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Jiawei Han

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2007
308 Deng Cai, Xiaofei He, Jiawei Han: Isometric Projection. AAAI 2007: 528-533
307EEDeng Cai, Xiaofei He, Jiawei Han: Spectral regression: a unified subspace learning framework for content-based image retrieval. ACM Multimedia 2007: 403-412
306EEJiawei Han: Exploring the Power of Links in Data Mining. APWeb/WAIM 2007: 2
305EEDeng Cai, Xiaofei He, Wei Vivian Zhang, Jiawei Han: Regularized locality preserving indexing via spectral regression. CIKM 2007: 741-750
304EEDeng Cai, Xiaofei He, Yuxiao Hu, Jiawei Han, Thomas S. Huang: Learning a Spatially Smooth Subspace for Face Recognition. CVPR 2007
303EEXiaoxin Yin, Jiawei Han, Philip S. Yu: Object Distinction: Distinguishing Objects with Identical Names. ICDE 2007: 1242-1246
302EEHector Gonzalez, Jiawei Han, Xuehua Shen: Cost-Conscious Cleaning of Massive RFID Data Sets. ICDE 2007: 1268-1272
301EEWen Jin, Martin Ester, Zengjian Hu, Jiawei Han: The Multi-Relational Skyline Operator. ICDE 2007: 1276-1280
300EEFeida Zhu, Xifeng Yan, Jiawei Han, Philip S. Yu, Hong Cheng: Mining Colossal Frequent Patterns by Core Pattern Fusion. ICDE 2007: 706-715
299EEHong Cheng, Xifeng Yan, Jiawei Han, Chih-Wei Hsu: Discriminative Frequent Pattern Analysis for Effective Classification. ICDE 2007: 716-725
298EEDeng Cai, Xiaofei He, Kun Zhou, Jiawei Han, Hujun Bao: Locality Sensitive Discriminant Analysis. IJCAI 2007: 708-713
297EEXiaoxin Yin, Jiawei Han, Philip S. Yu: Truth discovery with multiple conflicting information providers on the web. KDD 2007: 1048-1052
296EEJiawei Han: Mining, Indexing, and Searching Graphs in Large Data Sets. MLG 2007
295EEDeng Cai, Xiaofei He, Jiawei Han: Regularized regression on image manifold for retrieval. Multimedia Information Retrieval 2007: 11-20
294EEJiawei Han: Research Frontiers in Advanced Data Mining Technologies and Applications. PAKDD 2007: 1-5
293EEFeida Zhu, Xifeng Yan, Jiawei Han, Philip S. Yu: gPrune: A Constraint Pushing Framework for Graph Pattern Mining. PAKDD 2007: 388-400
292EETianyi Wu, Yuguo Chen, Jiawei Han: Association Mining in Large Databases: A Re-examination of Its Measures. PKDD 2007: 621-628
291EEJing Gao, Wei Fan, Jiawei Han, Philip S. Yu: A General Framework for Mining Concept-Drifting Data Streams with Skewed Distributions. SDM 2007
290EEXiaolei Li, Jiawei Han, Sangkyum Kim, Hector Gonzalez: ROAM: Rule- and Motif-Based Anomaly Detection in Massive Moving Object Data Sets. SDM 2007
289EEDong Xin, Jiawei Han, Kevin Chen-Chuan Chang: Progressive and selective merge: computing top-k with ad-hoc ranking functions. SIGMOD Conference 2007: 103-114
288EEJae-Gil Lee, Jiawei Han, Kyu-Young Whang: Trajectory clustering: a partition-and-group framework. SIGMOD Conference 2007: 593-604
287EEWen Jin, Anthony K. H. Tung, Martin Ester, Jiawei Han: On Efficient Processing of Subspace Skyline Queries on High Dimensional Data. SSDBM 2007: 12
286EEXiaolei Li, Jiawei Han, Jae-Gil Lee, Hector Gonzalez: Traffic Density-Based Discovery of Hot Routes in Road Networks. SSTD 2007: 441-459
285EETianyi Wu, Xiaolei Li, Dong Xin, Jiawei Han, Jacob Lee, Ricardo Redder: DataScope: Viewing Database Contents in Google Maps' Way. VLDB 2007: 1314-1317
284EEXiaolei Li, Jiawei Han: Mining Approximate Top-K Subspace Anomalies in Multi-Dimensional Time-Series Data. VLDB 2007: 447-458
283EEHector Gonzalez, Jiawei Han, Xiaolei Li, Margaret Myslinska, John Paul Sondag: Adaptive Fastest Path Computation on a Road Network: A Traffic Mining Approach. VLDB 2007: 794-805
282EEChen Chen, Xifeng Yan, Philip S. Yu, Jiawei Han, Dong-Qing Zhang, Xiaohui Gu: Towards Graph Containment Search and Indexing. VLDB 2007: 926-937
281EEDong Xin, Jiawei Han, Xifeng Yan, Hong Cheng: On compressing frequent patterns. Data Knowl. Eng. 60(1): 5-29 (2007)
280EEJiawei Han, Hong Cheng, Dong Xin, Xifeng Yan: Frequent pattern mining: current status and future directions. Data Min. Knowl. Discov. 15(1): 55-86 (2007)
279EEDong Xin, Jiawei Han, Xiaolei Li, Zheng Shao, Benjamin W. Wah: Computing Iceberg Cubes by Top-Down and Bottom-Up Integration: The StarCubing Approach. IEEE Trans. Knowl. Data Eng. 19(1): 111-126 (2007)
278EEJianyong Wang, Jiawei Han, Chun Li: Frequent Closed Sequence Mining without Candidate Maintenance. IEEE Trans. Knowl. Data Eng. 19(8): 1042-1056 (2007)
277EEJian Pei, Jiawei Han, Wei Wang: Constraint-based sequential pattern mining: the pattern-growth methods. J. Intell. Inf. Syst. 28(2): 133-160 (2007)
276EEJiawei Han: Introduction. TKDD 1(1): (2007)
275EEQiaozhu Mei, Dong Xin, Hong Cheng, Jiawei Han, Chengxiang Zhai: Semantic annotation of frequent patterns. TKDD 1(3): (2007)
2006
274EEJiawei Han, Hector Gonzalez, Xiaolei Li, Diego Klabjan: Warehousing and Mining Massive RFID Data Sets. ADMA 2006: 1-18
273EEHector Gonzalez, Jiawei Han, Xiaolei Li: Mining compressed commodity workflows from massive RFID data sets. CIKM 2006: 162-171
272EEJiawei Han, Xifeng Yan, Philip S. Yu: Mining, Indexing, and Similarity Search in Graphs and Complex Structures. ICDE 2006: 106
271EECharu C. Aggarwal, Chen Chen, Jiawei Han: On the Inverse Classification Problem and its Applications. ICDE 2006: 111
270EEHongyan Liu, Jiawei Han, Dong Xin, Zheng Shao: Top-Down Mining of Interesting Patterns from Very High Dimensional Data. ICDE 2006: 114
269EEDong Xin, Zheng Shao, Jiawei Han, Hongyan Liu: C-Cubing: Efficient Computation of Closed Cubes by Aggregation-Based Checking. ICDE 2006: 4
268EEHector Gonzalez, Jiawei Han, Xiaolei Li, Diego Klabjan: Warehousing and Analyzing Massive RFID Data Sets. ICDE 2006: 83
267EEXifeng Yan, Feida Zhu, Jiawei Han, Philip S. Yu: Searching Substructures with Superimposed Distance. ICDE 2006: 88
266EEChao Liu, Zeng Lian, Jiawei Han: How Bayesians Debug. ICDM 2006: 382-393
265EEHong Cheng, Philip S. Yu, Jiawei Han: AC-Close: Efficiently Mining Approximate Closed Itemsets by Core Pattern Recovery. ICDM 2006: 839-844
264EEXiaolei Li, Jiawei Han, Sangkyum Kim: Motion-Alert: Automatic Anomaly Detection in Massive Moving Objects. ISI 2006: 166-177
263EEQiaozhu Mei, Dong Xin, Hong Cheng, Jiawei Han, ChengXiang Zhai: Generating semantic annotations for frequent patterns with context analysis. KDD 2006: 337-346
262EEDong Xin, Hong Cheng, Xifeng Yan, Jiawei Han: Extracting redundancy-aware top-k patterns. KDD 2006: 444-453
261EEDong Xin, Xuehua Shen, Qiaozhu Mei, Jiawei Han: Discovering interesting patterns through user's interactive feedback. KDD 2006: 773-778
260EEChao Liu, Chen Chen, Jiawei Han, Philip S. Yu: GPLAG: detection of software plagiarism by program dependence graph analysis. KDD 2006: 872-881
259EEWen Jin, Anthony K. H. Tung, Jiawei Han, Wei Wang: Ranking Outliers Using Symmetric Neighborhood Relationship. PAKDD 2006: 577-593
258EEChao Liu, Xifeng Yan, Jiawei Han: Mining Control Flow Abnormality for Logic Error Isolation. SDM 2006
257EEHongyan Liu, Jiawei Han, Dong Xin, Zheng Shao: Mining Interesting Patterns from Very High Dimensional Data: A Top-Down Row Enumeration Approach. SDM 2006
256EEDeng Cai, Xiaofei He, Jiawei Han: Tensor space model for document analysis. SIGIR 2006: 625-626
255EEKaushik Chakrabarti, Venkatesh Ganti, Jiawei Han, Dong Xin: Ranking objects based on relationships. SIGMOD Conference 2006: 371-382
254EEChao Liu, Jiawei Han: Failure proximity: a fault localization-based approach. SIGSOFT FSE 2006: 46-56
253EEDong Xin, Chen Chen, Jiawei Han: Towards Robust Indexing for Ranked Queries. VLDB 2006: 235-246
252EEXiaoxin Yin, Jiawei Han, Philip S. Yu: LinkClus: Efficient Clustering via Heterogeneous Semantic Links. VLDB 2006: 427-438
251EEDong Xin, Jiawei Han, Hong Cheng, Xiaolei Li: Answering Top-k Queries with Multi-Dimensional Selections: The Ranking Cube Approach. VLDB 2006: 463-475
250EEHector Gonzalez, Jiawei Han, Xiaolei Li: FlowCube: Constructuing RFID FlowCubes for Multi-Dimensional Analysis of Commodity Flows. VLDB 2006: 834-845
249EEHongyan Liu, Ying Lu, Jiawei Han, Jun He: Error-Adaptive and Time-Aware Maintenance of Frequency Counts over Data Streams. WAIM 2006: 484-495
248EEXifeng Yan, Feida Zhu, Philip S. Yu, Jiawei Han: Feature-based similarity search in graph structures. ACM Trans. Database Syst. 31(4): 1418-1453 (2006)
247EEFei Pan, Kiran Kamath, Kangyu Zhang, Sudip Pulapura, Avinash Achar, Juan Nunez-Iglesias, Yu Huang, Xifeng Yan, Jiawei Han, Haiyan Hu, Min Xu, Jianjun Hu, Xianghong Jasmine Zhou: Integrative Array Analyzer: a software package for analysis of cross-platform and cross-species microarray data. Bioinformatics 22(13): 1665-1667 (2006)
246EEJian Pei, Jiawei Han, Laks V. S. Lakshmanan: An Erratum on "Pushing Convertible Constraints in Frequent Itemset Mining". Data Min. Knowl. Discov. 12(1): 119 (2006)
245EEYixin Chen, Guozhu Dong, Jiawei Han, Jian Pei, Benjamin W. Wah, Jianyong Wang: Regression Cubes with Lossless Compression and Aggregation. IEEE Trans. Knowl. Data Eng. 18(12): 1585-1599 (2006)
244EECharu C. Aggarwal, Jiawei Han, Jianyong Wang, Philip S. Yu: A Framework for On-Demand Classification of Evolving Data Streams. IEEE Trans. Knowl. Data Eng. 18(5): 577-589 (2006)
243EEJianyong Wang, Jiawei Han, Jian Pei: Closed Constrained Gradient Mining in Retail Databases. IEEE Trans. Knowl. Data Eng. 18(6): 764-769 (2006)
242EEXiaoxin Yin, Jiawei Han, Jiong Yang, Philip S. Yu: Efficient Classification across Multiple Database Relations: A CrossMine Approach. IEEE Trans. Knowl. Data Eng. 18(6): 770-783 (2006)
241EEChao Liu, Long Fei, Xifeng Yan, Jiawei Han, Samuel P. Midkiff: Statistical Debugging: A Hypothesis Testing-Based Approach. IEEE Trans. Software Eng. 32(10): 831-848 (2006)
240EEJiawei Han, Kun Zhou, Li-Yi Wei, Minmin Gong, Hujun Bao, Xinming Zhang, Baining Guo: Fast example-based surface texture synthesis via discrete optimization. The Visual Computer 22(9-11): 918-925 (2006)
2005
239EEXiaofei He, Deng Cai, Haifeng Liu, Jiawei Han: Image clustering with tensor representation. ACM Multimedia 2005: 132-140
238EEChao Liu, Xifeng Yan, Long Fei, Jiawei Han, Samuel P. Midkiff: SOBER: statistical model-based bug localization. ESEC/SIGSOFT FSE 2005: 286-295
237EEXifeng Yan, Xianghong Jasmine Zhou, Jiawei Han: Mining Closed Relational Graphs with Connectivity Constraints. ICDE 2005: 357-358
236EEXiaolei Li, Jiawei Han, Xiaoxin Yin, Dong Xin: Mining Evolving Customer-Product Relationships in Multi-Dimensional Space. ICDE 2005: 580-581
235EEHaiyan Hu, Xifeng Yan, Yu Huang, Jiawei Han, Xianghong Jasmine Zhou: Mining coherent dense subgraphs across massive biological networks for functional discovery. ISMB (Supplement of Bioinformatics) 2005: 213-221
234EEXifeng Yan, Hong Cheng, Jiawei Han, Dong Xin: Summarizing itemset patterns: a profile-based approach. KDD 2005: 314-323
233EEXifeng Yan, Xianghong Jasmine Zhou, Jiawei Han: Mining closed relational graphs with connectivity constraints. KDD 2005: 324-333
232EEXiaoxin Yin, Jiawei Han, Philip S. Yu: Cross-relational clustering with user's guidance. KDD 2005: 344-353
231EEShengnan Cong, Jiawei Han, David A. Padua: Parallel mining of closed sequential patterns. KDD 2005: 562-567
230EEXiaoxin Yin, Jiawei Han: Efficient Classification from Multiple Heterogeneous Databases. PKDD 2005: 404-416
229EEDeng Cai, Zheng Shao, Xiaofei He, Xifeng Yan, Jiawei Han: Community Mining from Multi-relational Networks. PKDD 2005: 445-452
228EEWen Jin, Martin Ester, Jiawei Han: Efficient Processing of Ranked Queries with Sweeping Selection. PKDD 2005: 527-535
227EEShengnan Cong, Jiawei Han, Jay Hoeflinger, David A. Padua: A sampling-based framework for parallel data mining. PPOPP 2005: 255-265
226 Chao Liu, Xifeng Yan, Hwanjo Yu, Jiawei Han, Philip S. Yu: Mining Behavior Graphs for "Backtrace" of Noncrashing Bugs. SDM 2005
225 Hong Cheng, Xifeng Yan, Jiawei Han: SeqIndex: Indexing Sequences by Sequential Pattern Analysis. SDM 2005
224EEXifeng Yan, Philip S. Yu, Jiawei Han: Substructure Similarity Search in Graph Databases. SIGMOD Conference 2005: 766-777
223EEWei Wang, Chen Wang, Yongtai Zhu, Baile Shi, Jian Pei, Xifeng Yan, Jiawei Han: GraphMiner: a structural pattern-mining system for large disk-based graph databases and its applications. SIGMOD Conference 2005: 879-881
222 Xiaoxin Yin, Jiawei Han, Jiong Yang: Searching for Related Objects in Relational Databases. SSDBM 2005: 227-236
221EEDong Xin, Jiawei Han, Xifeng Yan, Hong Cheng: Mining Compressed Frequent-Pattern Sets. VLDB 2005: 709-720
220 Peter Bajcsy, Jiawei Han, Lei Liu, Jiong Yang: Survey of Biodata Analysis from a Data Mining Perspective. Data Mining in Bioinformatics 2005: 9-39
219 Haixun Wang, Philip S. Yu, Jiawei Han: Mining Data Streams. The Data Mining and Knowledge Discovery Handbook 2005: 777-792
218EEXifeng Yan, Philip S. Yu, Jiawei Han: Graph indexing based on discriminative frequent structure analysis. ACM Trans. Database Syst. 30(4): 960-993 (2005)
217EECharu C. Aggarwal, Jiawei Han, Jianyong Wang, Philip S. Yu: On High Dimensional Projected Clustering of Data Streams. Data Min. Knowl. Discov. 10(3): 251-273 (2005)
216EEHwanjo Yu, Jiong Yang, Jiawei Han, Xiaolei Li: Making SVMs Scalable to Large Data Sets using Hierarchical Cluster Indexing. Data Min. Knowl. Discov. 11(3): 295-321 (2005)
215EEJiawei Han, Yixin Chen, Guozhu Dong, Jian Pei, Benjamin W. Wah, Jianyong Wang, Y. Dora Cai: Stream Cube: An Architecture for Multi-Dimensional Analysis of Data Streams. Distributed and Parallel Databases 18(2): 173-197 (2005)
214EEDeng Cai, Xiaofei He, Jiawei Han: Document Clustering Using Locality Preserving Indexing. IEEE Trans. Knowl. Data Eng. 17(12): 1624-1637 (2005)
213EEKe Wang, Yuelong Jiang, Jeffrey Xu Yu, Guozhu Dong, Jiawei Han: Divide-and-Approximate: A Novel Constraint Push Strategy for Iceberg Cube Mining. IEEE Trans. Knowl. Data Eng. 17(3): 354-368 (2005)
212EEJianyong Wang, Jiawei Han, Ying Lu, Petre Tzvetkov: TFP: An Efficient Algorithm for Mining Top-K Frequent Closed Itemsets. IEEE Trans. Knowl. Data Eng. 17(5): 652-664 (2005)
211EEPetre Tzvetkov, Xifeng Yan, Jiawei Han: TSP: Mining top-k closed sequential patterns. Knowl. Inf. Syst. 7(4): 438-457 (2005)
210EEMichael J. Carey, Jiawei Han: A tribute to Professor Hongjun Lu. SIGMOD Record 34(2): 5 (2005)
2004
209EEXiaoxin Yin, Jiawei Han, Jiong Yang, Philip S. Yu: CrossMine: Efficient Classification Across Multiple Database Relations. Constraint-Based Mining and Inductive Databases 2004: 172-195
208EEBin He, Kevin Chen-Chuan Chang, Jiawei Han: Mining complex matchings across Web query interfaces. DMKD 2004: 3-10
207EEXiaoxin Yin, Jiawei Han, Jiong Yang, Philip S. Yu: CrossMine: Efficient Classification Across Multiple Database Relations. ICDE 2004: 399-411
206EEJianyong Wang, Jiawei Han: BIDE: Efficient Mining of Frequent Closed Sequences. ICDE 2004: 79-90
205EEHwanjo Yu, Duane Searsmith, Xiaolei Li, Jiawei Han: Scalable Construction of Topic Directory with Nonparametric Closed Termset Mining. ICDM 2004: 563-566
204EEBin He, Kevin Chen-Chuan Chang, Jiawei Han: Discovering complex matchings across web query interfaces: a correlation mining approach. KDD 2004: 148-157
203EECharu C. Aggarwal, Jiawei Han, Jianyong Wang, Philip S. Yu: On demand classification of data streams. KDD 2004: 503-508
202EEHong Cheng, Xifeng Yan, Jiawei Han: IncSpan: incremental mining of sequential patterns in large database. KDD 2004: 527-532
201EEYifan Li, Jiawei Han, Jiong Yang: Clustering moving objects. KDD 2004: 617-622
200EEAndrew Y. Wu, Michael Garland, Jiawei Han: Mining scale-free networks using geodesic clustering. KDD 2004: 719-724
199EEWon-Young Kim, Young-Koo Lee, Jiawei Han: CCMine: Efficient Mining of Confidence-Closed Correlated Patterns. PAKDD 2004: 569-579
198EEWen Jin, Jiawei Han, Martin Ester: Mining Thick Skylines over Large Databases. PKDD 2004: 255-266
197EEXifeng Yan, Philip S. Yu, Jiawei Han: Graph Indexing: A Frequent Structure-based Approach. SIGMOD Conference 2004: 335-346
196EEY. Dora Cai, David Clutter, Greg Pape, Jiawei Han, Michael Welge, Loretta Auvil: MAIDS: Mining Alarming Incidents from Data Streams. SIGMOD Conference 2004: 919-920
195EEYifan Li, Jiong Yang, Jiawei Han: Continuous K-Nearest Neighbor Search for Moving Objects. SSDBM 2004: 123-126
194EEZheng Shao, Jiawei Han, Dong Xin: MM-Cubing: Computing Iceberg Cubes by Factorizing the Lattice Space. SSDBM 2004: 213-222
193EEXiaolei Li, Jiawei Han, Hector Gonzalez: High-Dimensional OLAP: A Minimal Cubing Approach. VLDB 2004: 528-539
192EECharu C. Aggarwal, Jiawei Han, Jianyong Wang, Philip S. Yu: A Framework for Projected Clustering of High Dimensional Data Streams. VLDB 2004: 852-863
191EEJiawei Han, Jian Pei, Yiwen Yin, Runying Mao: Mining Frequent Patterns without Candidate Generation: A Frequent-Pattern Tree Approach. Data Min. Knowl. Discov. 8(1): 53-87 (2004)
190EEJian Pei, Jiawei Han, Laks V. S. Lakshmanan: Pushing Convertible Constraints in Frequent Itemset Mining. Data Min. Knowl. Discov. 8(3): 227-252 (2004)
189EEHwanjo Yu, Jiawei Han, Kevin Chen-Chuan Chang: PEBL: Web Page Classification without Negative Examples. IEEE Trans. Knowl. Data Eng. 16(1): 70-81 (2004)
188EEJian Pei, Jiawei Han, Behzad Mortazavi-Asl, Jianyong Wang, Helen Pinto, Qiming Chen, Umeshwar Dayal, Meichun Hsu: Mining Sequential Patterns by Pattern-Growth: The PrefixSpan Approach. IEEE Trans. Knowl. Data Eng. 16(11): 1424-1440 (2004)
187EEGuozhu Dong, Jiawei Han, Joyce M. W. Lam, Jian Pei, Ke Wang, Wei Zou: Mining Constrained Gradients in Large Databases. IEEE Trans. Knowl. Data Eng. 16(8): 922-938 (2004)
186EEJiawei Han, Jian Pei, Xifeng Yan: From Sequential Pattern Mining to Structured Pattern Mining: A Pattern-Growth Approach. J. Comput. Sci. Technol. 19(3): 257-279 (2004)
185EEJian Pei, Guozhu Dong, Wei Zou, Jiawei Han: Mining Condensed Frequent-Pattern Bases. Knowl. Inf. Syst. 6(5): 570-594 (2004)
184EEK. P. Unnikrishnan, Ramasamy Uthurusamy, Jiawei Han: The third SIGKDD workshop on mining temporal and sequential data (KDD/TDM 2004). SIGKDD Explorations 6(2): 152 (2004)
2003
183EEHwanjo Yu, ChengXiang Zhai, Jiawei Han: Text classification from positive and unlabeled documents. CIKM 2003: 232-239
182EEHwanjo Yu, Jiong Yang, Wei Wang, Jiawei Han: Discovering Compact and Highly Discriminative Features or Feature Combinations of Drug Activities Using Support Vector Machines. CSB 2003: 220-228
181EESu-Jeong Ko, Jiawei Han: Mining Typical Preferences of Collaborative User Groups. ER 2003: 419-432
180EEKe Wang, Yuelong Jiang, Jeffrey Xu Yu, Guozhu Dong, Jiawei Han: Pushing Aggregate Constraints by Divide-and-Approximate. ICDE 2003: 291-302
179EEPetre Tzvetkov, Xifeng Yan, Jiawei Han: TSP: Mining Top-K Closed Sequential Patterns. ICDM 2003: 347-354
178EEYoung-Koo Lee, Won-Young Kim, Y. Dora Cai, Jiawei Han: CoMine: Efficient Mining of Correlated Patterns. ICDM 2003: 581-584
177EEAnHai Doan, Ying Lu, Yoonkyong Lee, Jiawei Han: Object Matching for Information Integration: A Profiler-Based Approach. IIWeb 2003: 53-58
176EEHaixun Wang, Wei Fan, Philip S. Yu, Jiawei Han: Mining concept-drifting data streams using ensemble classifiers. KDD 2003: 226-235
175EEJianyong Wang, Jiawei Han, Jian Pei: CLOSET+: searching for the best strategies for mining frequent closed itemsets. KDD 2003: 236-245
174EEXifeng Yan, Jiawei Han: CloseGraph: mining closed frequent graph patterns. KDD 2003: 286-295
173EEHwanjo Yu, Jiong Yang, Jiawei Han: Classifying large data sets using SVMs with hierarchical clusters. KDD 2003: 306-315
172EEXiaoxin Yin, Jiawei Han: CPAR: Classification based on Predictive Association Rules. SDM 2003
171EEXifeng Yan, Jiawei Han, Ramin Afshar: CloSpan: Mining Closed Sequential Patterns in Large Databases. SDM 2003
170EEDong Xin, Jiawei Han, Xiaolei Li, Benjamin W. Wah: Star-Cubing: Computing Iceberg Cubes by Top-Down and Bottom-Up Integration. VLDB 2003: 476-487
169EECharu C. Aggarwal, Jiawei Han, Jianyong Wang, Philip S. Yu: A Framework for Clustering Evolving Data Streams. VLDB 2003: 81-92
168EEAnHai Doan, Ying Lu, Yoonkyong Lee, Jiawei Han: Profile-Based Object Matching for Information Integration. IEEE Intelligent Systems 18(5): 54-59 (2003)
167EEAnthony K. H. Tung, Hongjun Lu, Jiawei Han, Ling Feng: Efficient Mining of Intertransaction Association Rules. IEEE Trans. Knowl. Data Eng. 15(1): 43-56 (2003)
166EEKe Wang, Yu He, Jiawei Han: Pushing Support Constraints Into Association Rules Mining. IEEE Trans. Knowl. Data Eng. 15(3): 642-658 (2003)
165EEYing Lu, Jiawei Han: Cancer classification using gene expression data. Inf. Syst. 28(4): 243-268 (2003)
2002
164 Robert L. Grossman, Jiawei Han, Vipin Kumar, Heikki Mannila, Rajeev Motwani: Proceedings of the Second SIAM International Conference on Data Mining, Arlington, VA, USA, April 11-13, 2002 SIAM 2002
163EEJiawei Han: How Can Data Mining Help Bio-Data Analysis? BIOKDD 2002: 1-2
162EEJian Pei, Jiawei Han, Wei Wang: Mining sequential patterns with constraints in large databases. CIKM 2002: 18-25
161EEYixin Chen, Guozhu Dong, Jiawei Han, Jian Pei, Benjamin W. Wah, Jianyong Wang: Online Analytical Processing Stream Data: Is It Feasible? DMKD 2002
160EEKe Wang, Senqiang Zhou, Jiawei Han: Profit Mining: From Patterns to Actions. EDBT 2002: 70-87
159EEJiawei Han, Jianyong Wang, Ying Lu, Petre Tzvetkov: Mining Top-K Frequent Closed Patterns without Minimum Support. ICDM 2002: 211-218
158EEJian Pei, Guozhu Dong, Wei Zou, Jiawei Han: On Computing Condensed Frequent Pattern Bases. ICDM 2002: 378-385
157EEHwanjo Yu, Kevin Chen-Chuan Chang, Jiawei Han: Heterogeneous Learner for Web Page Classification. ICDM 2002: 538-545
156EEXifeng Yan, Jiawei Han: gSpan: Graph-Based Substructure Pattern Mining. ICDM 2002: 721-724
155EEJunqiang Liu, Yunhe Pan, Ke Wang, Jiawei Han: Mining frequent item sets by opportunistic projection. KDD 2002: 229-238
154EEHwanjo Yu, Jiawei Han, Kevin Chen-Chuan Chang: PEBL: positive example based learning for Web page classification using SVM. KDD 2002: 239-248
153EEKe Wang, Liu Tang, Jiawei Han, Junqiang Liu: Top Down FP-Growth for Association Rule Mining. PAKDD 2002: 334-340
152EEJiong Yang, Wei Wang, Philip S. Yu, Jiawei Han: Mining long sequential patterns in a noisy environment. SIGMOD Conference 2002: 406-417
151EEJiawei Han, Jianyong Wang, Guozhu Dong, Jian Pei, Ke Wang: CubeExplorer: online exploration of data cubes. SIGMOD Conference 2002: 626
150EEYixin Chen, Guozhu Dong, Jiawei Han, Benjamin W. Wah, Jianyong Wang: Multi-Dimensional Regression Analysis of Time-Series Data Streams. VLDB 2002: 323-334
149EELaks V. S. Lakshmanan, Jian Pei, Jiawei Han: Quotient Cube: How to Summarize the Semantics of a Data Cube. VLDB 2002: 778-789
148EEJiawei Han, Russ B. Altman, Vipin Kumar, Heikki Mannila, Daryl Pregibon: Emerging scientific applications in data mining. Commun. ACM 45(8): 54-58 (2002)
147EEJiawei Han, Kevin Chen-Chuan Chang: Data Mining for Web Intelligence. IEEE Computer 35(11): 64-70 (2002)
146EERaymond T. Ng, Jiawei Han: CLARANS: A Method for Clustering Objects for Spatial Data Mining. IEEE Trans. Knowl. Data Eng. 14(5): 1003-1016 (2002)
145EEJian Pei, Jiawei Han: Constrained frequent pattern mining: a pattern-growth view. SIGKDD Explorations 4(1): 31-39 (2002)
144EEMarianne Winslett, Kevin Chen-Chuan Chang, AnHai Doan, Jiawei Han, ChengXiang Zhai, Yuanyuan Zhou: Database Research at the University of Illinois at Urbana-Champaign. SIGMOD Record 31(3): 97-102 (2002)
143EELing Feng, Jeffrey Xu Yu, Hongjun Lu, Jiawei Han: A template model for multidimensional inter-transactional association rules. VLDB J. 11(2): 153-175 (2002)
2001
142 Helen Pinto, Jiawei Han, Jian Pei, Ke Wang, Qiming Chen, Umeshwar Dayal: Multi-Dimensional Sequential Pattern Mining. CIKM 2001: 81-88
141EEJian Pei, Anthony K. H. Tung, Jiawei Han: Fault-Tolerant Frequent Pattern Mining: Problems and Challenges. DMKD 2001
140EESonny Han Seng Chee, Jiawei Han, Ke Wang: RecTree: An Efficient Collaborative Filtering Method. DaWaK 2001: 141-151
139EEJian Pei, Jiawei Han, Behzad Mortazavi-Asl, Helen Pinto, Qiming Chen, Umeshwar Dayal, Meichun Hsu: PrefixSpan: Mining Sequential Patterns by Prefix-Projected Growth. ICDE 2001: 215-224
138EEAnthony K. H. Tung, Jean Hou, Jiawei Han: Spatial Clustering in the Presence of Obstacles. ICDE 2001: 359-367
137EEJian Pei, Jiawei Han, Laks V. S. Lakshmanan: Mining Frequent Item Sets with Convertible Constraints. ICDE 2001: 433-442
136 Wenmin Li, Jiawei Han, Jian Pei: CMAR: Accurate and Efficient Classification Based on Multiple Class-Association Rules. ICDM 2001: 369-376
135 Jian Pei, Jiawei Han, Hongjun Lu, Shojiro Nishio, Shiwei Tang, Dongqing Yang: H-Mine: Hyper-Structure Mining of Frequent Patterns in Large Databases. ICDM 2001: 441-448
134EEAnthony K. H. Tung, Raymond T. Ng, Laks V. S. Lakshmanan, Jiawei Han: Constraint-based clustering in large databases. ICDT 2001: 405-419
133EEWen Jin, Anthony K. H. Tung, Jiawei Han: Mining top-n local outliers in large databases. KDD 2001: 293-298
132EEJiawei Han, Laks V. S. Lakshmanan, Jian Pei: Scalable frequent-pattern mining methods: an overview. KDD Tutorials 2001
131EEJiawei Han, Jian Pei, Guozhu Dong, Ke Wang: Efficient Computation of Iceberg Cubes with Complex Measures. SIGMOD Conference 2001: 1-12
130EEJiawei Han, Hasan M. Jamil, Ying Lu, Liangyou Chen, Yaqin Liao, Jian Pei: DNA-Miner: A System Prototype for Mining DNA Sequences. SIGMOD Conference 2001: 618
129EEGuozhu Dong, Jiawei Han, Joyce M. W. Lam, Jian Pei, Ke Wang: Mining Multi-Dimensional Constrained Gradients in Data Cubes. VLDB 2001: 321-330
128EEKenneth A. Ross, Jiawei Han, Nick Koudas, Rajeev Rastogi, Daniel J. Rosenkrantz, Peter Scheuermann, Dan Suciu: Reminiscences on Influential Papers. SIGMOD Record 30(3): 101-104 (2001)
2000
127 Jiawei Han, Micheline Kamber: Data Mining: Concepts and Techniques Morgan Kaufmann 2000
126 Jian Pei, Jiawei Han, Runying Mao: CLOSET: An Efficient Algorithm for Mining Frequent Closed Itemsets. ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery 2000: 21-30
125EEEdward Kim, Joyce M. W. Lam, Jiawei Han: AIM: Approximate Intelligent Matching for Time Series Data. DaWaK 2000: 347-357
124EEOsmar R. Zaïane, Jiawei Han, Hua Zhu: Mining Recurrent Items in Multimedia with Progressive Resolution Refinement. ICDE 2000: 461-470
123EEJian Pei, Jiawei Han: Can we push more constraints into frequent pattern mining? KDD 2000: 350-354
122EEJiawei Han, Jian Pei, Behzad Mortazavi-Asl, Qiming Chen, Umeshwar Dayal, Meichun Hsu: FreeSpan: frequent pattern-projected sequential pattern mining. KDD 2000: 355-359
121 Anthony K. H. Tung, Raymond T. Ng, Laks V. S. Lakshmanan, Jiawei Han: Geo-Spatial Clustering with User-Specified Constraints. MDM/KDD 2000: 1-7
120 Anthony K. H. Tung, Jean Hou, Jiawei Han: COE: Clustering with Obstacles Entities. A Preliminary Study. PAKDD 2000: 165-168
119 Jian Pei, Jiawei Han, Behzad Mortazavi-Asl, Hua Zhu: Mining Access Patterns Efficiently from Web Logs. PAKDD 2000: 396-407
118EEJiawei Han, Jian Pei, Yiwen Yin: Mining Frequent Patterns without Candidate Generation. SIGMOD Conference 2000: 1-12
117EEKe Wang, Yu He, Jiawei Han: Mining Frequent Itemsets Using Support Constraints. VLDB 2000: 43-52
116EEHongjun Lu, Ling Feng, Jiawei Han: Beyond intratransaction association analysis: mining multidimensional intertransaction association rules. ACM Trans. Inf. Syst. 18(4): 423-454 (2000)
115EENebojsa Stefanovic, Jiawei Han, Krzysztof Koperski: Object-Based Selective Materialization for Efficient Implementation of Spatial Data Cubes. IEEE Trans. Knowl. Data Eng. 12(6): 938-958 (2000)
114 David Wai-Lok Cheung, H. Y. Hwang, Ada Wai-Chee Fu, Jiawei Han: Efficient Rule-Based Attribute-Oriented Induction for Data Mining. J. Intell. Inf. Syst. 15(2): 175-200 (2000)
113EEHarvey J. Miller, Jiawei Han: Discovering Geographic Knowledge in Data Rich Environments: A Report on a Specialist Meeting. SIGKDD Explorations 1(2): 105-107 (2000)
112EEJiawei Han, Jian Pei: Mining Frequent Patterns by Pattern-Growth: Methodology and Implications. SIGKDD Explorations 2(2): 14-20 (2000)
1999
111EEJiawei Han, Qiang Yang, Edward Kim: Plan Mining by Divide-and-Conquer. 1999 ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery 1999
110EELing Feng, Hongjun Lu, Jeffrey Xu Yu, Jiawei Han: Mining Inter-Transaction Associations with Templates. CIKM 1999: 225-233
109EEJiawei Han, Guozhu Dong, Yiwen Yin: Efficient Mining of Partial Periodic Patterns in Time Series Database. ICDE 1999: 106-115
108EEAnthony K. H. Tung, Hongjun Lu, Jiawei Han, Ling Feng: Breaking the Barrier of Transactions: Mining Inter-Transaction Association Rules. KDD 1999: 297-301
107EELaks V. S. Lakshmanan, Raymond T. Ng, Jiawei Han, Alex Pang: Optimization of Constrained Frequent Set Queries with 2-variable Constraints. SIGMOD Conference 1999: 157-168
106EERaymond T. Ng, Laks V. S. Lakshmanan, Jiawei Han, Teresa Mah: Exploratory Mining via Constrained Frequent Set Queries. SIGMOD Conference 1999: 556-558
105EEXiaofang Zhou, David Truffet, Jiawei Han: Efficient Polygon Amalgamation Methods for Spatial OLAP and Spatial Data Mining. SSD 1999: 167-187
104EEJiawei Han: Review - An Array-Based Algorithm for Simultaneous Multidimensional Aggregates. ACM SIGMOD Digital Review 1: (1999)
103 Jiawei Han, Laks V. S. Lakshmanan, Raymond T. Ng: Constraint-Based Multidimensional Data Mining. IEEE Computer 32(8): 46-50 (1999)
102EEJiawei Han, Zhaohui Xie, Yongjian Fu: Join Index Hierarchy: An Indexing Structure for Efficient Navigation in Object-Oriented Databases. IEEE Trans. Knowl. Data Eng. 11(2): 321-337 (1999)
101EEJiawei Han, Yongjian Fu: Mining Multiple-Level Association Rules in Large Databases. IEEE Trans. Knowl. Data Eng. 11(5): 798-804 (1999)
1998
100 Osmar R. Zaïane, Man Xin, Jiawei Han: Discovering Web Access Patterns and Trends by Applying OLAP and Data Mining Technology on Web Logs. ADL 1998: 19-29
99EEOsmar R. Zaïane, Jiawei Han, Ze-Nian Li, Jean Hou: Mining multimedia data. CASCON 1998: 24
98 Jiawei Han, Wan Gong, Yiwen Yin: Mining Segment-Wise Periodic Patterns in Time-Related Databases. KDD 1998: 214-218
97 Jiawei Han, Nebojsa Stefanovic, Krzysztof Koperski: Selective Materialization: An Efficient Method for Spatial Data Cube Construction. PAKDD 1998: 144-158
96EERaymond T. Ng, Laks V. S. Lakshmanan, Jiawei Han, Alex Pang: Exploratory Mining and Pruning Optimizations of Constrained Association Rules. SIGMOD Conference 1998: 13-24
95EEOsmar R. Zaïane, Jiawei Han, Ze-Nian Li, Sonny Han Seng Chee, Jenny Chiang: MultiMediaMiner: A System Prototype for Multimedia Data Mining. SIGMOD Conference 1998: 581-583
94 Osmar R. Zaïane, Jiawei Han: WebML: Querying the World-Wide Web for Resources and Knowledge. Workshop on Web Information and Data Management 1998: 9-12
93EEJiawei Han, Shojiro Nishio, Hiroyuki Kawano, Wei Wang: Generalization-Based Data Mining in Object-Oriented Databases Using an Object Cube Model. Data Knowl. Eng. 25(1-2): 55-97 (1998)
92 Raymond T. Ng, Jiawei Han, Laks V. S. Lakshmanan: Editorial. Data Min. Knowl. Discov. 2(3): 231-232 (1998)
91 Jiawei Han, Ling Liu, Tong Lu: Evaluation of Declarative n-Queens Recursion: A Deductive Database Approach. Inf. Sci. 105(1-4): 69-100 (1998)
90EEDeyi Li, Jiawei Han, Xuemei Shi, Man-chung Chan: Knowledge representation and discovery based on linguistic atoms. Knowl.-Based Syst. 10(7): 431-440 (1998)
89EEJiawei Han: Towards On-Line Analytical Mining in Large Databases. SIGMOD Record 27(1): 97-107 (1998)
1997
88EEJiawei Han, Jenny Chiang, Sonny Han Seng Chee, Jianping Chen, Qing Chen, Shan Cheng, Wan Gong, Micheline Kamber, Krzysztof Koperski, Gang Liu, Yijun Lu, Nebojsa Stefanovic, Lara Winstone, Betty Xia, Osmar R. Zaïane, Shuhua Zhang, Hua Zhu: DBMiner: a system for data mining in relational databases and data warehouses. CASCON 1997: 8
87 Jiawei Han: OLAP Mining: Integration of OLAP with Data Mining. DS-7 1997: 3-20
86EEJiawei Han: Data Mining: Where is it Heading? (Panel). ICDE 1997: 508
85 Micheline Kamber, Jiawei Han, Jenny Chiang: Metarule-Guided Mining of Multi-Dimensional Association Rules Using Data Cubes. KDD 1997: 207-210
84 Micheline Kamber, Lara Winstone, Wang Gon, Jiawei Han: Generalization and Decision Tree Induction: Efficient Classification in Data Mining.