Rule-Based Neural Networks Pada Data Mining Untuk Market Basket Analysis  

Oleh:

Irawan, Mohammad Isa ; Astuti, Yuliani Puji

Jenis: Article from Journal - ilmiah nasional - tidak terakreditasi DIKTI
Dalam koleksi: Gematika: Jurnal Manajemen Informatika vol. 7 no. 1 (Dec. 2005), page 31-38.
Topik: MARKETS; data mining; association rule; RBNN; market basket analysis

Ketersediaan

Perpustakaan Pusat (Semanggi) Nomor Panggil: GG4.1 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

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Isi artikel

Data Mining, specially in market basket analysis, can assist to know the related pattern of products bought by consumers in the form of association rules. This thesis use rule - based neural networks ( RBNN) as method to get the association rules coming near calculation of confidence and can overcome the very big data calculation. From RBNN, we can get best generation rule so that applicable to Market Basket Analysis. Finally we will get related products which are often bought together by consumer as rule owning high belief level.

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