▁the ▁State ▁Environment al ▁Fund ▁of ▁the ▁Czech ▁Republic ▁for ▁infrastr ucture , ▁and ▁other ▁awards ▁for ▁the ▁graph ic ▁design ▁as ▁well ▁as ▁the ▁architect ural ▁and ▁technical ▁solution . ▁ ▁References ▁ ▁Category : 1 9 6 4 ▁birth s ▁Category : L iving ▁people ▁Category : Real ▁estate ▁and ▁property ▁developers ▁Category : Pe ople ▁from ▁Česk ý ▁K rum lov ▁Category : C zech ▁business people ▁Category : C zech oslov ak ▁commun ists <0x0A> </s> ▁Ap ri ori ▁is ▁an ▁algorithm ▁for ▁frequent ▁item ▁set ▁min ing ▁and ▁association ▁rule ▁learning ▁over ▁rel ational ▁databases . ▁It ▁proceed s ▁by ▁ident ifying ▁the ▁frequent ▁individual ▁items ▁in ▁the ▁database ▁and ▁extending ▁them ▁to ▁larger ▁and ▁larger ▁item ▁sets ▁as ▁long ▁as ▁those ▁item ▁sets ▁appear ▁sufficiently ▁often ▁in ▁the ▁database . ▁The ▁frequent ▁item ▁sets ▁determined ▁by ▁Ap ri ori ▁can ▁be ▁used ▁to ▁determine ▁association ▁rules ▁which ▁highlight ▁general ▁tr ends ▁in ▁the ▁database : ▁this ▁has ▁applications ▁in ▁domains ▁such ▁as ▁market ▁basket ▁analysis . ▁ ▁Over view ▁▁ ▁The ▁Ap ri ori ▁algorithm ▁was ▁proposed ▁by ▁Ag raw al ▁and ▁S rik ant ▁in ▁ 1 9 9 4 . ▁Ap ri ori ▁is ▁designed ▁to ▁operate ▁on ▁databases ▁containing ▁transactions ▁( for ▁example , ▁collections ▁of ▁items ▁bought ▁by ▁customers , ▁or ▁details ▁of ▁a ▁website ▁frequ entation ▁or ▁IP ▁addresses ). ▁Other ▁algorithms ▁are ▁designed ▁for ▁finding ▁association ▁rules ▁in ▁data ▁having ▁no ▁transactions ▁( W ine pi ▁and ▁Mine pi ), ▁or