Travelled to:1 × Germany
1 × Italy
5 × USA
Collaborated with:G.M.Provan J.Hu J.Kalagnanam S.Verma A.Mojsilovic K.J.Ezawa S.W.Norton H.Kashima B.K.Ray A.J.Shah S.K.Chalasani M.Patek Y.W.Wong M.K.Singley P.G.Fairweather R.G.Farrell S.Swerling
Talks about:bayesian (3) select (3) learn (3) classifi (2) network (2) cluster (2) manag (2) autom (2) data (2) use (2)
Person: Moninder Singh
DBLP: Singh:Moninder
Contributed to:
2008
2005
2004
2000
199619961995Wrote 9 papers:
- ICPR-2008-HuSM #categorisation #clustering #using
- Categorization using semi-supervised clustering (JH, MS, AM), pp. 1–4.
- ICPR-2008-KashimaHRS #clustering #distance #using
- K-means clustering of proportional data using L1 distance (HK, JH, BKR, MS), pp. 1–4.
- CIKM-2005-SinghKVSC #automation
- Automated cleansing for spend analytics (MS, JK, SV, AJS, SKC), pp. 437–445.
- KDD-2004-KalagnanamSVPW #automation
- A system for automated mapping of bill-of-materials part numbers (JK, MS, SV, MP, YWW), pp. 805–810.
- CSCW-2000-SingleySFFS #algebra #collaboration #learning
- Algebra jam: supporting teamwork and managing roles in a collaborative learning environment (MKS, MS, PGF, RGF, SS), pp. 145–154.
- ICML-1996-EzawaSN #learning #network #risk management
- Learning Goal Oriented Bayesian Networks for Telecommunications Risk Management (KJE, MS, SWN), pp. 139–147.
- ICML-1996-SinghP #classification #learning #network #performance
- Efficient Learning of Selective Bayesian Network Classifiers (MS, GMP), pp. 453–461.
- KDD-1996-ProvanS #case study #data mining #mining
- Data Mining and Model Simplicity: A Case Study in Diagnosis (GMP, MS), pp. 57–62.
- ICML-1995-SinghP #algorithm #classification #comparison #induction
- A Comparison of Induction Algorithms for Selective and non-Selective Bayesian Classifiers (MS, GMP), pp. 497–505.