CHUQI-Miner: Mining Correlated Quantitative High Utility Itemsets
2021 International Conference on Data Mining Workshops (ICDMW)(2021)
摘要
To discover patterns of high importance in data, a popular data science task is high utility itemset mining (HUIM). It aims at discovering all sets of values that have a high utility (importance) in database records. A key application is to find products purchased together in online stores that yield a high profit (utility), as it can provide insights for marketing and product recommendation. But ...
更多查看译文
关键词
high utility itemsets,correlation,quantitative itemsets,bond measure
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要