Novel algorithms and approaches for frequent pattern trees using supervised learning process

Files

01_title.pdf (64.96 KB)

02_declaration.pdf (61.77 KB)

03_certificate.pdf (67.6 KB)

04_dedication.pdf (37.18 KB)

05_acknowledgement.pdf (17.12 KB)

Abstract

Abstract available

URI

http://hdl.handle.net/10603/70898

Collections

Department of Computer Science & Engineering