%PDF-1.5
%
2 0 obj
<<
/Lang (fr-CA)
/Type /Catalog
/Pages 4 0 R
/MarkInfo <<
/Marked true
>>
/Metadata 5 0 R
/StructTreeRoot 6 0 R
>>
endobj
5 0 obj
<<
/Type /Metadata
/Length 3737
/Subtype /XML
>>
stream
2013-10-24T10:43:26-04:00
Microsoft® Word 2010
2014-01-13T12:23:53-04:00
frequent pattern mining, association rule, itemset mining, itemset tree, memory constraint, targeted queries
PDF-XChange Viewer [Version: 2.0 (Build 49.0) (Mar 15 2010; 19:31:15)]
application/pdf
MEIT: Memory Efficient Itemset Tree for Targeted Association Rule Mining
Philippe Fournier-Viger
Esperance Mwamikazi
Ted Gueniche
Usef Faghihi
frequent pattern mining
association rule
itemset mining
itemset tree
memory constraint
targeted queries
endstream
endobj
23 0 obj
<<
/Filter [/FlateDecode]
/Length 5648
>>
stream
x\mHrnA_ JpX\,־ >ΌpiNnM
c^_VwaU~~n7WO_G(bU,]UEŧ^}Q돿_ur}ON67zz{b};tm//_q~8t!xOK[6t0vMU*mWwP&cq]{0k#.\%@V֊5㰭Mx#|rX{: ;{ni# J߬VDΦ
'aze)J$q~kH/O*jOtsnKY*=*y.b]'haa=V~qqREWeQ+VM*J-ypDn]s 5ضa+=|_7R ~-H[jGں0x0Ւ
R,KOUP4T~?=o߸'h`&B,\)t!奂?,U:}:[OFnQ #.Ji(p7G3ݞV-V'
/a֧rK+\4{@8uG24
x[.uPA,C2]\rT ж]ʚ#% U_I1MtO|#MO-,T@yA&Җs"YAj Bm!TOmqw|>x m]/*UfB=Kk:}~<Pl9PoƕGԁhm.Ň0Nc8ZҬq6aQV)]s{}~ޟs>GLg˳25052*ꪇѠɻ{OΓԖ41P\w]u]Xrq' _Ӓ? 7C0":D'd<|"ڒb lh "8o(@rk8;Ȼ-",lN,&>DtAK1bG_f?"|R ^ZhbN@OWt2o* 07B@6|CfX,l>!ќvc\3Ւ"DLnpQu ׀en k(5#srqܮ7&E֯lYdae0TqaDML; U'\TULu)Ъ{PV5
,MA3=H
3soA# s,JqoYC||)X6)MJ{keBwjMpE4;AB*ɸ#ZB
]$6ƻ Pnq[*qHlp]&[E"t\}4Z@\&&s9K.ۑb\,6.!L+Vp洣o>9]s
"vh})M`ua?(Z\pKSFŒftB$O0>.)IM'ˎSO洃Moo獝WB!'R!{:7Ȧ^OS4'zS
i(%n#t kESsK3iDK'_S%Q<>ysG^S
R96ղfD{ulfR6퐺ζ#Qpj]8Dvkq~LG5,7C
oNCcB!EӡA&r&tWc}26nsơ7fJ6y!ͱ>:aj(c%2Y ,&@C^w|.KX6M, T81}GG!jhm(*ug9,UR6Q}o!b1u=)ITΒ&1cdS7|RqoN)u {ax@.M9ZӅ)@+#SM\6ӿn_bAvz|"ER|HpIsa!wt-`l9JNh#2&ED/h-MEŊzB{0X(BEw9qxܒ.1OpHcG_@B9$Ľ<}=4c%Ǫq"8/p
9̷_;6|Y,ebj>솫D"N _DBXl.(PNPZ|
lb~Ha,҉ڀRl0CRF֘ϛPFs910coz`ml
ŀxSZP'S:^ bmmiy~8ㆴkE9DDqoD \bn0.{ z>Hx/iF(;_"E3
4R)0O|GZ^Q9RJsw"VYkOX!RUMe[F%dw>y*ѧaBA[P@CO˵49|_bg xX!PʎiϘ=+JJRV>bʶhJީlqD' -EXVz8`D(F>Ox* Te6[p̹oʇ>w,4}Mf.KXuh˚c3Δrf$Sm
5 "]
,>?6R9="o~2f_a+@z=QoD"U6&ȅWHQP.!Ǹ@J+Y4=t,v=6B#4."`|u'obݩD֫ĶeE\}@o m>:U;jHj#Ul|(&7a=TI
AS1zD:n_'0=]@v8^a7.4А(p^=%4[55jID4r.$LId&e@
dsmزZf=R coҒf,tOÈTrHYb-79*@q3٭M[*!}&B|
Dx(՜C;ZaM>M8v+NOaQ6놀8nxEÆ0,Ҹv-$&w\3y\X>a1v=0`^{{ѓ'?-
/'IE3TL Jep. sv8P\&~}Cx"dLL*WWDX
r|rY MfӲO1́
2l4dxeÉ1"&㪧Sx/±lJkM[#gB0/!L8bCDC5x%:crH
SB>]qڔGQxgfpS 5}$Gr
rZS1Xaoz_#v?>r~Sx(*|te&AoԅJuzH^P0zV7\M-:ml!ev.C /g_ۑstPuiwLŰ`Z*>r#L%&BȄ24[b֑f1e.g
pH{^6MHdSd{zt="nr
d;uT2;F
Ӝ R-ƴM߆?)_, 0W&tͩ-Yt-UPhQHT
BuEݜ
{SQ>K pTLCq}=dYƏCmRY>O츮YXkW٢H)*t _\Z䦞73oVv؊ fϡr0屘U4,Q 5% Kg^$5Sx";8:߬eqyd')XZDjsٹj
1dRhCʬ&:CP6aS^6+:qІ4Ұ}ǖpjC4f,Fs~f>&Sٱa5fn;\e[:!
3s$%-@i
ykxN_)C@^fC,w\@Ν2~k.G!hd-'iP@xL/s^=FcckS~eqw=?bMJfECB06qR>dj3U<ԣkj,ltp3_KMF߅Ii}n<`
a/V%:p
ɫUmby0ڰ9lpMO~qƗl2G}i͌kjeH6.QӶ#%ཇpQ>oHaOz>і"ү1;t e3?DOǦZ1>aw.1_4~?CW{GJXL:3pciRz枭'M
!!\vX]sY=2,"o
<h0r&r"v5rDž݆.lϻ{ȭ 9?ÈaGVrT>U٨WЄv.Ʋɖb'y1VzQl^]i7,q5YmIz{L8"])%RV6lj4!~sJ]ۅ'_n *hћ+Z]EI*Ђ1fb1MLi%]N@+ v`s-QeFsDCI2EefoC],ZV#跜EvVL9#z$)"?:[NmKߡ5ODƊ/2gBt ]*nC}:$_zʱwz"#hi
l\kDŽe%XI{~w
endstream
endobj
29 0 obj
<<
/Filter [/FlateDecode]
/Length 7574
>>
stream
x=k7r
?f of'] dFF{#9g礪Hv]=kgz(.Փz߽U䏻W}w/xB_
]zꪅԕҶ:~{_~zsǭٜk^^mnnի04?عx>k'Wqi#An]Daw:ns+jojE[zKo4j`i-,cKL`қu9ot^_VIAdFgm{9> #1&?XwMxQ͝)8E'!C#>Xm
>ZUW
:ȟM;&
{OkW جk70lߞsifnb_:.ADmuQEU Xe[;kJk-P2ҏ~܊]KKp9F(