BibSLEIGH — Vipin

Travelled to:

1 × Canada
1 × China
1 × France
1 × Germany
1 × United Kingdom
11 × USA

Collaborated with:

M.Steinbach P.Tan Y.Lin G.Karypis H.Xiong G.J.Simon A.Lazarevic S.Shekhar G.Pandey C.Potter S.A.Klooster R.Gupta P.W.Li Z.Zhang M.V.Joshi R.C.Agarwal J.Srivastava E.Han C.H.C.Leung R.Aggarwal G.Atluri C.L.Myers S.Boriah G.Fang B.Field T.Garg J.Kawale S.Chatterjee D.Ormsby K.Steinhaeuser S.Liess J.Ye Q.Li H.Park R.Janardan

Talks about:

associ (6) pattern (5) algorithm (3) parallel (3) support (3) base (3) multilevel (2) hypergraph (2) backtrack (2) supervis (2)

Person: Vipin Kumar

DBLP: Kumar:Vipin

Contributed to:

2012

2011

2009

2008

2007

2005

2004

2003

2002

1999

1997

1988

1987

1986

Wrote 23 papers:

KDD-2012-KawaleCOSLK #testing: Testing the significance of spatio-temporal teleconnection patterns (JK, SC, DO, KS, SL, VK), pp. 642–650.
KDD-2011-SimonKL #classification #statistics: A simple statistical model and association rule filtering for classification (GJS, VK, PWL), pp. 823–831.
KDD-2009-PandeyASMK #analysis #approach #clustering: An association analysis approach to biclustering (GP, GA, MS, CLM, VK), pp. 677–686.
KDD-2008-BoriahKSPK #case study #detection: Land cover change detection: a case study (SB, VK, MS, CP, SAK), pp. 857–865.
KDD-2008-GuptaFFSK #algorithm #approximate #evaluation #mining: Quantitative evaluation of approximate frequent pattern mining algorithms (RG, GF, BF, MS, VK), pp. 301–309.
KDD-2008-SimonKZ #agile #approach #reliability #scalability #set: Semi-supervised approach to rapid and reliable labeling of large data sets (GJS, VK, ZLZ), pp. 641–649.
KDD-2007-PandeySGGK #case study #interactive #network #predict: Association analysis-based transformations for protein interaction networks: a function prediction case study (GP, MS, RG, TG, VK), pp. 540–549.
CIKM-2005-XiongSK #database #learning #multi #privacy: Privacy leakage in multi-relational databases via pattern based semi-supervised learning (HX, MS, VK), pp. 355–356.
KDD-2005-LazarevicK #detection: Feature bagging for outlier detection (AL, VK), pp. 157–166.
KDD-2004-SteinbachTK: Support envelopes: a technique for exploring the structure of association patterns (MS, PNT, VK), pp. 296–305.
KDD-2004-SteinbachTXK: Generalizing the notion of support (MS, PNT, HX, VK), pp. 689–694.
KDD-2004-XiongSTK #bound #correlation #identification: Exploiting a support-based upper bound of Pearson’s correlation coefficient for efficiently identifying strongly correlated pairs (HX, SS, PNT, VK), pp. 334–343.
KDD-2004-YePLJXK #algorithm #composition #incremental #named #reduction: IDR/QR: an incremental dimension reduction algorithm via QR decomposition (JY, QL, HX, HP, RJ, VK), pp. 364–373.
KDD-2003-SteinbachTKKP #clustering #using: Discovery of climate indices using clustering (MS, PNT, VK, SAK, CP), pp. 446–455.
KDD-2002-JoshiAK #predict #question: Predicting rare classes: can boosting make any weak learner strong? (MVJ, RCA, VK), pp. 297–306.
KDD-2002-TanKS: Selecting the right interestingness measure for association patterns (PNT, VK, JS), pp. 32–41.
DAC-1999-KarypisK #clustering #multi: Multilevel k-way Hypergraph Partitioning (GK, VK), pp. 343–348.
DAC-1997-KarypisAKS #clustering #multi: Multilevel Hypergraph Partitioning: Application in VLSI Domain (GK, RA, VK, SS), pp. 526–529.
SIGMOD-1997-HanKK #data mining #mining #parallel #scalability: Scalable Parallel Data Mining for Association Rules (EHH, GK, VK), pp. 277–288.
JICSCP-1988-LinK88 #execution #logic programming #memory management #multi #source code #summary: AND-Parallel Execution of Logic Programs on a Shared Memory Multiprocessor: A Summary of Results (YJL, VK), pp. 1123–1141.
SLP-1987-KumarL87 #backtracking #prolog: An Intelligent Backtracking Scheme for Prolog (VK, YJL), pp. 406–414.
ICLP-1986-LinKL86 #algorithm #backtracking #execution #logic programming #parallel #source code: An Intelligent Backtracking Algorithm for Parallel Execution of Logic Programs (YJL, VK, CHCL), pp. 55–68.