Travelled to:1 × Australia
1 × China
1 × France
1 × Turkey
3 × USA
Collaborated with:T.R.Hoens Y.Dong J.Tang Y.Yang G.Ditzler R.Polikar R.Lichtenwalter J.T.Lussier D.A.Cieslak D.Thain J.Zhang B.Wang D.A.Davis N.Blumm N.A.Christakis A.Barabási J.Xu T.L.Wickramarathne E.K.Grey K.Steinhaeuser R.P.Keller J.M.Drake D.M.Lodge
Talks about:predict (3) network (3) social (3) data (3) stationari (2) environ (2) learn (2) imbal (2) coupl (2) class (2)
Person: Nitesh V. Chawla
DBLP: Chawla:Nitesh_V=
Contributed to:
201520142012
20102010
2008
2006Wrote 8 papers:
- KDD-2015-DongZTCW #named #network #predict
- CoupledLP: Link Prediction in Coupled Networks (YD, JZ, JT, NVC, BW), pp. 199–208.
- KDD-2014-DongYTYC #mobile #network #social
- Inferring user demographics and social strategies in mobile social networks (YD, YY, JT, YY, NVC), pp. 15–24.
- KDD-2014-XuWCGSKDL #data mining #mining #network #social
- Improving management of aquatic invasions by integrating shipping network, ecological, and environmental data: data mining for social good (JX, TLW, NVC, EKG, KS, RPK, JMD, DML), pp. 1699–1708.
- KDD-2012-HoensC #learning
- Learning in non-stationary environments with class imbalance (TRH, NVC), pp. 168–176.
- ICPR-2010-DitzlerPC #algorithm #incremental #learning
- An Incremental Learning Algorithm for Non-stationary Environments and Class Imbalance (GD, RP, NVC), pp. 2997–3000.
- KDD-2010-LichtenwalterLC #predict
- New perspectives and methods in link prediction (RL, JTL, NVC), pp. 243–252.
- CIKM-2008-DavisCBCB #predict
- Predicting individual disease risk based on medical history (DAD, NVC, NB, NAC, ALB), pp. 769–778.
- HPDC-2006-CieslakTC #data mining #distributed #mining
- Troubleshooting Distributed Systems via Data Mining (DAC, DT, NVC), pp. 309–312.