Travelled to:5 × USA
Collaborated with:D.Jensen J.Allan M.Lavine J.Neville M.Hay H.G.Goldberg A.S.Fast M.E.Maier B.J.Taylor J.Komoroske T.E.Senator A.Memory W.T.Young B.Rees R.Pierce D.Huang M.Reardon D.A.Bader E.Chow I.A.Essa J.Jones V.Bettadapura D.H.Chau O.Green O.Kaya A.Zakrzewska E.Briscoe R.L.M.IV R.McColl L.Weiss T.G.Dietterich A.Fern W.Wong S.Das A.Emmott J.Irvine J.Y.Lee D.Koutra C.Faloutsos D.D.Corkill A.Gentzel
Talks about:detect (3) relat (2) joke (2) techniqu (1) influenc (1) individu (1) identifi (1) retriev (1) process (1) probabl (1)
Person: Lisa Friedland
DBLP: Friedland:Lisa
Contributed to:
2013
2013
200820072003Wrote 6 papers:
- ICML-c3-2013-FriedlandJL #detection #social
- Copy or Coincidence? A Model for Detecting Social Influence and Duplication Events (LF, DJ, ML), pp. 1175–1183.
- KDD-2013-SenatorGMYRPHRBCEJBCGKZBMMWDFWDEILKFCFGJ #database #detection #process
- Detecting insider threats in a real corporate database of computer usage activity (TES, HGG, AM, WTY, BR, RP, DH, MR, DAB, EC, IAE, JJ, VB, DHC, OG, OK, AZ, EB, RLMI, RM, LW, TGD, AF, WKW, SD, AE, JI, JYL, DK, CF, DDC, LF, AG, DJ), pp. 1393–1401.
- CIKM-2008-FriedlandA #retrieval
- Joke retrieval: recognizing the same joke told differently (LF, JA), pp. 883–892.
- KDD-2007-FastFMTJGK #detection #preprocessor #relational
- Relational data pre-processing techniques for improved securities fraud detection (ASF, LF, MEM, BJT, DJ, HGG, JK), pp. 941–949.
- KDD-2007-FriedlandJ #identification
- Finding tribes: identifying close-knit individuals from employment patterns (LF, DJ), pp. 290–299.
- KDD-2003-NevilleJFH #learning #probability #relational
- Learning relational probability trees (JN, DJ, LF, MH), pp. 625–630.