Travelled to:1 × Italy
3 × Canada
8 × USA
Collaborated with:M.Ester H.Kriegel K.Yu J.Sander V.Tresp N.Yuruk Z.Xu M.Mete F.Beil Z.Feng T.A.J.Schweiger S.Shankar S.Asa V.Sipos A.K.Jain T.K.Ho F.Xiao J.Wang A.Schwaighofer M.Wimmer
Talks about:databas (5) cluster (5) spatial (3) text (3) larg (3) base (3) algorithm (2) collabor (2) densiti (2) filter (2)
Person: Xiaowei Xu
DBLP: Xu:Xiaowei
Contributed to:
2007
2005
2005
2003
2002
200220022001
1998199719961995Wrote 13 papers:
- KDD-2007-XuYFS #algorithm #clustering #named #network
- SCAN: a structural clustering algorithm for networks (XX, NY, ZF, TAJS), pp. 824–833.
- ASE-2005-ShankarASX #realtime #reasoning #semantics
- Reasoning about real-time statecharts in the presence of semantic variations (SS, SA, VS, XX), pp. 243–252.
- SAC-2005-XuMY #concept #database #information management #mining #scalability
- Mining concept associations for knowledge discovery in large textual databases (XX, MM, NY), pp. 549–550.
- ECIR-2003-XuXYT #approach #hybrid #retrieval
- A Hybrid Relevance-Feedback Approach to Text Retrieval (ZX, XX, KY, VT), pp. 281–293.
- ECIR-2003-XuYTXW #classification #using
- Representative Sampling for Text Classification Using Support Vector Machines (ZX, KY, VT, XX, JW), pp. 393–407.
- CIKM-2002-YuXSTK #collaboration #consistency #in memory #nondeterminism
- Removing redundancy and inconsistency in memory-based collaborative filtering (KY, XX, AS, VT, HPK), pp. 52–59.
- ICPR-v4-2002-JainXHX #testing #using
- Uniformity Testing Using Minimal Spanning Tree (AKJ, XX, TKH, FX), pp. 281–284.
- KDD-2002-BeilEX #clustering
- Frequent term-based text clustering (FB, ME, XX), pp. 436–442.
- CIKM-2001-YuXEK #collaboration #performance
- Selecting Relevant Instances for Efficient and Accurate Collaborative Filtering (KY, XX, ME, HPK), pp. 239–246.
- VLDB-1998-EsterKSWX #clustering #incremental #mining
- Incremental Clustering for Mining in a Data Warehousing Environment (ME, HPK, JS, MW, XX), pp. 323–333.
- KDD-1997-EsterKSX #database #detection #set
- Density-Connected Sets and their Application for Trend Detection in Spatial Databases (ME, HPK, JS, XX), pp. 10–15.
- KDD-1996-EsterKSX #algorithm #clustering #database #scalability
- A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise (ME, HPK, JS, XX), pp. 226–231.
- KDD-1995-EsterKX #clustering #database #interface #scalability
- A Database Interface for Clustering in Large Spatial Databases (ME, HPK, XX), pp. 94–99.