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- Short Papers___________________________________________________________________________________________________ Mining Multiple-Level Association
- Rule Induction with Extension Matrices Department of Software Development
- Developing an AI Curriculum for Computer Science Majors
- Human Carrying Status in Visual Surveillance Dacheng Tao1
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- F. Esposito et al. (Eds.): ISMIS 2006, LNAI 4203, pp. 127 136, 2006. Springer-Verlag Berlin Heidelberg 2006
- Noise Modeling with Associative Corruption Rules Yan Zhang and Xindong Wu
- Modeling and Optimizing Hypertextual Search Engines Based on the Reasearch of Larry Page and Sergey Brin
- Applied Articial Intelligence, 15:129139, 2001 Copyright 2001 Taylor & Francis
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- Data Mining and Knowledge Discovery, to appear, 1--28 (1997) fl 1997 Kluwer Academic Publishers, Boston. Manufactured in The Netherlands.
- David Heckerman Microsoft Research
- Video Data Mining: Semantic Indexing and Event Detection
- Digital Object Identifier (DOI) 10.1007/s00530-003-0076-5 Multimedia Systems 9: 3153 (2003) Multimedia Systems
- Logical Foundations for the Semantic Web Reasoning with Expressive Description Logics: Theory and Practice
- Mining Sequential Patterns Rakesh Agrawal Ramakrishnan Srikant \Lambda
- DataWarehousing Conference,
- Knowledge Acquisition from Databases Monash University, Australia
- Efficient Mining of Both Positive and Negative Association Rules
- 1(C) 2005 2010 by Xindong Wu How to Write and PublishHow to Write and Publish
- Mining Association Rules between Sets of Items in Large Databases Rakesh Agrawal Tomasz Imielinski \Lambda Arun Swami
- IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, VOL. 20, NO. 12, DECEMBER 2008 1585 TKDE 20(12) (December 2008) EIC Editorial
- Data Mining and Data Warehousing, July 31, 1999, NUS, Singapore Data Mining
- Knowl Inf Syst (2006) 10(4): 399419 DOI 10.1007/s10115-006-0016-8
- Communications of the International Information Management Association, Volume 4, Issue A Semantic Network for Modeling Biological
- Data Mining and Knowledge Discovery, 13, 261289, 2006 c 2006 Springer Science + Business Media, LLC. Manufactured in the United States.
- Error Detection and Impact-Sensitive Instance Ranking in Noisy Datasets Xingquan Zhu, Xindong Wu, and Ying Yang
- General Averaged Divergence Analysis Dacheng Tao 1
- The recurring appearance of sequential patterns, when confined by the predefined gap requirements,
- An Empirical Study of the Noise Impact on Cost-Sensitive Learning Xingquan Zhu1, 3
- Relational patterns across multiple databases can reveal special pattern relationships hidden inside data collections. Existing
- Asymmetric Bagging and Random Subspace for Support Vector Machines-Based
- Class Noise Handling for Effective Cost-Sensitive Learning by Cost-Guided
- Data Mining and Knowledge Discovery, 12, 275308, 2006 c 2005 Springer Science + Business Media, Inc. Manufactured in the United States.
- Knowl Inf Syst (2006) 9(3): 339363 DOI 10.1007/s10115-005-0212-y
- Corrective Classification: Classifier Ensembling with Corrective and Diverse Base Learners
- USING AN EXTENDED SUFFIX TREE TO SPEED-UP SEQUENCE ALIGNMENT
- Error Awareness Data Mining Xingquan Zhu, Member, IEEE, and Xindong Wu, Senior Member, IEEE
- Scalable Representative Instance Selection and Ranking Xingquan Zhu and Xindong Wu
- Cost-Constrained Data Acquisition for Intelligent Data Preparation
- Sequential Pattern Mining in Multiple Streams Gong Chen Xindong Wu Xingquan Zhu
- Rearranging Data Objects for Efficient and Stable Gyesung Lee
- ACE: An Aggressive Classifier Ensemble with Error Detection, Correction and Cleansing*
- Digital Object Identifier (DOI) 10.1007/s00530-004-0142-7 Multimedia Systems 10: 98115 (2004) Multimedia Systems
- Dynamic Classifier Selection for Effective Mining from Noisy Data Streams Xingquan Zhu, Xindong Wu, and Ying Yang
- Efficient Runtime Generation of Association Rules* Richard Relue Xindong Wu
- 96 IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS--PART A: SYSTEMS AND HUMANS, VOL. 30, NO. 2, MARCH 2000 Knowledge Object Modeling
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- catch catch catch catch
- A Comparison of Objects with Frames and OODBs Department of Software Development
- ~Flat(Spare) Intact(Spare) Off(Spare) On(Tire1) Flat(Tire1)
- Buy Tuna Fish Buy Arugula
- Customer RelaCustomer Rela University of
- Discovering Robust Knowledge from Databases that Chun-Nan Hsu Craig A. Knoblock
- Discriminant Adaptive Nearest Neighbor Classification rrrevor Hastie
- Text Mining: Finding Nuggets in Mountains of Textual Data
- How to Write and PublishHow to Write and Publish Research Papers for the Premier ForumsResearch Papers for the Premier ForumsResearch Papers for the Premier ForumsResearch Papers for the Premier Forums
- Data Warehousing and Data Mining Conference, January 25, 1999, Singapore Data Mining:Data Mining
- SEKE 2002 Keynote Speech, Ischia, Italy, July 16, 2002 1 Knowledge DiscoveryKnowledge Discovery
- Data Mining: Opportunities and Challenges
- Chapter 22 1 Communication
- ELAPSED TIME IN HUMAN GAIT RECOGNITION: A NEW APPROACH Dacheng Tao1
- Combining Proactive and Reactive Predictions for Data Streams
- Welcome to ICDM 2003 Welcome to IEEE Data Mining 2003, the Third IEEE International Conference on Data Mining (ICDM '03).
- Conceptual equivalence for contrast mining in classification learning Ying Yang a,*, Xindong Wu b
- M.-S. Hacid et al. (Eds.): ISMIS 2005, LNAI 3488, pp. 391 403, 2005. Springer-Verlag Berlin Heidelberg 2005
- Information Exploration
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- A Decremental Algorithm for Maintaining Frequent Itemsets in Dynamic Databases*
- Information Systems 30 (2005) 7188 Database classification for multi-database mining
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- Dealing with Predictive-but-Unpredictable Attributes in Noisy Data Sources
- Game playing Chapter 6 1
- November 2002 111 W E B T E C H N O L O G I E S
- Cost-guided Class Noise Handling for Effective Cost-sensitive Learning Xingquan Zhu and Xindong Wu
- Proceedings of the Twentieth International Conference on Machine Learning (ICML-2003), Washington DC, 2003. Eliminating Class Noise in Large Datasets
- Top 10 Algorithms in Data Mining Xindong Wu ( )
- gSpan: Graph-Based Substructure Pattern Mining Xifeng Yan Jiawei Han
- Efficiently Mining Frequent Trees in a Forest Mohammed J. Zaki
- Association Analysis with OneAssociation Analysis with One Scan of Databases
- O li St i F t S l tiOnline Streaming Feature Selection by Xindong Wu, Kui Yu, Hao Wang, Wei Ding
