Improving Purchase Behavior Prediction with Most Popular Items
نویسندگان
چکیده
منابع مشابه
Identifying Most Predictive Items
Frequent itemsets and association rules are generally accepted concepts in analyzing item-based databases. The Apriori-framework was developed for analyzing categorical data. However, many data include numerical values. Therefore, most existing techniques transform numerical values to categorical values. The transformation is done such that the rules are optimal with respect to support or confi...
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ژورنال
عنوان ژورنال: IEICE Transactions on Information and Systems
سال: 2017
ISSN: 0916-8532,1745-1361
DOI: 10.1587/transinf.2016edl8169