000 01420nam a2200385 i 4500
005 20250930141905.0
008 170405s2016 my a m 000 0 eng d
039 9 _a201706071530
_bhendon
_y04-05-2017
_zhamdan
040 _aUKM
_erda
090 _aQA278.55.B645 2016 3 tesis
090 _aQA278.55
_b.B645 2016 3
100 1 _aBoobord, Fatemeh,
_eauthor.
245 1 0 _aEnhancements of invasive weed optimization algorithm for solving clustering problems /
_cFatemeh Boobord.
264 0 _c2016.
300 _axv, 142 pages :
_billustrations ;
_c30 cm.
336 _atext
_2rdacontent
337 _aunmediated
_2rdamedia
338 _avolume
_2rdacarrier
502 _aThesis (Ph.D) - Universiti Kebangsaan Malaysia, 2016.
504 _aReferences : page [118]-125.
610 2 0 _aUniversiti Kebangsaan Malaysia
_xDissertations.
_962865
650 0 _aCluster analysis.
650 0 _aAlgorithms.
650 0 _aData mining.
650 0 _aArtificial intelligence.
650 0 _aDissertations, Academic
_zMalaysia.
_962866
907 _a.b16460510
_b2025-07-18
_c2019-11-12
942 _c3
_n0
_kQA278.55.B645 2016 3 tesis
914 _avtls003620580
990 _ahak/ha
991 _aFakulti Teknologi dan Sains Maklumat
998 _al
_b2017-05-04
_cm
_dx
_feng
_gmy
_y0
_z.b16460510
999 _c619197
_d619197