2009 |
100 | EE | Xiaohui Gu,
Haixun Wang:
Online Anomaly Prediction for Robust Cluster Systems.
ICDE 2009: 1000-1011 |
99 | EE | Shixi Chen,
Haixun Wang,
Shuigeng Zhou:
Concept Clustering of Evolving Data.
ICDE 2009: 1327-1330 |
98 | EE | Risi Thonangi,
Hao He,
AnHai Doan,
Haixun Wang,
Jun Yang:
Weighted Proximity Best-Joins for Information Retrieval.
ICDE 2009: 234-245 |
2008 |
97 | EE | Haixun Wang,
Jian Yin,
Chang-Shing Perng,
Philip S. Yu:
Dual encryption for query integrity assurance.
CIKM 2008: 863-872 |
96 | EE | Jiefeng Cheng,
Jeffrey Xu Yu,
Xuemin Lin,
Haixun Wang,
Philip S. Yu:
Fast computing reachability labelings for large graphs with high compression rate.
EDBT 2008: 193-204 |
95 | EE | Min Xie,
Haixun Wang,
Jian Yin,
Xiaofeng Meng:
Providing freshness guarantees for outsourced databases.
EDBT 2008: 323-332 |
94 | EE | Lipyeow Lim,
Haixun Wang,
Min Wang:
Modeling and Querying E-Commerce Data in Hybrid Relational-XML DBMSs.
ER 2008: 294-310 |
93 | EE | Junyi Xie,
Jun Yang,
Yuguo Chen,
Haixun Wang,
Philip S. Yu:
A Sampling-Based Approach to Information Recovery.
ICDE 2008: 476-485 |
92 | EE | Jiefeng Cheng,
Jeffrey Xu Yu,
Bolin Ding,
Philip S. Yu,
Haixun Wang:
Fast Graph Pattern Matching.
ICDE 2008: 913-922 |
91 | EE | Shixi Chen,
Haixun Wang,
Shuigeng Zhou,
Philip S. Yu:
Stop Chasing Trends: Discovering High Order Models in Evolving Data.
ICDE 2008: 923-932 |
90 | EE | Ruoming Jin,
Yang Xiang,
Ning Ruan,
Haixun Wang:
Efficiently answering reachability queries on very large directed graphs.
SIGMOD Conference 2008: 595-608 |
89 | EE | Jiangming Yang,
Haixun Wang,
Ning Gu,
Yiming Liu,
Chunsong Wang,
Qiwei Zhang:
Lock-free consistency control for web 2.0 applications.
WWW 2008: 725-734 |
88 | EE | Yijian Bai,
Hetal Thakkar,
Haixun Wang,
Carlo Zaniolo:
Time-Stamp Management and Query Execution in Data Stream Management Systems.
IEEE Internet Computing 12(6): 13-21 (2008) |
87 | EE | Wei-Shinn Ku,
Roger Zimmermann,
Haixun Wang:
Location-Based Spatial Query Processing in Wireless Broadcast Environments.
IEEE Trans. Mob. Comput. 7(6): 778-791 (2008) |
86 | EE | Haixun Wang,
Jian Pei:
Clustering by Pattern Similarity.
J. Comput. Sci. Technol. 23(4): 481-496 (2008) |
2007 |
85 | | Kevin Chen-Chuan Chang,
Wei Wang,
Lei Chen,
Clarence A. Ellis,
Ching-Hsien Hsu,
Ah Chung Tsoi,
Haixun Wang:
Advances in Web and Network Technologies, and Information Management, APWeb/WAIM 2007 International Workshops: DBMAN 2007, WebETrends 2007, PAIS 2007 and ASWAN 2007, Huang Shan, China, June 16-18, 2007, Proceedings
Springer 2007 |
84 | EE | Yijian Bai,
Hetal Thakkar,
Haixun Wang,
Carlo Zaniolo:
Optimizing Timestamp Management in Data Stream Management Systems.
ICDE 2007: 1334-1338 |
83 | EE | Wei-Shinn Ku,
Roger Zimmermann,
Haixun Wang:
Location-based Spatial Queries with Data Sharing in Wireless Broadcast Environments.
ICDE 2007: 1355-1359 |
82 | EE | Lipyeow Lim,
Haixun Wang,
Min Wang:
Semantic Data Management: Towards Querying Data with their Meaning.
ICDE 2007: 1438-1442 |
81 | EE | Xiaohui Gu,
Philip S. Yu,
Haixun Wang:
Adaptive Load Diffusion for Multiway Windowed Stream Joins.
ICDE 2007: 146-155 |
80 | EE | Haoliang Jiang,
Haixun Wang,
Philip S. Yu,
Shuigeng Zhou:
GString: A Novel Approach for Efficient Search in Graph Databases.
ICDE 2007: 566-575 |
79 | EE | Jian Pei,
Ada Wai-Chee Fu,
Xuemin Lin,
Haixun Wang:
Computing Compressed Multidimensional Skyline Cubes Efficiently.
ICDE 2007: 96-105 |
78 | EE | Yijian Bai,
Hetal Thakkar,
Haixun Wang,
Carlo Zaniolo:
A Flexible Query Graph Based Model for the Efficient Execution of Continuous Queries.
ICDE Workshops 2007: 634-643 |
77 | EE | Wei Peng,
Charles Perng,
Tao Li,
Haixun Wang:
Event summarization for system management.
KDD 2007: 1028-1032 |
76 | EE | Yijian Bai,
Haixun Wang,
Carlo Zaniolo:
Load Shedding in Classifying Multi-Source Streaming Data: A Bayes Risk Approach.
SDM 2007 |
75 | EE | Chengkai Li,
Min Wang,
Lipyeow Lim,
Haixun Wang,
Kevin Chen-Chuan Chang:
Supporting ranking and clustering as generalized order-by and group-by.
SIGMOD Conference 2007: 127-138 |
74 | EE | Hao He,
Haixun Wang,
Jun Yang,
Philip S. Yu:
BLINKS: ranked keyword searches on graphs.
SIGMOD Conference 2007: 305-316 |
73 | EE | Kun-Lung Wu,
Philip S. Yu,
Bugra Gedik,
Kirsten Hildrum,
Charu C. Aggarwal,
Eric Bouillet,
Wei Fan,
David George,
Xiaohui Gu,
Gang Luo,
Haixun Wang:
Challenges and Experience in Prototyping a Multi-Modal Stream Analytic and Monitoring Application on System S.
VLDB 2007: 1185-1196 |
72 | EE | Lipyeow Lim,
Haixun Wang,
Min Wang:
Unifying Data and Domain Knowledge Using Virtual Views.
VLDB 2007: 255-266 |
71 | EE | Min Xie,
Haixun Wang,
Jian Yin,
Xiaofeng Meng:
Integrity Auditing of Outsourced Data.
VLDB 2007: 782-793 |
70 | EE | Peng Wang,
Haixun Wang,
Xiaochen Wu,
Wei Wang,
Baile Shi:
A Low-Granularity Classifier for Data Streams with Concept Drifts and Biased Class Distribution.
IEEE Trans. Knowl. Data Eng. 19(9): 1202-1213 (2007) |
2006 |
69 | EE | Yijian Bai,
Hetal Thakkar,
Haixun Wang,
Chang Luo,
Carlo Zaniolo:
A data stream language and system designed for power and extensibility.
CIKM 2006: 337-346 |
68 | EE | Jiefeng Cheng,
Jeffrey Xu Yu,
Xuemin Lin,
Haixun Wang,
Philip S. Yu:
Fast Computation of Reachability Labeling for Large Graphs.
EDBT 2006: 961-979 |
67 | EE | Haixun Wang,
Hao He,
Jun Yang,
Philip S. Yu,
Jeffrey Xu Yu:
Dual Labeling: Answering Graph Reachability Queries in Constant Time.
ICDE 2006: 75 |
66 | EE | Chang-Shing Perng,
Haixun Wang,
Sheng Ma:
Fast Relevance Discovery in Time Series.
ICDM 2006: 1016-1020 |
65 | EE | Peng Wang,
Haixun Wang,
Wei Wang,
Baile Shi,
Philip S. Yu:
LOCI: Load Shedding through Class-Preserving Data Acquisition.
ICDM 2006: 701-710 |
64 | EE | Gabriel Pui Cheong Fung,
Jeffrey Xu Yu,
Haixun Wang,
David W. Cheung,
Huan Liu:
A Balanced Ensemble Approach to Weighting Classifiers for Text Classification.
ICDM 2006: 869-873 |
63 | EE | Haixun Wang,
Jian Yin,
Jian Pei,
Philip S. Yu,
Jeffrey Xu Yu:
Suppressing model overfitting in mining concept-drifting data streams.
KDD 2006: 736-741 |
62 | EE | Qi Zhao,
Mitsunori Ogihara,
Haixun Wang,
Jun Xu:
Finding global icebergs over distributed data sets.
PODS 2006: 298-307 |
61 | EE | Jian Pei,
Haixun Wang,
Jian Liu,
Ke Wang,
Jianyong Wang,
Philip S. Yu:
Discovering Frequent Closed Partial Orders from Strings.
IEEE Trans. Knowl. Data Eng. 18(11): 1467-1481 (2006) |
60 | EE | Yun Chi,
Haixun Wang,
Philip S. Yu,
Richard R. Muntz:
Catch the moment: maintaining closed frequent itemsets over a data stream sliding window.
Knowl. Inf. Syst. 10(3): 265-294 (2006) |
2005 |
59 | EE | Hao He,
Haixun Wang,
Jun Yang,
Philip S. Yu:
Compact reachability labeling for graph-structured data.
CIKM 2005: 594-601 |
58 | EE | Haixun Wang,
Wei Wang:
Stay Current and Relevant in Data Mining Research.
DASFAA 2005: 239 |
57 | EE | Haixun Wang,
Jian Pei,
Philip S. Yu:
Online Mining of Data Streams: Applications, Techniques and Progress.
ICDE 2005: 1146 |
56 | EE | Haixun Wang,
Xiaofeng Meng:
On the Sequencing of Tree Structures for XML Indexing.
ICDE 2005: 372-383 |
55 | EE | Peng Wang,
Haixun Wang,
Xiaochen Wu,
Wei Wang,
Baile Shi:
On Reducing Classifier Granularity in Mining Concept-Drifting Data Streams.
ICDM 2005: 474-481 |
54 | EE | Jian Pei,
Jian Liu,
Haixun Wang,
Ke Wang,
Philip S. Yu,
Jianyong Wang:
Efficiently Mining Frequent Closed Partial Orders.
ICDM 2005: 753-756 |
53 | EE | Haixun Wang,
Jian Pei,
Philip S. Yu:
Pattern-based similarity search for microarray data.
KDD 2005: 814-819 |
52 | EE | Haixun Wang,
Jian Pei:
A Random Method for Quantifying Changing Distributions in Data Streams.
PKDD 2005: 684-691 |
51 | | Yun Chi,
Philip S. Yu,
Haixun Wang,
Richard R. Muntz:
Loadstar: A Load Shedding Scheme for Classifying Data Streams.
SDM 2005 |
50 | | Haixun Wang,
Chang-Shing Perng,
Philip S. Yu:
Near-Neighbor Search in Pattern Distance Spaces.
SDM 2005 |
49 | EE | Chang Luo,
Hetal Thakkar,
Haixun Wang,
Carlo Zaniolo:
A native extension of SQL for mining data streams.
SIGMOD Conference 2005: 873-875 |
48 | EE | Yun Chi,
Haixun Wang,
Philip S. Yu:
Loadstar: Load Shedding in Data Stream Mining.
VLDB 2005: 1303-1305 |
47 | | Haixun Wang,
Philip S. Yu,
Jiawei Han:
Mining Data Streams.
The Data Mining and Knowledge Discovery Handbook 2005: 777-792 |
46 | EE | Jiong Yang,
Haixun Wang,
Wei Wang,
Philip S. Yu:
An Improved Biclustering Method for Analyzing Gene Expression Profiles.
International Journal on Artificial Intelligence Tools 14(5): 771-790 (2005) |
45 | EE | Haixun Wang,
Chang-Shing Perng,
Sheng Ma,
Philip S. Yu:
Demand-driven frequent itemset mining using pattern structures.
Knowl. Inf. Syst. 8(1): 82-102 (2005) |
2004 |
44 | EE | Wei Fan,
Philip S. Yu,
Haixun Wang:
Mining Extremely Skewed Trading Anomalies.
EDBT 2004: 801-810 |
43 | EE | Yun Chi,
Haixun Wang,
Philip S. Yu,
Richard R. Muntz:
Moment: Maintaining Closed Frequent Itemsets over a Stream Sliding Window.
ICDM 2004: 59-66 |
42 | EE | Wei Fan,
Yi-an Huang,
Haixun Wang,
Philip S. Yu:
Active Mining of Data Streams.
SDM 2004 |
41 | EE | Xiaofeng Meng,
Yu Jiang,
Yan Chen,
Haixun Wang:
XSeq: An Index Infrastructure for Tree Pattern Queries.
SIGMOD Conference 2004: 941-942 |
40 | EE | Haixun Wang,
Fang Chu,
Wei Fan,
Philip S. Yu,
Jian Pei:
A Fast Algorithm for Subspace Clustering by Pattern Similarity.
SSDBM 2004: 51- |
39 | EE | Yan-Nei Law,
Haixun Wang,
Carlo Zaniolo:
Query Languages and Data Models for Database Sequences and Data Streams.
VLDB 2004: 492-503 |
38 | EE | Yu Wang,
Haixun Wang,
Xiaofeng Meng,
Shan Wang:
Estimating the Selectivity of XML Path Expression with Predicates by Histograms.
WAIM 2004: 409-418 |
2003 |
37 | EE | Jiong Yang,
Haixun Wang,
Wei Wang,
Philip S. Yu:
Enhanced Biclustering on Expression Data.
BIBE 2003: 321-327 |
36 | EE | Haixun Wang,
Chang-Shing Perng,
Wei Fan,
Sanghyun Park,
Philip S. Yu:
Indexing Weighted-Sequences in Large Databases.
ICDE 2003: 63-74 |
35 | EE | Jian Pei,
Xiaoling Zhang,
Moonjung Cho,
Haixun Wang,
Philip S. Yu:
MaPle: A Fast Algorithm for Maximal Pattern-based Clustering.
ICDM 2003: 259-266 |
34 | EE | Wei Fan,
Haixun Wang,
Philip S. Yu,
Sheng Ma:
Is random model better? On its accuracy and efficiency.
ICDM 2003: 51-58 |
33 | | Wei Fan,
Haixun Wang,
Philip S. Yu,
Shaw-hwa Lo:
Inductive Learning in Less Than One Sequential Data Scan.
IJCAI 2003: 595-600 |
32 | EE | Haixun Wang,
Wei Fan,
Philip S. Yu,
Jiawei Han:
Mining concept-drifting data streams using ensemble classifiers.
KDD 2003: 226-235 |
31 | EE | Haixun Wang,
Carlo Zaniolo:
ATLaS: A Native Extension of SQL for Data Mining.
SDM 2003 |
30 | | Carlo Zaniolo,
Chang Luo,
Y. Law,
Haixun Wang:
Incompleteness of Database Languages for Data Streams and Data Mining: the Problem and the Cure.
SEBD 2003: 5-20 |
29 | EE | Haixun Wang,
Sanghyun Park,
Wei Fan,
Philip S. Yu:
ViST: A Dynamic Index Method for Querying XML Data by Tree Structures.
SIGMOD Conference 2003: 110-121 |
28 | EE | Haixun Wang,
Carlo Zaniolo,
Chang Luo:
ATLAS: A Small but Complete SQL Extension for Data Mining and Data Streams.
VLDB 2003: 1113-1116 |
27 | EE | Zhiyuan Chen,
Li Chen,
Jian Pei,
Yufei Tao,
Haixun Wang,
Wei Wang,
Jiong Yang,
Jun Yang,
Donghui Zhang:
Recent Progress on Selected Topics in Database Research - A Report by Nine Young Chinese Researchers Working in the United States.
J. Comput. Sci. Technol. 18(5): 538-552 (2003) |
26 | | Faiz Arni,
KayLiang Ong,
Shalom Tsur,
Haixun Wang,
Carlo Zaniolo:
The Deductive Database System LDL++.
TPLP 3(1): 61-94 (2003) |
2002 |
25 | | Wei Fan,
Fang Chu,
Haixun Wang,
Philip S. Yu:
Pruning and Dynamic Scheduling of Cost-Sensitive Ensembles.
AAAI/IAAI 2002: 146-151 |
24 | EE | Haixun Wang,
Chang-Shing Perng,
Wei Fan,
Philip S. Yu:
An Index Structure for Pattern Similarity Searching in DNA Microarray Dat.
CSB 2002: 256-267 |
23 | EE | Haixun Wang,
Carlo Zaniolo:
Extending SQL for Decision Support Applications.
DMDW 2002: 1-2 |
22 | EE | Wei Fan,
Haixun Wang,
Philip S. Yu,
Salvatore J. Stolfo:
A Fully Distributed Framework for Cost-Sensitive Data Mining.
ICDCS 2002: 445-446 |
21 | EE | Haixun Wang,
Carlo Zaniolo:
The ATLaS System and Its Powerful Database Language Based on Simple Extensions of SQL.
ICDE 2002: 280-281 |
20 | EE | Jiong Yang,
Wei Wang,
Haixun Wang,
Philip S. Yu:
d-Clusters: Capturing Subspace Correlation in a Large Data Set.
ICDE 2002: 517-528 |
19 | EE | Wei Fan,
Haixun Wang,
Philip S. Yu,
Shaw-hwa Lo,
Salvatore J. Stolfo:
Progressive Modeling.
ICDM 2002: 163-170 |
18 | EE | Naoki Abe,
Edwin P. D. Pednault,
Haixun Wang,
Bianca Zadrozny,
Wei Fan,
Chidanand Apté:
Empirical Comparison of Various Reinforcement Learning Strategies for Sequential Targeted Marketing.
ICDM 2002: 3-10 |
17 | EE | Chang-Shing Perng,
Haixun Wang,
Sheng Ma,
Joseph L. Hellerstein:
User-directed Exploration of Mining Space with Multiple Attributes.
ICDM 2002: 394-401 |
16 | EE | Haixun Wang,
Chang-Shing Perng,
Sheng Ma,
Philip S. Yu:
Mining Associations by Pattern Structure in Large Relational Tables.
ICDM 2002: 482-489 |
15 | EE | Wei Fan,
Haixun Wang,
Philip S. Yu,
Salvatore J. Stolfo:
A Framework for Scalable Cost-sensitive Learning Based on Combing Probabilities and Benefits.
SDM 2002 |
14 | EE | Haixun Wang,
Wei Wang,
Jiong Yang,
Philip S. Yu:
Clustering by pattern similarity in large data sets.
SIGMOD Conference 2002: 394-405 |
13 | EE | Faiz Arni,
KayLiang Ong,
Shalom Tsur,
Haixun Wang,
Carlo Zaniolo:
The Deductive Database System LDL++
CoRR cs.DB/0202001: (2002) |
12 | EE | Chang-Shing Perng,
Haixun Wang,
Sheng Ma,
Joseph L. Hellerstein:
Discovery in multi-attribute data with user-defined constraints.
SIGKDD Explorations 4(1): 56-64 (2002) |
2001 |
11 | EE | Chang-Shing Perng,
Haixun Wang,
Sheng Ma,
Joseph L. Hellerstein:
FARM: A Framework for Exploring Mining Spaces with Multiple Attributes.
ICDM 2001: 449-456 |
10 | EE | Haixun Wang,
Philip S. Yu:
SSDT: A Scalable Subspace-Splitting Classifier for Biased Data.
ICDM 2001: 542-549 |
9 | EE | Haixun Wang,
Chang-Shing Perng:
The S2-Tree : An Index Structure for Subsequence Matching of Spatial Objects.
PAKDD 2001: 312-323 |
2000 |
8 | | Haixun Wang,
Carlo Zaniolo:
Database System Extensions for Decision Support: the AXL Approach.
ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery 2000: 11-20 |
7 | EE | Haixun Wang,
Carlo Zaniolo:
User Defined Aggregates in Object-Relational Systems.
ICDE 2000: 135-144 |
6 | EE | Chang-Shing Perng,
Haixun Wang,
Sylvia R. Zhang,
Douglas Stott Parker Jr.:
Landmarks: a New Model for Similarity-based Pattern Querying in Time Series Databases.
ICDE 2000: 33-42 |
5 | EE | Haixun Wang,
Carlo Zaniolo:
CMP: A Fast Decision Tree Classifier Using Multivariate Predictions.
ICDE 2000: 449-460 |
4 | EE | Haixun Wang,
Carlo Zaniolo:
Using SQL to Build New Aggregates and Extenders for Object- Relational Systems.
VLDB 2000: 166-175 |
1999 |
3 | EE | Haixun Wang,
Carlo Zaniolo:
User-Defined Aggregates for Datamining.
1999 ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery 1999 |
2 | EE | Haixun Wang,
Carlo Zaniolo:
User-Defined Aggregates in Database Languages.
DBPL 1999: 43-60 |
1998 |
1 | | Haixun Wang,
Carlo Zaniolo:
User Defined Aggregates for Logical Data Languages.
DDLP 1998: 85-97 |