T h e s e r i e s c o n t a i n s m o n o g r a p h s, l e c t u r e n o t e s a n d e d i t e d v ol u m e s i n B i g D a t a s p a n n i n g t h e a r e a s o f co mp ut at io na l in te ll ig en ce in cl ud in g ne ur al ne tw or ks, e vo lu ti on ar y co mp ut at io n, so ft co mp ut in g, fu zz y sy st em s, as we ll as ar ti fic ia l in te ll ig en ce, da ta mi ni ng, mo de rn st at is ti cs an d Op er at io ns re se ar ch, as we ll as se lf -or ga ni zi ng sy st em s. The book s of the ser ies ref er to the ana lys is and und ers tan din g of lar ge, com ple x, and /or dis tri but ed da ta se ts ge ne ra te d fr om re ce nt di gi ta l so ur ce s co mi ng fr om se ns or s or ot he r ph ys ic al in st ru me nt s as we ll as si mu la ti on s, cr ow d so ur ci ng, so ci al ne tw ork s or ot he r in te rn et t r a n s a c t i o n s, s u c h a s e m a i l s o r v i d e o c l i c k s t r e a m s a n d o t h e r. ![]() Th e in te nt is to co ve r th e the ory, res ear ch, de ve lop men t, and app lic ati ons of Big Dat a, as em bed ded in the fiel ds of eng ine eri ng, com put er sci enc e, phy sic s, eco nom ic s and lif e sci enc es. Th e se ri es “S tu di es in Bi g Da ta ” (S BD ) pub li sh es ne w de ve lo pm en ts an d ad va nc es in th e va ri ou s ar ea s of Bi g Da ta - qu ic kl y an d wi th a hi gh qu al it y.
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