\newcommand{\etalchar}[1]{$^{#1}$}
\begin{thebibliography}{PMM{\etalchar{+}}94}

\bibitem[BM98]{uci}
C.L. Blake and C.J. Merz.
\newblock {UCI} {R}epository of {M}achine {L}earning {D}atabases
  http://www.ics.uci.edu/$\sim$mlearn/$\sim${MLR}epository.html.
\newblock {D}epartment of {I}nformation and {C}omputer {S}ciences, {U}niversity
  of {C}alifornia, {I}rvine, 1998.

\bibitem[Bra97]{brad}
A.~P. Bradley.
\newblock The {U}se of the {A}rea {U}nder the {ROC} {C}urve in the {E}valuation
  of {M}achine {L}earning {A}lgorithms.
\newblock {\em Pattern Recognition}, 30(6):1145--1159, 1997.

\bibitem[CBHK00]{us}
N.~Chawla, K.~Bowyer, L.~Hall, and P.~Kegelmeyer.
\newblock {SMOTE}: {S}ynthetic {M}inority {O}ver-sampling {TE}chnique.
\newblock In {\em International Conference of Knowledge Based Computer
  Systems}, pages 46--57. National Center for Software Technology, Mumbai,
  India, Allied Press, 2000.

\bibitem[CH99]{mustafa_tech}
N.~Chawla and L.O. Hall.
\newblock Modifying {MUSTAFA} to capture salient data.
\newblock Technical Report ISL-99-01, University of South Florida, Computer
  Science and Eng. Dept., 1999.

\bibitem[Coh95a]{cohen95learning}
W.~Cohen.
\newblock Learning to {C}lassify {E}nglish {T}ext with {ILP} {M}ethods.
\newblock In {\em Proceedings of the 5th International Workshop on Inductive
  Logic Programming}, pages 3--24. Department of Computer Science, Katholieke
  Universiteit Leuven, 1995.

\bibitem[Coh95b]{ripper}
William~W. Cohen.
\newblock {F}ast {E}ffective {R}ule {I}nduction.
\newblock In {\em Proc. 12th International Conference on Machine Learning},
  pages 115--123, Lake Tahoe, CA, 1995. Morgan Kaufmann.

\bibitem[CS93]{cost}
S.~Cost and S.~Salzberg.
\newblock A {W}eighted {N}earest {N}eighbor {A}lgorithm for {L}earning with
  {S}ymbolic {F}eatures.
\newblock {\em Machine Learning}, 10(1):57--78, 1993.

\bibitem[CS96]{cohen}
William~W. Cohen and Yoram Singer.
\newblock Context-sensitive {L}earning {M}ethods for {T}ext {C}ategorization.
\newblock In Hans-Peter Frei, Donna Harman, Peter Sch{\"{a}}uble, and Ross
  Wilkinson, editors, {\em Proceedings of {SIGIR}-96, 19th {ACM} International
  Conference on Research and Development in Information Retrieval}, pages
  307--315, Z{\"{u}}rich, CH, 1996. ACM Press, New York, US.

\bibitem[DBFS91]{der}
E.~DeRouin, J.~Brown, L.~Fausett, and M.~Schneider.
\newblock Neural {N}etwork {T}raining on {U}nequally {R}epresented {C}lasses.
\newblock In {\em Intellligent Engineering Systems Through Artificial Neural
  Networks}, pages 135--141, New York, 1991. ASME Press.

\bibitem[DH00]{holte2000}
C.~Drummond and R.C. Holte.
\newblock {E}xplicitly {R}epresenting {E}xpected {C}ost: {A}n {A}lternative to
  {ROC} {R}epresentation.
\newblock In {\em Proceedings of the Sixth ACM SIGKDD International Conference
  on Knowledge Discovery and Data Mining}, pages 198--207, Boston, 2000. ACM.

\bibitem[DHS01]{duda}
R.~Duda, P.~Hart, and D.~Stork.
\newblock {\em Pattern Classification}.
\newblock Wiley-Interscience, 2001.

\bibitem[Dom99]{meta}
P.~Domingos.
\newblock Metacost: A {G}eneral {M}ethod for {M}aking {C}lassifiers
  {C}ost-sensitive.
\newblock In {\em Proceedings of the Fifth ACM SIGKDD International Conference
  on Knowledge Discovery and Data Mining}, pages 155--164, San Diego, CA, 1999.
  ACM Press.

\bibitem[DPHS98]{dumais}
S.~Dumais, J.~Platt, D.~Heckerman, and M.~Sahami.
\newblock Inductive {L}earning {A}lgorithms and {R}epresentations for {Text}
  {C}ategorization.
\newblock In {\em Proceedings of the Seventh International Conference on
  Information and Knowledge Management.}, pages 148--155, 1998.

\bibitem[ESN96]{ezawa}
J.~Ezawa, K., M.~Singh, and W.~Norton, S.
\newblock Learning {G}oal {O}riented {B}ayesian {N}etworks for
  {T}elecommunications {R}isk {M}anagement.
\newblock In {\em Proceedings of the International Conference on Machine
  Learning, ICML-96}, pages 139--147, Bari, Italy, 1996. Morgan Kauffman.

\bibitem[FP96]{fawcett}
T.~Fawcett and F.~Provost.
\newblock {C}ombining {D}ata {M}ining and {M}achine {L}earning for {E}ffective
  {U}ser {P}rofile.
\newblock In {\em Proceedings of the 2nd International Conference on Knowledge
  Discovery and Data Mining}, pages 8--13, Portland, OR, 1996. AAAI.

\bibitem[HB97]{bunke}
T.~M. Ha and H~Bunke.
\newblock Off-line, {H}andwritten {N}umeral {R}ecognition by {P}erturbation
  {M}ethod.
\newblock {\em Pattern Analysis and Machine Intelligence}, 19/5:535--539, 1997.

\bibitem[HMK91]{estate}
L.H. Hall, B.K. Mohney, and L.B. Kier.
\newblock The {E}lectrotopological {S}tate: {S}tructure {I}nformation at the
  {A}tomic {L}evel for {M}olecular {G}raphs.
\newblock {\em Journal of Chemical Information and Computer Science}, 31(76),
  1991.

\bibitem[Jap00]{nat}
N.~Japkowicz.
\newblock The {C}lass {I}mbalance {P}roblem: {S}ignificance and {S}trategies.
\newblock In {\em Proceedings of the 2000 International Conference on
  Artificial Intelligence (IC-AI'2000): Special Track on Inductive Learning},
  Las Vegas, Nevada, 2000.

\bibitem[KHM98]{oil}
M.~Kubat, R.~Holte, and S.~Matwin.
\newblock Machine {L}earning for the {D}etection of {O}il {S}pills in
  {S}atellite {R}adar {I}mages.
\newblock {\em Machine Learning}, 30:195--215, 1998.

\bibitem[KM97]{kubat97}
M.~Kubat and S.~Matwin.
\newblock {A}ddressing the {C}urse of {I}mbalanced {T}raining {S}ets: {O}ne
  {S}ided {S}election.
\newblock In {\em Proceedings of the Fourteenth International Conference on
  Machine Learning}, pages 179--186, Nashville, Tennesse, 1997. Morgan
  Kaufmann.

\bibitem[LC94]{lewis}
D.~Lewis and J.~Catlett.
\newblock {H}eterogeneous {U}ncertainity {S}ampling for {S}upervised
  {L}earning.
\newblock In {\em Proceedings of the Eleventh International Conference of
  Machine Learning}, pages 148--156, San Francisco, CA, 1994. Morgan Kaufmann.

\bibitem[Lee00]{sauchi}
S.S. Lee.
\newblock Noisy {R}eplication in {S}kewed {B}inary {C}lassification.
\newblock {\em Computational Statistics and Data Analysis}, 34, 2000.

\bibitem[LL98]{ling}
C.~Ling and C.~Li.
\newblock {D}ata {M}ining for {D}irect {M}arketing {P}roblems and {S}olutions.
\newblock In {\em Proceedings of the Fourth International Conference on
  Knowledge Discovery and Data Mining (KDD-98)}, New York, NY, 1998. AAAI
  Press.

\bibitem[LR94]{lewiscomp}
D.~Lewis and M.~Ringuette.
\newblock A {C}omparison of {T}wo {L}earning {A}lgorithms for {T}ext
  {C}ategorization.
\newblock In {\em Proceedings of {SDAIR}-94, 3rd Annual Symposium on Document
  Analysis and Information Retrieval}, pages 81--93, 1994.

\bibitem[MG99]{mladenic}
D.~Mladeni\'{c} and M.~Grobelnik.
\newblock Feature {S}election for {Unbalanced} {C}lass {D}istribution and
  {N}aive {B}ayes.
\newblock In {\em Proceedings of the 16th International Conference on Machine
  Learning.}, pages 258--267. Morgan Kaufmann, 1999.

\bibitem[O'R98]{compu}
J.~O'Rourke.
\newblock {\em Computational Geometry in C}.
\newblock Cambridge University Press, UK, 1998.

\bibitem[PF01]{rocprovost1}
F.~Provost and T.~Fawcett.
\newblock Robust {C}lassification for {I}mprecise {E}nvironments.
\newblock {\em Machine Learning}, 42/3:203--231, 2001.

\bibitem[PFK98]{provost98}
F.~Provost, T.~Fawcett, and R.~Kohavi.
\newblock The {C}ase {A}gainst {A}ccuracy {E}stimation for {C}omparing
  {I}nduction {A}lgorithms.
\newblock In {\em Proceedings of the Fifteenth International Conference on
  Machine Learning}, pages 445--453, Madison, WI, 1998. Morgan Kauffmann.

\bibitem[PMM{\etalchar{+}}94]{pazzani}
M.~Pazzani, C.~Merz, P.~Murphy, K.~Ali, T.~Hume, and C.~Brunk.
\newblock Reducing {M}isclassification {C}osts.
\newblock In {\em Proceedings of the Eleventh International Conference on
  Machine Learning}, San Francisco, CA, 1994. Morgan Kauffmann.

\bibitem[Qui92]{quib}
J.R. Quinlan.
\newblock {\em C4.5: {P}rograms for {M}achine {L}earning}.
\newblock Morgan Kaufmann, San Mateo, CA, 1992.

\bibitem[SS96]{solb}
A.H. Solberg and R.~Solberg.
\newblock A {L}arge-{S}cale {E}valuation of {F}eatures for {A}utomatic
  {D}etection of {O}il {S}pills in {ERS} {SAR} {I}mages.
\newblock In {\em International Geoscience and Remote Sensing Symposium}, pages
  1484--1486, Lincoln, NE, 1996.

\bibitem[SW86]{stanfill}
C.~Stanfill and D.~Waltz.
\newblock {T}oward {M}emory-based {R}easoning.
\newblock {\em Communications of the ACM}, 29(12):1213--1228, 1986.

\bibitem[Swe88]{swet}
J.~Swets.
\newblock Measuring the {A}ccuracy of {D}iagnostic {S}ystems.
\newblock {\em Science}, 240:1285--1293, 1988.

\bibitem[Tom76]{tomek}
I.~Tomek.
\newblock Two {M}odifications of {CNN}.
\newblock {\em IEEE Transactions on Systems, Man and Cybernetics}, 6:769--772,
  1976.

\bibitem[Tur96]{turney}
P.~Turney.
\newblock Cost {S}ensitive {B}ibliography.
\newblock http://ai.iit.nrc.ca/bibiliographies/cost-sensitive.html, 1996.

\bibitem[vRHP81]{oddsratio}
C.J. van Rijsbergen, D.J. Harper, and M.F. Porter.
\newblock The {S}election of {G}ood {S}earch {T}erms.
\newblock {\em Information Processing and Management}, 17:77--91, 1981.

\bibitem[WDB{\etalchar{+}}93]{woods}
K.~Woods, C.~Doss, K.~Bowyer, J.~Solka, C.~Priebe, and P.~Kegelmeyer.
\newblock Comparative {E}valuation of {P}attern {R}ecognition {T}echniques for
  {D}etection of {M}icrocalcifications in {M}ammography.
\newblock {\em International Journal of Pattern Recognition and Artificial
  Intelligence}, 7(6):1417--1436, 1993.

\end{thebibliography}
