Large-Scale Parallel Data Mining

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L e c tu re N o te s in C o m p u te r S c ie n c e E d ite d b y G . G o o s , J . H a rtm a n is a n d J . v a n L e e u w e n

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C R S u b je c t C la s s ifi c a tio n ( 1 9 9 1 ): I .2 .8 , I .2 .1 1 , I.2 .4 , I.2 .6 , H .3 , F .2 .2 , C .2 .4 IS B N 3 -5 4 0 -6 7 1 9 4 -3 S p rin g e r-V e rla g B e rlin H e id e lb e rg N e w Y o rk T h is w o rk is s u b je c c o n c e rn e d , s p e c ifi c a re p ro d u c tio n o n m ic o r p a rts th e re o f is p e in its c u rre n t v e rs io n lia b le fo r p ro s e c u tio

t to c o p y rig h t. A ll rig h ts a re re s e rv e d , w h e th e r th e w h o le o r p a rt o f th e m a te ria l is lly th e rig h ts o f tra n s la tio n , re p rin tin g , re -u s e o f illu s tra tio n s , re c ita tio n , b ro a d c a s tin g , ro fi lm s o r in a n y o th e r w a y , a n d s to ra g e in d a ta b a n k s . D u p lic a tio n o f th is p u b lic a tio n rm itte d o n ly u n d e r th e p ro v is io n s o f th e G e rm a n C o p y rig h t L a w o f S e p te m b e r 9 , 1 9 6 5 , , a n d p e r m is s io n f o r u s e m u s t a lw a y s b e o b ta in e d f r o m S p r in g e r- V e r la g . V io la tio n s a r e n u n d e r th e G e rm a n C o p y rig h t L a w .

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