Acta Informatica 34, 1-22 (1997), Springer-Verlag, Federal Republic of Germany

W.C. Tan, K. Wang, L.S. Wong, "A graphical user interface to genome multidatabases" . Journal of Database Management, 9(1), 24-32, 1997, Idea Group Publishing, USA

K. Wang, J. Tan, "Incremental discovery of sequential patterns" . The ACM-SIGMOD's 96 Data Mining Workshop: On Research Issues on Data Mining and Knowledge Discovery, Montreal, Canada, May 1996, 95-102

S.Y. Sung, K. Wang, B.L. Chua, "Data mining in a large database environment". The 1996 IEEE International Conference on Systems, Man and Cybernetics, 1996, 988-993

W.C. Tan, K. Wang, L.S. Wong, "QUICK - a graphical user interface to multiple databases" . The Seventh International Workshop on Database and Expert Systems Applications, Sept 1996, Zurich, Switzerland, IEEE Computer Society Press, 404-409

K. Wang, W. Zhang,"Detecting data inconsistency for multidatabases" . The Ninth International Conference on Parallel and Distributed Computing Systems (PDCS'96), Vol II, Dejon, France, Sept 1996, 657-663

W. Zhang, K. Wang, and S.C. Chau, "Data partition and parallel evaluation of datalog programs". IEEE Transactions on Knowledge and Data Engineering, 7(1), Feb. 1995, IEEE Press, New York, 163-176

K. Wang, W. Zhang, S.C. Chau, "Decomposition of magic rewriting" . Journal of Association for Computing Machinery, 42(2), March 1995, ACM Press, New York, 329-381

K. Wang, "Some positive results for boundedness of multiple recursive rules" . Lecture Notes in Computer Science 893, Springer-Verlag, the International Conference on Database Theory, January 1995, Czech Republic, 383-396

K. Wang, W. Zhang, S.C. Chau, "Indexed step-wise semi-naive evaluation for recursive queries" . Special Issue of Journal of Computing and Information, 1995, Peterborough, Canada, 485-511

K. Wang and L. Y. Yuan, "First-order logic characterization of program properties". IEEE Transactions on Knowledge and Data Engineering, 6(4), August 1994, IEEE Press, New York, 518-533

K. Wang, W. Zhang, S.C. Chau, "Minimize linear mutual recursion by rule unfolding". The Fifth International Conference on Computing and Information, May 1993, Ontario, Canada, IEEE Computer Society Press, Los Alamitos, 98-102

H.J. Hernandez and K. Wang, "On the boundedness of constant-time-maintainable database schemes". SIAM Journal on Computing, 22(1), Feb. 1993, 29-45, SIAM, Philadelphia

K. Wang and M.H. Graham, "Constant-time-maintainability: a generalization of independence". ACM Transactions on Database Systems, 17(2), June 1992, 201-246, ACM Press, New York

K. Wang, "On characterizing boundedness of database schemes with bounded dependencies". Theoretical Computer Science 100, 1992, 347-364, Elsevier Science Publishers B.V., North-Holland, The Netherlands

K. Wang, "Polynomial tests of normal forms and some related results". Journal of Computer Science and Technology, 7(1), Jan. 1992, 75-82, Science Press, China, and Allerton Press, Inc. USA

K. Wang and L. Y. Yuan, "Preservation of integrity constraints in definite datalog programs". Information Processing Letter, 44(4), December 1992, 185-193, Elsevier Science Publishers B.V., North-Holland, The Netherlands

K. Wang and L.Y. Yuan, "Enforce constraints in archival database". The Fourth International Conference on Computing and Information, 1992, Toronto, Canada, IEEE Computer Society Press, Los Alamitos, 397-400

K. Wang and L.Y. Yuan, "Enforce database constraints by historical information". The Fourth International Conference on Computing and Information, 1992, Toronto, Canada, 369-372

W. Zhang, K. Wang, and S.C. Chau, "Data partition: a practical parallel evaluation of datalog programs". The First International Conference on Parallel and Distributed Information Systems, ACM SIGMOD & SIGARCH/IEEE Computer Society, Dec 1991, Miami Beach, IEEE Computer Society Press, Los Alamitos, 98-105

K. Wang and L.Y. Yuan, "First-order logic reducible programs". The Seventh International Conference on Data Engineering, 1991, Kobe (Japan), IEEE Computer Society Press, Los Alamitos, 746-755

K. Wang and L.Y. Yuan, "Incremental database design revisited". Lecture Notes in Computer Science 497, Springer Verlag. The Third International Conference on Computing and Information, 1991, Ottawa, Canada, 219-230

K. Wang, "Polynomial time designs towards both BCNF and efficient data manipulation". The ACM SIGMOD International Conference on Management of Data, 1990, Atlantic City, ACM Press, New York, 74-83

M.H. Graham and K. Wang, "On the equivalence of an egd to a set of Fd's". The Journal of Association for Computing Machinery, 37(3), July 1990, 474-490, ACM Press, New York

K. Wang, "Can constant-time-maintainability be more practical?" The Eighth ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems, 1989, Philadelphia, ACM Press, New York, 120-127

M.H. Graham and K. Wang, "Constant time maintenance or the triumph of fd's". The Fifth ACM SIGACT-SIGMOD Symposium on Principles of Database Systems, 1986, Boston, ACM Press, New York, 202-216