Results 151 to 160 of about 338,799 (197)

Mining of high‐utility itemsets with negative utility

Expert Systems, 2018
AbstractHigh‐utility itemset (HUI) mining is an important tasks during data mining. Recently, many algorithms have been proposed to discover HUIs. Most of the algorithms work only for itemsets with positive utility values. However, in the real world, items are found with both positive and negative utility values.
Kuldeep Singh, Harish Kumar Shakya, Abhimanyu Singh, Bhaskar Biswas   +3 more
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D2Cell data mining utility

Proceedings of the 2001 conference on APL: an arrays odyssey, 2000
D2Cell is a Data Mining utility for Windows based PCs, that downloads custom Mainframe DB2 data directly into Microsoft Excel. One may use the self-contained Wizard to automatically generate SQL for processing. One may also simply type in their own SQL statements, or cut and paste
openaire   +1 more source

Mining high average-utility itemsets

2009 IEEE International Conference on Systems, Man and Cybernetics, 2009
The average utility measure is adopted in this paper to reveal a better utility effect of combining several items than the original utility measure. A mining algorithm is then proposed to efficiently find the high average-utility itemsets. It uses the summation of the maximal utility among the items in each transaction including the target itemset as ...
Tzung-Pei Hong, Cho-Han Lee, Shyue-Liang Wang   +2 more
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Utility-Oriented String Mining

A string is often provided with numerical scores (utilities) which quantify the importance, interest, profit, or risk of the letters occurring at every position of the string. For example, every DNA fragment produced by modern sequencing machines comes with a confidence score per position.
Bernardini G., Chen H., Conte A., Grossi R., Guerrini V., Loukides G., Pisanti N., Pissis S. P.   +7 more
openaire   +4 more sources

Mining Discriminative High Utility Patterns

2016
Recently, many approaches for high utility pattern mining (HUPM) have been proposed, but most of them aim at mining high-utility patterns (HUPs) instead of frequent ones. The major drawback is that any combination of a low-utility item with a very high utility pattern is regarded as a HUP, even if this combination is infrequent and contains items that ...
Jerry Chun-Wei Lin, Wensheng Gan, Philippe Fournier-Viger, Tzung-Pei Hong   +3 more
openaire   +1 more source

Utilization of Coal Mine Water

Applied Mechanics and Materials, 2014
China is a big country of coal production, in the coal mining process, the great massive mine drainage has caused not only the waste of groundwater resource, but also environmental pollution. On the other hand, mining production and life supply water is very scarce.
Ai Jun Shao, Shi Wen Wang, Lin Lin Chai, Qiang Wang, Ying Liu, Song Yang   +5 more
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High Utility Association Rule Mining

2019
Most businesses focus on the profits. For example, supermarkets often analyze sale activities to investigate which products bring the most revenue, as well as find out customer trends based on their carts. To achieve this, a number of studies have examined high utility itemsets (HUIs).
Loan T. T. Nguyen, Thang Mai, Bay Vo
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Mining Local High Utility Itemsets

2018
High Utility Itemset Mining (HUIM) is the task of analyzing customer transactions to find the sets of items that yield a high utility (e.g. profit). A major limitation of traditional HUIM algorithms is that they do not consider that the utility of itemsets vary over time.
Philippe Fournier-Viger, Yimin Zhang, Jerry Chun-Wei Lin, Hamido Fujita, Yun Sing Koh   +4 more
openaire   +1 more source

Utility-Oriented Gradual Itemsets Mining Using High Utility Itemsets Mining

2023
Fongue, Audrey, Lonlac, Jerry, Tsopze, Norbert   +2 more
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Mining High Utility Subgraphs

2021 International Conference on Data Mining Workshops (ICDMW), 2021
Md. Tanvir Alam, Amit Roy, Chowdhury Farhan Ahmed, Md. Ashraful Islam, Carson K. Leung   +4 more
openaire   +1 more source