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Travelled to:
1 × Australia
1 × Austria
1 × Croatia
1 × France
1 × Germany
1 × Greece
1 × Korea
1 × Norway
1 × Portugal
1 × Switzerland
2 × Canada
2 × Italy
22 × USA
5 × China
Collaborated with:
J.Han D.Jiang M.Hua L.V.S.Lakshmanan A.W.Fu A.Zhang H.Li X.Lin K.Wang W.Wang Y.Tao Y.Zhao T.Xie C.Raïssi P.S.Yu B.Shi R.C.Wong C.Sheng H.Wang C.Tang J.Wang H.Maserrat W.Zhang B.Jiang G.Dong C.Wang Y.Zhu J.Han J.Wen T.Kister F.M.Jiang C.C.Aggarwal B.Zhang Q.Chen U.Dayal Y.Yin E.Chen Q.He T.Wang J.Gao D.Yang S.Tang B.Zhou M.Acharya J.Xu Y.Yuan W.Jin M.Ester L.Deng J.Ma D.L.Lee Y.Huang H.Xiong S.Shekhar R.Mao K.Hu H.Zhu Y.Zhang J.Tang Z.Yang L.Chu S.Wang S.Liu Q.Huang J.Liu L.Xiong J.Luo H.Zhang G.Tang K.Wu J.Tang J.Lei Q.Qian J.Hu R.Jin S.Zhu W.Yu L.Chang Y.Wang P.Wang S.Huang M.Hay K.Liu G.Miklau E.Terzi C.Wang L.Yuan J.You O.R.Zaïane K.Yi F.Li H.Zhong L.Zhang H.Mei D.W.Cheung H.Leung Y.Xu R.She J.Yin J.X.Yu J.Zhang X.Zhou M.Ramanathan J.M.W.Lam B.On E.Elmacioglu D.Lee J.Kang Y.Hu Y.Qian Q.Zheng B.Xiang X.Sun B.Chen B.Qiu P.Mitra C.L.Giles Y.S.Ho T.Wong Y.Liu J.Xu X.Wang Y.Wu H.Pinto B.Mortazavi-Asl M.Hsu K.Yu D.Wang W.Ding D.L.Small S.Islam X.Wu W.Liu A.Kan J.Chan J.Bailey C.Leckie K.Ramamohanarao J.Wang C.Chen C.Wang J.Bu Z.Guan W.V.Zhang H.Cao Z.Liao X.Yan B.Yang H.Wu K.Liu
Talks about:
mine (29) data (29) pattern (15) search (9) cube (9) queri (8) base (8) gene (7) frequent (6) approach (6)

Person: Jian Pei

DBLP DBLP: Pei:Jian

Facilitated 2 volumes:

CIKM 2013Ed
KDD 2012Ed

Contributed to:

KDD 20152015
VLDB 20152015
CIKM 20142014
KDD 20142014
VLDB 20142013
VLDB 20132013
CIKM 20122012
SIGIR 20122012
KDD 20112011
SIGIR 20112011
SIGMOD 20112011
VLDB 20112011
KDD 20102010
SIGIR 20102010
SIGMOD 20102010
VLDB 20102010
CIKM 20092009
ECOOP 20092009
KDD 20092009
SIGMOD 20092009
KDD 20082008
SIGMOD 20082008
VLDB 20082008
CIKM 20072007
ESEC/FSE 20072007
KDD 20072007
VLDB 20072007
CIKM 20062006
KDD 20062006
MSR 20062006
VLDB 20062006
KDD 20052005
SIGMOD 20052005
VLDB 20052005
KDD 20042004
VLDB 20042004
KDD 20032003
SAC 20032003
SIGMOD 20032003
VLDB 20032003
CIKM 20022002
SIGMOD 20022002
VLDB 20022002
CIKM 20012001
KDD-T 20012001
VLDB 20012001
KDD 20002000
SIGMOD 20002000
JCDL 20062006

Wrote 73 papers:

KDD-2015-YuW0PSIW #bound #markov #multi
Tornado Forecasting with Multiple Markov Boundaries (KY, DW, WD, JP, DLS, SI, XW), pp. 2237–2246.
KDD-2015-ZhangTYPY #consistency #named #network #social
COSNET: Connecting Heterogeneous Social Networks with Local and Global Consistency (YZ, JT, ZY, JP, PSY), pp. 1485–1494.
VLDB-2015-ChuWLHP #clustering #detection #named #scalability
ALID: Scalable Dominant Cluster Detection (LC, SW, SL, QH, JP), pp. 826–837.
VLDB-2015-LiuXPLZ
Finding Pareto Optimal Groups: Group-based Skyline (JL, LX, JP, JL, HZ), pp. 2086–2097.
CIKM-2014-HanWP #classification #using
Within-Network Classification Using Radius-Constrained Neighborhood Patterns (JH, JRW, JP), pp. 1539–1548.
CIKM-2014-TangWPTL #approach #detection
An Appliance-Driven Approach to Detection of Corrupted Load Curve Data (GT, KW, JP, JT, JL), pp. 1429–1438.
KDD-2014-QianHJPZ #approach #distance #learning #metric #using
Distance metric learning using dropout: a structured regularization approach (QQ, JH, RJ, JP, SZ), pp. 323–332.
VLDB-2014-YuLZCP13 #effectiveness
More is Simpler: Effectively and Efficiently Assessing Node-Pair Similarities Based on Hyperlinks (WY, XL, WZ, LC, JP), pp. 13–24.
VLDB-2013-WangWPWH #adaptation #segmentation
A Data-adaptive and Dynamic Segmentation Index for Whole Matching on Time Series (YW, PW, JP, WW, SH), pp. 793–804.
CIKM-2012-LiuKCBLPR #graph #on the
On compressing weighted time-evolving graphs (WL, AK, JC, JB, CL, JP, KR), pp. 2319–2322.
SIGIR-2012-HuQLJPZ #mining #query #topic
Mining query subtopics from search log data (YH, YnQ, HL, DJ, JP, QZ), pp. 305–314.
KDD-2011-RaissiP #bound #towards
Towards bounding sequential patterns (CR, JP), pp. 1379–1387.
SIGIR-2011-JiangPL #mining #web
Enhancing web search by mining search and browse logs (DJ, JP, HL), pp. 1295–1296.
SIGMOD-2011-HayLMPT #data transformation #network #privacy
Privacy-aware data management in information networks (MH, KL, GM, JP, ET), pp. 1201–1204.
SIGMOD-2011-TaoSP #on the
On k-skip shortest paths (YT, CS, JP), pp. 421–432.
VLDB-2011-WangYYZP #database #nondeterminism #on the #ranking
On Pruning for Top-K Ranking in Uncertain Databases (CW, LYY, JHY, ORZ, JP), pp. 598–609.
KDD-2010-MaserratP #network #query #social
Neighbor query friendly compression of social networks (HM, JP), pp. 533–542.
SIGIR-2010-JiangPL #challenge #information retrieval #mining #web
Search and browse log mining for web information retrieval: challenges, methods, and applications (DJ, JP, HL), p. 912.
SIGIR-2010-XiangJPSCL #ranking #web
Context-aware ranking in web search (BX, DJ, JP, XS, EC, HL), pp. 451–458.
SIGMOD-2010-TaoYSPL #summary
Logging every footstep: quantile summaries for the entire history (YT, KY, CS, JP, FL), pp. 639–650.
VLDB-2010-RaissiPK
Computing Closed Skycubes (CR, JP, TK), pp. 838–847.
CIKM-2009-HeCPQMG #detection #evolution #how #question #topic
Detecting topic evolution in scientific literature: how can citations help? (QH, BC, JP, BQ, PM, CLG), pp. 957–966.
ECOOP-2009-ZhongXZPM #api #mining #named #recommendation
MAPO: Mining and Recommending API Usage Patterns (HZ, TX, LZ, JP, HM), pp. 318–343.
KDD-2009-WangCWPBGZ #independence #question
Can we learn a template-independent wrapper for news article extraction from a single training site? (JW, CC, CW, JP, JB, ZG, WVZ), pp. 1345–1354.
KDD-2009-ZhouJPL #data-driven #framework
OLAP on search logs: an infrastructure supporting data-driven applications in search engines (BZ, DJ, JP, HL), pp. 1395–1404.
SIGMOD-2009-WangYGYTWLP #case study #communication #data mining #mining #mobile #named
MobileMiner: a real world case study of data mining in mobile communication (TW, BY, JG, DY, ST, HW, KL, JP), pp. 1083–1086.
KDD-2008-CaoJPHLCL #mining #query
Context-aware query suggestion by mining click-through and session data (HC, DJ, JP, QH, ZL, EC, HL), pp. 875–883.
KDD-2008-HuaP #named
DiMaC: a disguised missing data cleaning tool (MH, JP), pp. 1077–1080.
KDD-2008-JiangPLCH #mining
Mining preferences from superior and inferior examples (BJ, JP, XL, DWC, JH), pp. 390–398.
SIGMOD-2008-HuaP #named
DiMaC: a system for cleaning disguised missing data (MH, JP), pp. 1263–1266.
SIGMOD-2008-HuaPZL #approach #nondeterminism #probability #query #ranking
Ranking queries on uncertain data: a probabilistic threshold approach (MH, JP, WZ, XL), pp. 673–686.
SIGMOD-2008-PeiHTL #nondeterminism #probability #query #summary #tutorial
Query answering techniques on uncertain and probabilistic data: tutorial summary (JP, MH, YT, XL), pp. 1357–1364.
VLDB-2008-WongFPHWL #performance #query
Efficient skyline querying with variable user preferences on nominal attributes (RCWW, AWCF, JP, YSH, TW, YL), pp. 1032–1043.
CIKM-2007-JiangPF #named #xml
Ix-cubes: iceberg cubes for data warehousing and olap on xml data (FMfJ, JP, AWCF), pp. 905–908.
ESEC-FSE-2007-AcharyaXPX #api #mining #partial order #source code #specification
Mining API patterns as partial orders from source code: from usage scenarios to specifications (MA, TX, JP, JX), pp. 25–34.
KDD-2007-HuaP #approach #heuristic
Cleaning disguised missing data: a heuristic approach (MH, JP), pp. 950–958.
KDD-2007-WongFPW #mining
Mining favorable facets (RCWW, JP, AWCF, KW), pp. 804–813.
VLDB-2007-HuaPFLL #database #query #scalability
Efficiently Answering Top-k Typicality Queries on Large Databases (MH, JP, AWCF, XL, HfL), pp. 890–901.
VLDB-2007-PeiJLY #nondeterminism #probability
Probabilistic Skylines on Uncertain Data (JP, BJ, XL, YY), pp. 15–26.
VLDB-2007-WongFWP #privacy
Minimality Attack in Privacy Preserving Data Publishing (RCWW, AWCF, KW, JP), pp. 543–554.
CIKM-2006-XuWFSP #classification #correlation #data type
Classification spanning correlated data streams (YX, KW, AWCF, RS, JP), pp. 132–141.
KDD-2006-AggarwalPZ #data mining #mining #on the #privacy
On privacy preservation against adversarial data mining (CCA, JP, BZ), pp. 510–516.
KDD-2006-WangYPYY #concept #data type #mining
Suppressing model overfitting in mining concept-drifting data streams (HW, JY, JP, PSY, JXY), pp. 736–741.
KDD-2006-XuWPWSF #using
Utility-based anonymization using local recoding (JX, WW, JP, XW, BS, AWCF), pp. 785–790.
MSR-2006-XieP #api #mining #named #open source #repository
MAPO: mining API usages from open source repositories (TX, JP), pp. 54–57.
VLDB-2006-ZhangZWSP #feedback #image #interactive #using
Using High Dimensional Indexes to Support Relevance Feedback Based Interactive Images Retrival (JZ, XZ, WW, BS, JP), pp. 1211–1214.
KDD-2005-PeiJZ #clique #mining #on the
On mining cross-graph quasi-cliques (JP, DJ, AZ), pp. 228–238.
KDD-2005-WangPY #array #similarity
Pattern-based similarity search for microarray data (HW, JP, PSY), pp. 814–819.
SIGMOD-2005-WangWZSPYH #database #graph #named #scalability
GraphMiner: a structural pattern-mining system for large disk-based graph databases and its applications (WW, CW, YZ, BS, JP, XY, JH), pp. 879–881.
VLDB-2005-PeiJET #approach #semantics
Catching the Best Views of Skyline: A Semantic Approach Based on Decisive Subspaces (JP, WJ, ME, YT), pp. 253–264.
KDD-2004-DengPML #rank
A rank sum test method for informative gene discovery (LD, JP, JM, DLL), pp. 410–419.
KDD-2004-JiangPRTZ #array #clustering #mining
Mining coherent gene clusters from gene-sample-time microarray data (DJ, JP, MR, CT, AZ), pp. 430–439.
KDD-2004-WangWPZS #database #graph #mining #scalability
Scalable mining of large disk-based graph databases (CW, WW, JP, YZ, BS), pp. 316–325.
VLDB-2004-JiangPZ #interactive #mining #named
GPX: Interactive Mining of Gene Expression Data (DJ, JP, AZ), pp. 1249–1252.
KDD-2003-JiangPZ #interactive
Interactive exploration of coherent patterns in time-series gene expression data (DJ, JP, AZ), pp. 565–570.
KDD-2003-TangZP #mining
Mining phenotypes and informative genes from gene expression data (CT, AZ, JP), pp. 655–660.
KDD-2003-WangHP #mining
CLOSET+: searching for the best strategies for mining frequent closed itemsets (JW, JH, JP), pp. 236–245.
SAC-2003-HuangXSP #mining
Mining Confident Colocation Rules without A Support Threshold (YH, HX, SS, JP), pp. 497–501.
SIGMOD-2003-LakshmananPZ #named #performance #semantics #summary
QC-Trees: An Efficient Summary Structure for Semantic OLAP (LVSL, JP, YZ), pp. 64–75.
SIGMOD-2003-LakshmananPZ03a #named #semantics #summary
SOCQET: Semantic OLAP with Compressed Cube and Summarization (LVSL, JP, YZ), p. 658.
VLDB-2003-LakshmananPZ #semantics #summary
Efficacious Data Cube Exploration by Semantic Summarization and Compression (LVSL, JP, YZ), pp. 1125–1128.
CIKM-2002-PeiHW #constraints #database #mining #scalability
Mining sequential patterns with constraints in large databases (JP, JH, WW), pp. 18–25.
SIGMOD-2002-HanWDPW #named #online
CubeExplorer: online exploration of data cubes (JH, JW, GD, JP, KW), p. 626.
SIGMOD-2002-WangTYGWP #effectiveness #information management #integration #named #query #towards #web
COMMIX: towards effective web information extraction, integration and query answering (TW, ST, DY, JG, YW, JP), p. 620.
VLDB-2002-LakshmananPH #how #semantics
Quotient Cube: How to Summarize the Semantics of a Data Cube (LVSL, JP, JH), pp. 778–789.
CIKM-2001-PintoHPWCD #mining #multi
Multi-Dimensional Sequential Pattern Mining (HP, JH, JP, KW, QC, UD), pp. 81–88.
KDD-T-2001-HanLP #bibliography #mining #perspective #scalability
Scalable frequent-pattern mining methods: an overview (JH, LVSL, JP), pp. 264–324.
VLDB-2001-DongHLPW #mining #multi
Mining Multi-Dimensional Constrained Gradients in Data Cubes (GD, JH, JMWL, JP, KW), pp. 321–330.
KDD-2000-HanPMCDH #mining #named
FreeSpan: frequent pattern-projected sequential pattern mining (JH, JP, BMA, QC, UD, MH), pp. 355–359.
KDD-2000-PeiH #constraints #mining #question
Can we push more constraints into frequent pattern mining? (JP, JH), pp. 350–354.
SIGMOD-2000-HanPY #generative #mining
Mining Frequent Patterns without Candidate Generation (JH, JP, YY), pp. 1–12.
SIGMOD-2000-PeiMHZ #benchmark #data mining #metric #mining #performance #towards
Towards Data Mining Benchmarking: A Testbed for Performance Study of Frequent Pattern Mining (JP, RM, KH, HZ), p. 592.
JCDL-2006-OnELKP #approach #clique #effectiveness #library #problem #using
An effective approach to entity resolution problem using quasi-clique and its application to digital libraries (BWO, EE, DL, JK, JP), pp. 51–52.

Bibliography of Software Language Engineering in Generated Hypertext (BibSLEIGH) is created and maintained by Dr. Vadim Zaytsev.
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