000 01383nam a2200361 i 4500
005 20250930145601.0
008 161108s2016 my a m 000 0 eng d
039 9 _a201612291708
_bnikzal
_y11-08-2016
_zmiza
040 _aUKM
_erda
090 _aTK7882.P3V333 2016 3 tesis
090 _aTK7882.P3
_bV333 2016 3
100 1 _aVadoodparast, Massoud,
_eauthor.
245 1 0 _aFraudulent electronic transaction detection using hybrid approach of clustering techniques /
_cMassoud Vadooparast.
264 0 _c2016.
300 _axiii, 172 pages :
_billustrations ;
_c30 cm.
336 _atext
_2rdacontent
337 _aunmediated
_2rdamedia
338 _avolume
_2rdacarrier
502 _aThesis (M.A.)-Universiti Kebangsaan Malaysia, 2016.
504 _aReferences : page 142-146.
610 2 0 _aUniversiti Kebangsaan Malaysia
_xDissertations.
_962865
650 0 _aDissertations, Academic
_zMalaysia.
_962866
650 0 _aPattern recognition systems.
650 0 _aFraud investigation.
907 _a.b16387405
_b2025-07-18
_c2019-11-12
942 _c3
_n0
_kTK7882.P3V333 2016 3 tesis
914 _avtls003612817
990 _armn/nz
991 _aFakulti Teknologi dan Sains Maklumat
998 _al
_b2016-08-11
_cm
_dx
_feng
_gmy
_y0
_z.b16387405
999 _c687688
_d687688