Prediction of Drugstore Sales and Theiraction Planning: Study on Product Reduction Using Bayesian Network  

Oleh:

Ueki, Daichi ; Hideo, Suzuki

Jenis: Article from Proceeding
Dalam koleksi: Asian Network for Quality (ANQ) Congress 2011, Ho Chi Minh City, Vietnam, 27-30 September 2011, page 1-12.
Topik: Bayesian Network classifiers; POS Data with ID; Drugstore Industry; Probabilistic reasoning; Statistical learning
Fulltext: JP28_UekiDaichi_Fullpaper.pdf (125.6KB)

Isi artikel

We adopt Bayesian Network classif iers (BNc) to predict the product sales, which have been recently introduced in the artificial intelligence literature. Recently, the drugstore industry sales remain restrained, and some measures are needed immediately. According to the consideration, the measures are decreasing items and creating the “standard” for removing the items. We use a BNc because a BNc is white-box model, classifies in relatively high probability, and a sensitivity analysis is effective for action planning.

Opini Anda

Klik untuk menuliskan opini Anda tentang koleksi ini!

Kembali