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Discovery of Frequent Itemsets: Frequent Item Tree-Based Approach
Article info application/pdf eJournal
oleh Senthil Kumar, A. V.; 1Senior Lecturer, Department of MCA, CMS College of Science and Commerce Coimbatore – 641 006. Tamilnadu. India, D. Wahidabanu, R. S.; 2Head, Department of CSE, Govt. College of Engineering Salem, Tamilnadu, India.
Terbitan: ITB Journal Publisher, LPPM ITB, 2013
Institusi: Institut Teknologi Bandung
Gedung: Perpustakaan Institut Teknologi Bandung
Lokasi Repository IOS Number
KOTA BANDUNGJournal of ICT Research and ApplicationsIOS364.article-165
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Topik: frequent item tree
Sektor
1 Library University 1
Institusi
1 Institut Teknologi Bandung
Koleksi
1 Journal of ICT Research and Applications
Format
1 File Application/pdf 1 1 Journal Article 1 EJournal 1 1 Other Info 1 less ...
Topik
1 association rules 1 data mining frequent item tree 1 frequent items 1 header table 1 minimum support
Pengarang
1 D. Wahidabanu, R. S.; 2Head, Department of CSE, Govt. College of Engineering Salem, Tamilnadu, India 1 Senthil Kumar, A. V.; 1Senior Lecturer, Department of MCA, CMS College of Science and Commerce Coimbatore – 641 006. Tamilnadu. India
Bahasa
1 eng
Tahun
1 2013
Penerbit
1 ITB Journal Publisher, LPPM ITB

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