パターンマイニング技術を用いた特徴的食材構造の抽出に関する基礎検討

抄録

Because of the recent increase in health consciousness and a rapid growth of user generated recipe data in social networking services, recipe mining, i.e. data mining in recipe databases, has been paid a wide attention as one of attractive research fields. In this paper, as a first step towards comprehensive and interpretable knowledge discovery from recipe databases, we investigate the applicability of the techniques in association rule mining to the recipe domain. We attempt to find interesting patterns which represent important structures among ingredients and characteristic words based on advanced association rules.