BibSLEIGH — Jian

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: Pei:Jian

Facilitated 2 volumes:

Contributed to:

2015

2014

2013

2012

2011

2010

2009

2008

2007

2006

2005

2004

2003

2002

2001

2000

2006

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.