Travelled to:1 × China
1 × Switzerland
5 × USA
Collaborated with:G.Nagy S.C.Seth H.Yildirim N.Preston S.Epter E.A.Green D.W.Embley H.Zhang D.Kapur D.Jin S.Machado A.Joshi Y.Lin D.P.Lopresti S.K.Mehta
Talks about:tabl (3) extract (2) cluster (2) method (2) data (2) web (2) nonparametr (1) sparsiti (1) principl (1) mechaniz (1)
Person: Mukkai S. Krishnamoorthy
DBLP: Krishnamoorthy:Mukkai_S=
Contributed to:
2015
2011
20082004
2003
19991995
1988Wrote 8 papers:
- DRR-2015-NagyEKS #category theory #clustering #web
- Clustering header categories extracted from web tables (GN, DWE, MSK, SCS).
- ICDAR-2011-NagySJEMK #web
- Data Extraction from Web Tables: The Devil is in the Details (GN, SCS, DJ, DWE, SM, MSK), pp. 242–246.
- RecSys-2008-YildirimK #collaboration #problem #random
- A random walk method for alleviating the sparsity problem in collaborative filtering (HY, MSK), pp. 131–138.
- DRR-2004-NagyJKLLMS #classification #parametricity
- A nonparametric classifier for unsegmented text (GN, AJ, MSK, YL, DPL, SKM, SCS), pp. 102–108.
- CIAA-2003-PrestonK #automaton #named #visualisation
- AVA: An Applet for Visualizing FRACTRAN and Other Automata (NP, MSK), pp. 297–298.
- CIKM-1999-EpterK #clustering #multi
- A Multiple-Resolution Method for Edge-Centric Data Clustering (SE, MSK), pp. 491–498.
- ICDAR-v1-1995-GreenK #analysis #modelling
- Model-based analysis of printed tables (EAG, MSK), pp. 214–217.
- CADE-1988-ZhangKK #equation #induction #specification
- A Mechanizable Induction Principle for Equational Specifications (HZ, DK, MSK), pp. 162–181.