| 2008 |
|---|
| 117 | EE | Xindong Wu,
Vipin Kumar,
J. Ross Quinlan,
Joydeep Ghosh,
Qiang Yang,
Hiroshi Motoda,
Geoffrey J. McLachlan,
Angus Ng,
Bing Liu,
Philip S. Yu,
Zhi-Hua Zhou,
Michael Steinbach,
David J. Hand,
Dan Steinberg:
Top 10 algorithms in data mining.
Knowl. Inf. Syst. 14(1): 1-37 (2008) |
| 2007 |
|---|
| 116 | | Pavel Berkhin,
Rich Caruana,
Xindong Wu:
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Jose, California, USA, August 12-15, 2007
ACM 2007 |
| 115 | | Jilian Zhang,
Shichao Zhang,
Xiaofeng Zhu,
Xindong Wu,
Chengqi Zhang:
Measuring the Uncertainty of Differences for Contrasting Groups.
AAAI 2007: 1920-1921 |
| 114 | EE | Dan He,
Abdullah N. Arslan,
Yu He,
Xindong Wu:
Iterative Refinement of Repeat Sequence Specification Using Constrained Pattern Matching.
BIBE 2007: 1199-1203 |
| 113 | EE | Dan He,
Xindong Wu,
Xingquan Zhu:
SAIL-APPROX: An Efficient On-Line Algorithm for Approximate Pattern Matching with Wildcards and Length Constraints.
BIBM 2007: 151-158 |
| 112 | EE | Xingquan Zhu,
Xindong Wu:
Discovering Relational Patterns across Multiple Databases.
ICDE 2007: 726-735 |
| 111 | EE | Dacheng Tao,
Xuelong Li,
Xindong Wu,
Stephen J. Maybank:
General Averaged Divergence Analysis.
ICDM 2007: 302-311 |
| 110 | EE | Yan Zhang,
Xindong Wu:
Noise Modeling with Associative Corruption Rules.
ICDM 2007: 733-738 |
| 109 | EE | Xingquan Zhu,
Xindong Wu,
Taghi M. Khoshgoftaar,
Yong Shi:
An Empirical Study of the Noise Impact on Cost-Sensitive Learning.
IJCAI 2007: 1168-1174 |
| 108 | EE | Xingquan Zhu,
Xindong Wu:
Mining Complex Patterns across Sequences with Gap Requirements.
IJCAI 2007: 2934-2941 |
| 107 | EE | Yu He,
Xindong Wu,
Xingquan Zhu,
Abdullah N. Arslan:
Mining Frequent Patterns with Wildcards from Biological Sequences.
IRI 2007: 329-334 |
| 106 | EE | Xuegang Hu,
Dongbo Wang,
Xindong Wu:
Varying Density Spatial Clustering Based on a Hierarchical Tree.
MLDM 2007: 188-202 |
| 105 | EE | Kui Yu,
Hao Wang,
Xindong Wu:
A Parallel Algorithm for Learning Bayesian Networks.
PAKDD 2007: 1055-1063 |
| 104 | EE | Xindong Wu:
Class Noise vs Attribute Noise: Their Impacts, Detection and Cleansing.
PAKDD 2007: 7-8 |
| 103 | EE | Xuegang Hu,
Junhua Shi,
Xindong Wu:
A New Algorithm for Attribute Reduction in Decision Tables.
RSFDGrC 2007: 37-46 |
| 102 | EE | Xindong Wu:
EIC Editorial: 2007 TKDE Editorial Board Changes.
IEEE Trans. Knowl. Data Eng. 19(10): 1305-1307 (2007) |
| 101 | EE | Christopher W. Clifton,
Xindong Wu,
Christos Faloutsos:
TKDE Guidelines for Survey Papers.
IEEE Trans. Knowl. Data Eng. 19(11): 1449 (2007) |
| 100 | EE | Dacheng Tao,
Xuelong Li,
Xindong Wu,
Stephen J. Maybank:
General Tensor Discriminant Analysis and Gabor Features for Gait Recognition.
IEEE Trans. Pattern Anal. Mach. Intell. 29(10): 1700-1715 (2007) |
| 99 | EE | Xuegang Hu,
Pei-Pei Li,
Xindong Wu,
Gong-Qing Wu:
A Semi-Random Multiple Decision-Tree Algorithm for Mining Data Streams.
J. Comput. Sci. Technol. 22(5): 711-724 (2007) |
| 98 | EE | Dacheng Tao,
Xuelong Li,
Xindong Wu,
Weiming Hu,
Stephen J. Maybank:
Supervised tensor learning.
Knowl. Inf. Syst. 13(1): 1-42 (2007) |
| 2006 |
|---|
| 97 | EE | Dacheng Tao,
Xuelong Li,
Stephen J. Maybank,
Xindong Wu:
Human Carrying Status in Visual Surveillance.
CVPR (2) 2006: 1670-1677 |
| 96 | EE | Xindong Wu:
User-Centered Agents for Structured Information Location on the Web.
EDOC 2006 |
| 95 | EE | Yan Zhang,
Xingquan Zhu,
Xindong Wu:
Corrective Classification: Classifier Ensembling with Corrective and Diverse Base Learners.
ICDM 2006: 1199-1204 |
| 94 | EE | Xingquan Zhu,
Xindong Wu:
Scalable Representative Instance Selection and Ranking.
ICPR (3) 2006: 352-355 |
| 93 | | Dan He,
Xindong Wu:
Ontology-based feature weighting for biomedical literature classification.
IRI 2006: 280-285 |
| 92 | EE | Hao Wang,
Kui Yu,
Xindong Wu,
Hongliang Yao:
Triangulation of Bayesian Networks Using an Adaptive Genetic Algorithm.
ISMIS 2006: 127-136 |
| 91 | EE | Shichao Zhang,
Feng Chen,
Xindong Wu,
Chengqi Zhang:
Identifying bridging rules between conceptual clusters.
KDD 2006: 815-820 |
| 90 | EE | Jiaqi Wang,
Chengqi Zhang,
Xindong Wu,
Hongwei Qi,
Jue Wang:
SVM-OD: SVM Method to Detect Outliers.
Foundations and Novel Approaches in Data Mining 2006: 129-141 |
| 89 | EE | Xingquan Zhu,
Xindong Wu,
Qijun Chen:
Bridging Local and Global Data Cleansing: Identifying Class Noise in Large, Distributed Data Datasets.
Data Min. Knowl. Discov. 12(2-3): 275-308 (2006) |
| 88 | EE | Ying Yang,
Xindong Wu,
Xingquan Zhu:
Mining in Anticipation for Concept Change: Proactive-Reactive Prediction in Data Streams.
Data Min. Knowl. Discov. 13(3): 261-289 (2006) |
| 87 | EE | Kaile Su,
Huijing Huang,
Xindong Wu,
Shichao Zhang:
A logical framework for identifying quality knowledge from different data sources.
Decision Support Systems 42(3): 1673-1683 (2006) |
| 86 | EE | Xindong Wu:
EIC Editorial: State of the Transactions.
IEEE Trans. Knowl. Data Eng. 18(1): 1-5 (2006) |
| 85 | EE | Xingquan Zhu,
Xindong Wu:
Class Noise Handling for Effective Cost-Sensitive Learning by Cost-Guided Iterative Classification Filtering.
IEEE Trans. Knowl. Data Eng. 18(10): 1435-1440 (2006) |
| 84 | EE | Xindong Wu:
EIC Editorial: TKDE Editorial Board Changes.
IEEE Trans. Knowl. Data Eng. 18(9): 1153-1155 (2006) |
| 83 | EE | Dacheng Tao,
Xiaoou Tang,
Xuelong Li,
Xindong Wu:
Asymmetric Bagging and Random Subspace for Support Vector Machines-Based Relevance Feedback in Image Retrieval.
IEEE Trans. Pattern Anal. Mach. Intell. 28(7): 1088-1099 (2006) |
| 82 | EE | Qiang Yang,
Xindong Wu:
10 Challenging Problems in Data Mining Research.
International Journal of Information Technology and Decision Making 5(4): 597-604 (2006) |
| 81 | EE | Gong Chen,
Xindong Wu,
Xingquan Zhu,
Abdullah N. Arslan,
Yu He:
Efficient string matching with wildcards and length constraints.
Knowl. Inf. Syst. 10(4): 399-419 (2006) |
| 80 | EE | Xingquan Zhu,
Xindong Wu,
Ying Yang:
Effective classification of noisy data streams with attribute-oriented dynamic classifier selection.
Knowl. Inf. Syst. 9(3): 339-363 (2006) |
| 2005 |
|---|
| 79 | EE | Shichao Zhang,
Xindong Wu,
Jilian Zhang,
Chengqi Zhang:
A Decremental Algorithm for Maintaining Frequent Itemsets in Dynamic Databases.
DaWaK 2005: 305-314 |
| 78 | EE | Dacheng Tao,
Xuelong Li,
Weiming Hu,
Stephen J. Maybank,
Xindong Wu:
Supervised Tensor Learning.
ICDM 2005: 450-457 |
| 77 | EE | Gong Chen,
Xindong Wu,
Xingquan Zhu:
Sequential Pattern Mining in Multiple Streams.
ICDM 2005: 585-588 |
| 76 | EE | Yan Zhang,
Xingquan Zhu,
Xindong Wu,
Jeffrey P. Bond:
ACE: An Aggressive Classifier Ensemble with Error Detection, Correction, and Cleansing.
ICTAI 2005: 310-317 |
| 75 | EE | Qijun Chen,
Xindong Wu,
Xingquan Zhu:
Scalable Inductive Learning on Partitioned Data.
ISMIS 2005: 391-403 |
| 74 | EE | Ying Yang,
Xindong Wu,
Xingquan Zhu:
Combining proactive and reactive predictions for data streams.
KDD 2005: 710-715 |
| 73 | EE | Gyesung Lee,
Xindong Wu,
Jinho Chon:
Rearranging data objects for efficient and stable clustering.
SAC 2005: 519-523 |
| 72 | | Ying Yang,
Geoffrey I. Webb,
Xindong Wu:
Discretization Methods.
The Data Mining and Knowledge Discovery Handbook 2005: 113-130 |
| 71 | EE | Xingquan Zhu,
Xindong Wu:
Cost-Constrained Data Acquisition for Intelligent Data Preparation.
IEEE Trans. Knowl. Data Eng. 17(11): 1542-1556 (2005) |
| 70 | EE | Xindong Wu:
EIC Editorial: TKDE Editorial Board Changes.
IEEE Trans. Knowl. Data Eng. 17(4): 443-446 (2005) |
| 69 | EE | Xingquan Zhu,
Xindong Wu,
Ahmed K. Elmagarmid,
Zhe Feng,
Lide Wu:
Video Data Mining: Semantic Indexing and Event Detection from the Association Perspective - Appendices.
IEEE Trans. Knowl. Data Eng. 17(5): (2005) |
| 68 | EE | Xingquan Zhu,
Xindong Wu,
Ahmed K. Elmagarmid,
Zhe Feng,
Lide Wu:
Video Data Mining: Semantic Indexing and Event Detection from the Association Perspective.
IEEE Trans. Knowl. Data Eng. 17(5): 665-677 (2005) |
| 67 | EE | Xindong Wu,
Christos Faloutsos:
Editorial: TKDE Topic Area Revisions.
IEEE Trans. Knowl. Data Eng. 17(6): 731-733 (2005) |
| 66 | EE | Jiaqi Wang,
Xindong Wu,
Chengqi Zhang:
Support vector machines based on K-means clustering for real-time business intelligence systems.
IJBIDM 1(1): 54-64 (2005) |
| 65 | EE | Xindong Wu,
Chengqi Zhang,
Shichao Zhang:
Database classification for multi-database mining.
Inf. Syst. 30(1): 71-88 (2005) |
| 2004 |
|---|
| 64 | | Xingquan Zhu,
Xindong Wu,
Ying Yang:
Error Detection and Impact-Sensitive Instance Ranking in Noisy Datasets.
AAAI 2004: 378-384 |
| 63 | EE | Jeffrey Stone,
Xindong Wu,
Marc Greenblatt:
An Intelligent Digital Library System for Biologists.
CSB 2004: 491-492 |
| 62 | EE | Xindong Wu:
Data Mining: Artificial Intelligence in Data Analysis.
IAT 2004: 7 |
| 61 | EE | Xingquan Zhu,
Xindong Wu:
Cost-Guided Class Noise Handling for Effective Cost-Sensitive Learning.
ICDM 2004: 297-304 |
| 60 | EE | Xingquan Zhu,
Xindong Wu,
Ying Yang:
Dynamic Classifier Selection for Effective Mining from Noisy Data Streams.
ICDM 2004: 305-312 |
| 59 | EE | Xindong Wu:
Knowledge Discovery in Multiple Databases.
ICTAI 2004: 2 |
| 58 | EE | Xingquan Zhu,
Xindong Wu:
Data Acquisition with Active and Impact-Sensitive Instance Selection.
ICTAI 2004: 721-726 |
| 57 | EE | Qijun Chen,
Xindong Wu,
Xingquan Zhu:
OIDM: Online Interactive Data Mining.
IEA/AIE 2004: 66-76 |
| 56 | EE | Ying Yang,
Xindong Wu,
Xingquan Zhu:
Dealing with Predictive-but-Unpredictable Attributes in Noisy Data Sources.
PKDD 2004: 471-483 |
| 55 | EE | Xindong Wu:
Data Mining: Artificial Intelligence in Data Analysis.
Web Intelligence 2004: 7 |
| 54 | EE | Xindong Wu,
Chengqi Zhang,
Shichao Zhang:
Efficient mining of both positive and negative association rules.
ACM Trans. Inf. Syst. 22(3): 381-405 (2004) |
| 53 | EE | Xingquan Zhu,
Xindong Wu:
Class Noise vs. Attribute Noise: A Quantitative Study.
Artif. Intell. Rev. 22(3): 177-210 (2004) |
| 52 | EE | Xindong Wu:
Data Mining: An AI Perspective.
IEEE Intelligent Informatics Bulletin 4: 23-26 (2004) |
| 51 | EE | Ying Yang,
Xindong Wu:
Parameter Tuning for Induction-Algorithm-Oriented Feature Elimination.
IEEE Intelligent Systems 19(2): 40-49 (2004) |
| 50 | EE | Qiang Yang,
Craig A. Knoblock,
Xindong Wu:
Guest Editors' Introduction: Mining Actionable Knowledge on the Web.
IEEE Intelligent Systems 19(6): 30-31 (2004) |
| 49 | EE | Xindong Wu:
Editorial: Introducing the New Editor-in-Chief.
Knowl. Inf. Syst. 6(6): 643-644 (2004) |
| 48 | EE | Xingquan Zhu,
Xindong Wu,
Jianping Fan,
Ahmed K. Elmagarmid,
Walid G. Aref:
Exploring video content structure for hierarchical summarization.
Multimedia Syst. 10(2): 98-115 (2004) |
| 2003 |
|---|
| 47 | | Xingquan Zhu,
Xindong Wu,
Qijun Chen:
Eliminating Class Noise in Large Datasets.
ICML 2003: 920-927 |
| 46 | | Xingquan Zhu,
Xindong Wu:
Mining Video Associations for Efficient Database Management.
IJCAI 2003: 1422- |
| 45 | EE | Shichao Zhang,
Xindong Wu,
Chengqi Zhang:
Multi-Database Mining.
IEEE Computational Intelligence Bulletin 2(1): 5-13 (2003) |
| 44 | EE | Xindong Wu,
Shichao Zhang:
Synthesizing High-Frequency Rules from Different Data Sources.
IEEE Trans. Knowl. Data Eng. 15(2): 353-367 (2003) |
| 43 | EE | Xindong Wu:
Online First publication.
Knowl. Inf. Syst. 5(1): 1 (2003) |
| 42 | EE | Xindong Wu,
Philip S. Yu,
Gregory Piatetsky-Shapiro:
Data Mining: How Research Meets Practical Development?
Knowl. Inf. Syst. 5(2): 248-261 (2003) |
| 41 | EE | Xingquan Zhu,
Jianping Fan,
Ahmed K. Elmagarmid,
Xindong Wu:
Hierarchical video content description and summarization using unified semantic and visual similarity.
Multimedia Syst. 9(1): 31-53 (2003) |
| 2002 |
|---|
| 40 | EE | Hao Huang,
Xindong Wu,
Richard Relue:
Association Analysis with One Scan of Databases.
ICDM 2002: 629-632 |
| 39 | | Xindong Wu,
Chengqi Zhang,
Shichao Zhang:
Mining Both Positive and Negative Association Rules.
ICML 2002: 658-665 |
| 38 | EE | Kalyani K. Manchi,
Xindong Wu:
Dynamic Refinement of Classification Rules.
ICTAI 2002: 189- |
| 37 | EE | Xindong Wu:
Knowledge discovery in very large databases.
SEKE 2002: 15 |
| 36 | EE | Xindong Wu:
Message from the TCCI Chair.
IEEE Computational Intelligence Bulletin 1(1): 1-2 (2002) |
| 35 | EE | Stephen Ransom,
Xindong Wu:
Using Knowledge Anchors to Reduce Cognitive Overheads.
IEEE Computer 35(11): 111-112 (2002) |
| 2001 |
|---|
| 34 | | Nick Cercone,
Tsau Young Lin,
Xindong Wu:
Proceedings of the 2001 IEEE International Conference on Data Mining, 29 November - 2 December 2001, San Jose, California, USA
IEEE Computer Society 2001 |
| 33 | | Richard Relue,
Xindong Wu,
Hao Huang:
Efficient Runtime Generation of Association Rules.
CIKM 2001: 466-473 |
| 32 | EE | Xindong Wu,
Daniel Ngu,
Sameer Pradhan:
User-Centered Agents for Structured Information Location.
E-Commerce Agents 2001: 323-331 |
| 31 | | Shichao Zhang,
Xindong Wu:
Large Scale Data Mining Based on Data Partitioning.
Applied Artificial Intelligence 15(2): 129-139 (2001) |
| 2000 |
|---|
| 30 | | Xindong Wu:
Building Intelligent Learning Database Systems.
AI Magazine 21(3): 61-68 (2000) |
| 29 | | Xindong Wu,
Kevin Cai:
Knowledge object modeling.
IEEE Transactions on Systems, Man, and Cybernetics, Part A 30(2): 96-107 (2000) |
| 1999 |
|---|
| 28 | EE | Xindong Wu:
Induction as Pre-processing.
PAKDD 1999: 114-122 |
| 27 | EE | Xindong Wu,
David Urpani:
Induction By Attribute Elimination.
IEEE Trans. Knowl. Data Eng. 11(5): 805-812 (1999) |
| 26 | | Benjamin W. Wah,
Xindong Wu:
Editorial.
Knowl. Inf. Syst. 1(1): 1-3 (1999) |
| 25 | | Xindong Wu,
Benjamin W. Wah:
Editorial.
Knowl. Inf. Syst. 1(2): 127 (1999) |
| 1998 |
|---|
| 24 | | Xindong Wu,
Kotagiri Ramamohanarao,
Kevin B. Korb:
Research and Development in Knowledge Discovery and Data Mining, Second Pacific-Asia Conference, PAKDD-98, Melbourne, Australia, April 15-17, 1998, Proceedings
Springer 1998 |
| 23 | | Xindong Wu,
William H. W. Lo:
Multi-layer Incremental Induction.
PRICAI 1998: 24-32 |
| 22 | | Daniel Siaw Weng Ngu,
Xindong Wu:
Interest Discovery for Incremental Web Exploration.
WebNet 1998 |
| 21 | EE | Thuy-Linh Nguyen,
Xindong Wu,
Sayed Sajeev:
Object-Oriented Modeling of Multimedia Documents.
Computer Networks 30(1-7): 578-582 (1998) |
| 20 | EE | Jason Lowder,
Xindong Wu:
Wide Area Selection as a Hyperdocument Search Interface.
Computer Networks 30(1-7): 658-659 (1998) |
| 19 | EE | Heng Li,
Xindong Wu:
Learning Design Knowledge as Generalization.
Cybernetics and Systems 29(2): 181-207 (1998) |
| 18 | EE | Meide Zhao,
Francis K. H. Quek,
Xindong Wu:
RIEVL: Recursive Induction Learning in Hand Gesture Recognition.
IEEE Trans. Pattern Anal. Mach. Intell. 20(11): 1174-1185 (1998) |
| 17 | | Xindong Wu,
Guang Fang,
Matjaz Gams:
LFA+: A Fast Chaining Algorithm for Rule-Based Systems.
Informatica (Slovenia) 22(3): (1998) |
| 16 | | Xindong Wu:
Rule Induction with Extension Matrices.
JASIS 49(5): 435-454 (1998) |
| 1997 |
|---|
| 15 | EE | Kevin Cai,
Xindong Wu,
Heinz W. Schmidt:
Schedular++: Scheduling with Knowledge Objects.
ICTAI 1997: 480-483 |
| 14 | | Honghua Dai,
Kevin B. Korb,
Chris S. Wallace,
Xindong Wu:
A Study of Causal Discovery With Weak Links and Small Samples.
IJCAI 1997: 1304-1309 |
| 13 | | Xindong Wu:
Hybrid Interpretation of `No Match' and `Multiple Match' in Induction.
Comput. J. 40(1): 50-57 (1997) |
| 12 | EE | Daniel Siaw Weng Ngu,
Xindong Wu:
SiteHelper: A Localized Agent That Helps Incremental Exploration of the World Wide Web.
Computer Networks 29(8-13): 1249-1255 (1997) |
| 11 | EE | Stephen Ransom,
Xindong Wu,
Heinz W. Schmidt:
Disorientation and Cognitive Overhead in Hypertext Systems.
International Journal on Artificial Intelligence Tools 6(2): 227-253 (1997) |
| 1996 |
|---|
| 10 | | Xindong Wu,
David Urpani,
James A. Sykes:
Rule Induction Without Decision Tree Construction.
ECAI 1996: 463-470 |
| 9 | | David Urpani,
Xindong Wu,
Jim Sykes:
RITIO - Rule Induction Two In One.
KDD 1996: 339-342 |
| 8 | | Xindong Wu:
A Bayesian Discretizer for Real-Valued Attributes.
Comput. J. 39(8): 688-691 (1996) |
| 1995 |
|---|
| 7 | EE | Xindong Wu:
SIKT: A Structured Interactive Knowledge Transfer Program.
IEA/AIE 1995: 787-795 |
| 6 | | Xindong Wu,
Petter Måhlén:
Fuzzy Interpretation of Induction Results.
KDD 1995: 325-330 |
| 5 | | Xindong Wu,
Sita Ramakrishnan,
Heinz W. Schmidt:
Knowledge Objects.
Informatica (Slovenia) 19(4): (1995) |
| 1994 |
|---|
| 4 | | Xindong Wu:
Lecture Notes in Machine Learning.
Informatica (Slovenia) 18(2): (1994) |
| 1993 |
|---|
| 3 | EE | Xindong Wu:
The HCV Induction Algorithm.
ACM Conference on Computer Science 1993: 168-175 |
| 2 | EE | Xindong Wu:
Inductive learning: Algorithms and frontiers.
Artif. Intell. Rev. 7(2): 93-108 (1993) |
| 1 | | Xindong Wu:
A Prolog-Based Presentation for Integrating Knowledge and Data.
Informatica (Slovenia) 17(2): (1993) |
