CC-IFIM: an efficient approach for incremental frequent itemset mining based on closed candidates
CC BY
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| Định dạng: | Sách |
| Ngôn ngữ: | English |
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Springer
2023
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| Truy cập trực tuyến: | https://link.springer.com/article/10.1007/s11227-022-04976-5 https://dlib.phenikaa-uni.edu.vn/handle/PNK/7327 |
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oai:localhost:PNK-73272023-03-30T04:02:23Z CC-IFIM: an efficient approach for incremental frequent itemset mining based on closed candidates Maged, Magdy Fayed F. M., Ghaleb Dawlat A. El A., Mohamed FIM via incremental frequent itemset mining CC BY Frequent itemset mining (FIM) is the crucial task in mining association rules that finds all frequent k-itemsets in the transaction dataset from which all association rules are extracted. In the big-data era, the datasets are huge and rapidly expanding, so adding new transactions as time advances results in periodic changes in correlations and frequent itemsets present in the dataset. Re-mining the updated dataset is impractical and costly. This problem is solved via incremental frequent itemset mining. 2023-03-30T04:02:23Z 2023-03-30T04:02:23Z 2023 Book https://link.springer.com/article/10.1007/s11227-022-04976-5 https://dlib.phenikaa-uni.edu.vn/handle/PNK/7327 en application/pdf Springer |
| institution |
Digital Phenikaa |
| collection |
Digital Phenikaa |
| language |
English |
| topic |
FIM via incremental frequent itemset mining |
| spellingShingle |
FIM via incremental frequent itemset mining Maged, Magdy Fayed F. M., Ghaleb Dawlat A. El A., Mohamed CC-IFIM: an efficient approach for incremental frequent itemset mining based on closed candidates |
| description |
CC BY |
| format |
Book |
| author |
Maged, Magdy Fayed F. M., Ghaleb Dawlat A. El A., Mohamed |
| author_facet |
Maged, Magdy Fayed F. M., Ghaleb Dawlat A. El A., Mohamed |
| author_sort |
Maged, Magdy |
| title |
CC-IFIM: an efficient approach for incremental frequent itemset mining based on closed candidates |
| title_short |
CC-IFIM: an efficient approach for incremental frequent itemset mining based on closed candidates |
| title_full |
CC-IFIM: an efficient approach for incremental frequent itemset mining based on closed candidates |
| title_fullStr |
CC-IFIM: an efficient approach for incremental frequent itemset mining based on closed candidates |
| title_full_unstemmed |
CC-IFIM: an efficient approach for incremental frequent itemset mining based on closed candidates |
| title_sort |
cc-ifim: an efficient approach for incremental frequent itemset mining based on closed candidates |
| publisher |
Springer |
| publishDate |
2023 |
| url |
https://link.springer.com/article/10.1007/s11227-022-04976-5 https://dlib.phenikaa-uni.edu.vn/handle/PNK/7327 |
| _version_ |
1761821913522372608 |
| score |
8.891145 |