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Research
Data Mining :: Publications
- Dacheng Tao, Xuelong Li, Xindong Wu, and Steve Maybank, General Tensor Discriminant Analysis and Gabor Features for Gait Recognition, IEEE Transactions on Pattern Analysis and Machine Intelligence, accepted, to appear.
- Dacheng Tao, Xuelong Li, Xindong Wu, Weiming Hu, and Steve Maybank, Supervised Tensor Learning, Knowledge and Information Systems, accepted, to appear.
- Guojun Mao, Xindong Wu, Xingquan Zhu, Gong Chen, and Chunnian Liu, Mining Maximal Frequent Itemsets from Data Streams, Journal of Information Science, accepted, to appear.
- Xingquan Zhu and Xindong Wu, Mining
Complex Patterns across Sequences with Gap Requirements
,
Proceedings of the
20th International Joint Conference on Artificial Intelligence
(IJCAI-07) (acceptance rate: 212/1353 for regular, oral
presentations), Hyderabad, India, January 6-12, 2007, 2934-2940.
- Xingquan Zhu, Xindong Wu, Taghi M. Khoshgoftaar, and Yong Shi, An
Empirical Study of the Noise Impact on Cost-Sensitive Learning,
Proceedings of the
20th International Joint Conference on Artificial Intelligence
(IJCAI-07) (acceptance rate: 212 regular papers + 258 poster
papers, out of 1353 submissions), Hyderabad, India, January 6-12,
2007, 1168-1173.
- Xingquan Zhu and Xindong Wu, Discovering Relational Patterns across Multiple Databases, Proceedings of the 23rd IEEE International Conference on Data Engineering (ICDE 2007) (acceptance rate: 122/659 for full papers), April 16-20, 2007, The Marmara Hotel, Istanbul, Turkey.
- Kui Yu, Hao Wang, and Xindong Wu, A Parallel Algorithm for Learning Bayesian Networks, Proceedings of the 11th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2007) (acceptance rate: 17.67%), Nanjing, China, 22-25 May 2007.
- Dacheng Tao, Xiaoou Tang, Xuelong Li, and Xindong Wu, Asymmetric Bagging and Random Subspace for Support
Vector Machines-Based Relevance Feedback in Image Retrieval, IEEE
Transactions on Pattern Analysis and Machine Intelligence,
28(2006), 7: 1088-1099.
- Xingquan Zhu and Xindong Wu, Class Noise Handling for Effective Cost-Sensitive
Classification by Cost-Guided Iterative Classification Filtering,
IEEE
Transactions on Knowledge and Data Engineering,
18(2006), 10: 1435-1440.
- Xingquan Zhu, Xindong Wu, and Qijun Chen, Bridging Local and Global Data Cleansing: Identifying
Class Noise in Large, Distributed Datasets, Data Mining and Knowledge Discovery,
12(2006), 2: 275-308.
- Ying Yang, Xindong Wu, and Xingquan Zhu, Mining in Anticipation for Concept Change:
Proactive-Reactive Prediction in Data Streams,
Data Mining and Knowledge Discovery,
13(2006), 3: 261-289.
- Xingquan Zhu, Xindong Wu, and Ying Yang, Effective Classification of Noisy Data Streams with
Attribute-Oriented Dynamic Classifier Selection,
Knowledge and
Information Systems, 9(2006), 3: 339-363.
- Gong Chen, Xindong Wu, Xingquan Zhu, Abdullah N. Arslan, and Yu
He, Efficient String Matching with Wildcards and Length
Constraints, Knowledge and
Information Systems, 10(2006), 4: 399-419.
- Kaile Su, Huijing Huang, Xindong Wu, and Shichao Zhang, A Logical Framework for Identifying Quality Knowledge from Different Data Sources, Decision Support Systems, 42(2006), 3: 1673-1683.
- Qiang Yang and Xindong Wu (Contributors: Pedro Domingos, Charles Elkan, Johannes Gehrke, Jiawei Han, David Heckerman, Daniel Keim, Jiming Liu, David Madigan, Gregory Piatetsky-Shapiro, Vijay V. Raghavan, Rajeev Rastogi, Salvatore J. Stolfo, Alexander Tuzhilin, and Benjamin W. Wah), 10 Challenging Problems in Data Mining Research, International Journal of Information Technology & Decision Making, Vol. 5, No. 4, 2006, 597-604.
- Shichao Zhang, Feng Chen, Xindong Wu, and Chengqi Zhang, Identifying Bridging Rules between Conceptual Clusters, Proceedings of the 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2006) (acceptance rate: 23%), August 20 - 23, 2006, Philadelphia, USA, 815-820.
- Yan Zhang, Xingquan Zhu, and Xindong Wu, Corrective
Classification: A Classifier Ensemble with Corrective and Diverse Base
Learners,
Proceedings of the 6th
IEEE International Conference on Data Mining (ICDM '06)
(acceptance rate: 73 regular papers + 79 short papers out of 776
submissions), Hong Kong Convention and Exhibition Centre, Hong Kong,
China, 18-22 December 2006, 1199-1204.
- Dacheng Tao, Xuelong Li, Xindong Wu, and Steve Maybank, Elapsed
Time in Human Gait Recognition: A New Approach,
Proceedings of the 31st IEEE
International Conference on Acoustics, Speech, and Signal Processing
(ICASSP 2006) (acceptance rate: 1465/3045), Toulouse, France, May
14-19, 2006, Volume 2, 177-180.
- Divya Singh, Abdullah Arslan, and Xindong Wu, Using an Extended Suffix Tree to Speed-Up Sequence
Alignment,
Proceedings of
the IADIS International Conference on Applied Computing 2006,
San Sebastian, Spain, 25-28 February 2006, 655-660.
- Xingquan Zhu and Xindong Wu, Error Awareness Data Mining,
Proceedings of 2006 IEEE International Conference on Granular
Computing (IEEE GrC 2006) (acceptance rate 49/321 for 6-page
papers), Atlanta, USA, May 10-12, 2006, 269-274.
- Xingquan Zhu and Xindong Wu, Scalable
Representative Instance Selection and Ranking,
Proceedings of the 18th International Conference on Pattern
Recognition (ICPR 2006), 20-24 August 2006, Hong Kong,
Volume 3, 352-355.
- Dan He and Xindong Wu, Ontology-Based Feature Weighting for Biomedical Literature Classification, Proceedings of the 2006 IEEE International Conference on Information Reuse and Integration (IEEE IRI-2006) (acceptance rate: 97/185 for regular papers), September 16-18, 2006, Waikoloa, Hawaii, USA, 280-285.
- Xindong Wu, Chengqi Zhang, and Shichao Zhang, Database
Classification for Multi-Database Mining, Information Systems, 30(2005), 1:
71-88.
- Xingquan Zhu, Xindong Wu, Ahmed K. Elmagarmid, Zhe Feng, and Lide
Wu, Video Data Mining: Semantic Indexing and Event Detection
from the Association Perspective,
IEEE
Transactions on Knowledge and Data Engineering,
17(2005), 5: 665-677.
- Xingquan Zhu and Xindong Wu, Cost-Constrained Data Acquisition
for Intelligent Data Preparation,
IEEE
Transactions on Knowledge and Data Engineering,
17(2005), 11: 1542-1556.
- Jiaqi Wang, Xindong Wu, and Chengqi Zhang,
Support Vector
Machines based on K-Means Clustering for Real-Time Business
Intelligence Systems,
International Journal of Business Intelligence and
Data Mining, 1(2005), 1: 54-64.
- Hao Huang, Xindong Wu, and Richard Relue, Mining Frequent Patterns with the Pattern Tree, New Generation Computing, 23(2005), 4: 315-337.
- Ying Yang, Xindong Wu, and Xingquan Zhu, Combining
Proactive and Reactive Predictions for Data Streams,
Proceedings of the 11th ACM SIGKDD International Conference on
Knowledge Discovery and Data Mining (KDD-2005) (acceptance
rate: 40 full papers + 36 short papers, out of 358 research-track
submissions), Chicago, IL, USA, August 21-24, 2005, 710-715.
- Dacheng Tao, Xuelong Li, Weiming Hu, Stephen Maybank, and Xindong
Wu, Supervised Tensor Learning,
Proceedings of the Fifth IEEE International Conference on Data Mining
(ICDM '05) (acceptance rate: 69/630 for regular papers),
Houston, TX, USA, 27 - 30 November 2005, 450-457.
- Gong Chen, Xindong Wu, and Xingquan Zhu, Sequential Pattern Mining in Multiple Data
Streams,
Proceedings of the Fifth IEEE International Conference on Data Mining
(ICDM '05) (acceptance rate: 69 regular papers + 72 short
papers, out of 630 submissions), Houston, TX, USA, 27 - 30 November
2005, 585-588.
- Shichao Zhang, Xindong Wu, Jilian Zhang, and Chengqi Zhang, A Decremental Algorithm for Maintaining Frequent
Itemsets in Dynamic Databases,
Proceedings of the 7th International Conference on Data Warehousing and
Knowledge Discovery (DaWaK 2005) (acceptance rate: 52/162), 22
- 26 August 2005, Copenhagen, Denmark, 305-314.
- Gyesung Lee, Xindong Wu, and Jinho Chon, Rearranging Data
Objects for Efficient and Stable Clustering,
Proceedings of the
20th Annual ACM Symposium on Applied Computing (SAC 2005)
(acceptance rate: 12/35 for full papers at the Special Track on Data
Mining), Santa Fe, New Mexico, March 13 - 17, 2005, 519-524.
- Qijun Chen, Xindong Wu, and Xingquan Zhu, Scalable Inductive Learning on Partitioned Data,
Proceedings of the 15th International Symposium on Methodologies for
Intelligent Systems (ISMIS 2005) (acceptance rate: 69 out of
``almost 200'' submissions), May 26-28, 2005, Saratoga Springs, New York, 391-403. - Yan Zhang, Xingquan Zhu, Xindong Wu, and Jeffrey P. Bond, ACE: An
Aggressive Classifier Ensemble with Error Detection, Correction and
Cleansing
(this paper won the Best Paper Award of the
conference),
Proceedings of the
17th IEEE International Conference on Tools with Artificial
Intelligence (ICTAI 2005) (acceptance rate: 36/297 for regular
papers), Hong Kong, November 14-16, 2005, 310-317.
- Guojun Mao, Xindong Wu, Chunnian Liu, Yue Sun, and Xu Liu, An Association Matrix Structure for Mining Key Event Sequences Over Sliding Windows, Proceedings of the 3rd International Conference on Computer Science and its Applications (ICCSA-2005), June 28-30, 2005, San Diego, California, 59-63.
- Like Gao and X. Sean Wang, Feature Selection for Building Cost-Effective Data Stream Classifiers, Proceedings of the Fifth IEEE International Conference on Data Mining (ICDM '05) (acceptance rate: 69 regular papers + 72 short papers, out of 630 submissions), Houston, TX, USA, 27 - 30 November 2005, 621-624.
- Shichao Zhang, Chengqi Zhang, and Xindong Wu, Knowledge Discovery in Multiple Databases, Springer, 2004. ISBN 1-85233-703-6.
- Xindong Wu, Chengqi Zhang, and Shichao Zhang, Efficient Mining of Both Positive and Negative
Association Rules, ACM Transactions on
Information Systems, 22(2004), 3: 381-405.
- Xindong Wu, Data
Mining: An AI Perspective,
The IEEE Intelligent Informatics Bulletin,
4(2004), 2: 23-26.
- Ying Yang and Xindong Wu, Parameter Tuning for Induction Algorithm Oriented
Feature Elimination, IEEE
Intelligent Systems, 19(2004), 2: 40-49.
- Xingquan Zhu and Xindong Wu, Class Noise vs Attribute Noise: A Quantitative Study of Their Impacts, Artificial Intelligence Review, 22(2004), 3-4: 177-210.
- Xingquan Zhu, Xindong Wu, and Ying Yang, Error Detection and Impact-Sensitive Instance
Ranking in Noisy Datasets,
Proceedings of the 19th National Conference on Artificial Intelligence
(AAAI-04) (acceptance rate: 121/453), July 25-29, 2004, San
Jose, California, 378-383.
- Ying Yang, Xindong Wu, and Xingquan Zhu, Dealing with Predictive-but-Unpredictable
Attributes in Noisy Data Sources,
Proceedings of the 8th European
Conference on Principles and Practice of Knowledge Discovery in
Databases (PKDD) (acceptance rate: 39/301 for regular papers),
Pisa, Italy, September 20-24, 2004, 471-483.
- Jeffrey Stone, Xindong Wu, and Mark Greenblatt, An Intelligent Digital Library System for Computational
Biologists (a poster
paper; abstract refereed), Proceedings of the 2004 IEEE Computational Systems Bioinformatics
Conference (CSB2004), Stanford, CA, August 16-19, 2004,
491-492.
- Xingquan Zhu and Xindong Wu, Cost-Guided Class Noise Handling for Effective
Cost-Sensitive Learning
,
Proceedings of the Fourth IEEE
International Conference on Data Mining (ICDM '04) (acceptance
rate: 39/451 for regular papers), Brighton, UK, November 1 - 4, 2004,
297-304.
- Xingquan Zhu, Xindong Wu, and Ying Yang, Dynamic Classifier Selection for Effective Mining from
Noisy Data Streams,
Proceedings of the Fourth IEEE International Conference on Data Mining
(ICDM '04) (acceptance rate: 39/451 for regular papers),
Brighton, UK, November 1 - 4, 2004, 305-312.
- Xingquan Zhu and Xindong Wu, Data Acquisition with Active and Impact-Sensitive Instance Selection, Proceedings of the 16th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2004) (acceptance rate: 54 regular papers + 47 short papers, out of 205 submissions), November 15-17, 2004, Boca Raton, Florida, 721-726.
- Xindong Wu, Alex Tuzhilin, and Jude Shavlik (Eds), Proceedings
of the
3rd IEEE International Conference on Data Mining (ICDM '03),
Melbourne, Florida, USA, November 19 - 22, 2003. IEEE Computer Society
Press, California, USA. ISBN 0-7695-1978-4. [Welcome
to ICDM 2003]
- Xindong Wu and Shichao Zhang, Synthesizing High-Frequency Rules from Different Data Sources, IEEE Transactions on Knowledge and Data Engineering, 15(2003), 2: 353-367.
- Xindong Wu, Philip S. Yu, Gregory Piatetsky-Shapiro, Nick Cercone, T.Y. Lin, Ramamohanarao Kotagiri, and Benjamin W. Wah, Data Mining: How Research Meets Practical Development?, Knowledge and Information Systems, 5(2003), 2: 248-261.
- Shichao Zhang, Xindong Wu, and Chengqu Zhang, Multi-Database
Mining,
The IEEE
Computational Intelligence Bulletin, 2(2003), 1: 5-13.
- Xingquan Zhu and Xindong Wu, Mining Video Associations for Efficient Database Management, Proceedings of the 18th International Joint Conference on Artificial Intelligence (IJCAI-03) (acceptance rate: 189 regular papers + 63 poster papers, out of 913 full-paper submissions), Acapulco, Mexico, August 12-15, 2003, 1422-1424.
- Xingquan Zhu, Xindong Wu, and Qijun Chen, Eliminating Class Noise
in Large Datasets,
Proceedings of
the 20th International Conference on Machine Learning
(ICML-2003) (acceptance rate: 119/371), Washington D.C., USA,
August 21-24, 2003, 920-927.
- Xingquan Zhu and Xindong Wu, Sequential Association Mining for Video Summarization, Proceedings of the 2003 IEEE International Conference on Multimedia & Expo (ICME 2003) (acceptance rate: 440/760), Baltimore, MD, July 6-9, 2003, Volume 3, 333-336.
- Jiaqi Wang, Chengqi Zhang, Xindong Wu, Hongwei Qi, and Jue Wang, SVM-OD: A New SVM Algorithm for Outlier Detection, Proceedings of ICDM '03 Workshop on Foundations and New Directions of Data Mining (acceptance rate: 33/62), Melbourne, Florida, USA, November 19, 2003, 203-209.
- Shichao Zhang, Xindong Wu, Chengqi Zhang, and Kaile Su, Identifying Quality Knowledge from Different Data Sources, Proceedings of ICDM '03 Workshop on Foundations and New Directions of Data Mining (acceptance rate: 33/62), Melbourne, Florida, USA, November 19, 2003, 234-242.
- Xindong Wu, Chengqi Zhang, and Shichao Zhang, Mining
Both Positive and Negative Association Rules,
Proceedings of the 19th
International Conference on Machine Learning (ICML-2002)
(acceptance rate: 86/261), The University of New South Wales, Sydney,
Australia, 8-12 July 2002, 658-665.
- Hao Huang, Xindong Wu, and Richard Relue, Association Analysis with One Scan of Databases, Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM '02) (acceptance rate: 72 regular papers + 49 short papers & industry-track papers, out of 369 submissions), Maebashi TERRSA, Maebashi City, Japan, December 9 - 12, 2002, 629-632.
- Kalyani K. Manchi and Xindong Wu, Dynamic Refinement of Classification Rules, Proceedings of the 14th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2002) (acceptance rate: 27 regular papers + 24 short papers, out of 84 submissions), Washington D.C., November 4-6, 2002, 189-196.
- Richard Relue and Xindong Wu, Rule Generation with the Pattern Repository (Plenary Talk), Proceedings of the 2002 IEEE International Conference on Artificial Intelligence Systems (IEEE AIS-02), Gelendzhik, Black Sea Cost, Russia, September 5-10, 2002, 186-191.
- Nick Cercone, T.Y. Lin, and Xindong Wu (Eds), Proceedings of
the
2001 IEEE International Conference on Data Mining (ICDM '01),
Doubletree Hotel, San Jose, California, USA, November 29 - December 2,
2001. IEEE Computer Society Press, California, USA. ISBN
0-7695-1119-8. [Welcome
from the Steering Committee Chair (pp xiii-xiv)]
- Shichao Zhang and Xindong Wu, Large Scale
Data Mining Based on Data Partitioning, Applied Artificial Intelligence,
15(2001), 2: 129-139.
- Richard Relue, Xindong Wu, and Hao Huang, Efficient Runtime
Generation of Association Rules,
Proceedings of the 10th ACM International Conference on Information and
Knowledge Management (ACM CIKM 2001) (acceptance rate: 66/259
for regular papers), Doubletree Hotel Atlanta-Buckhead, Atlanta,
Georgia, USA, November 5-10, 2001, 466-473.
- Robert R. Snapp and Tong Xu, Estimating the Bayes Risk from Sample Data, NIPS 1995: 232-238.
- Demetri Psaltis, Robert R. Snapp, and Santosh S. Venkatesh, On the finite sample performance of the nearest neighbor classifier, IEEE Transactions on Information Theory, 40(1994), (3): 820-837.
- Santosh S. Venkatesh, Robert R. Snapp, and Demetri Psaltis, Bellman Strikes Again! The Growth Rate of Sample Complexity with Dimension for the Nearest Neighbor Classifier, COLT 1992, 93-102.
- Robert R. Snapp, Demetri Psaltis, Santosh S. Venkatesh, Asymptotic Slowing Down of the Nearest-Neighbor Classifier. NIPS 1990, 932-938.