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- W4313444833 abstract "High-utility itemset mining (HUIM) extracts novel, non-trivial itemsets by incorporating the revenue generated by the purchased items from voluminous customer transaction databases. Although, most of the tree-based algorithms in the literature are two-phased, recently a single-phase algorithm called single-phase utility computation (SPUC) has been proposed. However, such conventional algorithms mine only a subset of HUIs when certain items bear negative profit values in the database. In this study, negSPUC algorithm has been proposed where the two compact tree structures—Utility Count Tree and String Utility Tree—are restructured to handle items bearing negative profits. negSPUC with path-based and overestimated utility pruning strategies can mine a complete set of HUIs when transaction database contains both positive and/or negative profit values. Further, experimental evaluation on synthetic and real data sets demonstrates the efficiency of negSPUC over HUINIV-Mine algorithm." @default.
- W4313444833 created "2023-01-06" @default.
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- W4313444833 date "2023-01-01" @default.
- W4313444833 modified "2023-09-23" @default.
- W4313444833 title "negSPUC: Trees-Based Single-Phase High-Utility Itemset Mining Algorithm with Negative Profit Values" @default.
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- W4313444833 doi "https://doi.org/10.1007/978-981-19-5868-7_55" @default.
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