DISCOVERING CONFUSING FREQUENT ITEMSETS
Frequent itemset mining is one of the most important research areas in the field of association rule mining. Exploiting frequent itemsets at different abstraction levels of data will yield valuable knowledge. However, some Confusing Frequent Itemsets (CFIs) could be included in the mined set. These...
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| Format: | Article |
| Language: | English |
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Dalat University
2018-07-01
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| Series: | Tạp chí Khoa học Đại học Đà Lạt |
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| Online Access: | http://tckh.dlu.edu.vn/index.php/tckhdhdl/article/view/440 |
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| author | Huỳnh Thành Lộc |
| author_facet | Huỳnh Thành Lộc |
| author_sort | Huỳnh Thành Lộc |
| collection | DOAJ |
| description | Frequent itemset mining is one of the most important research areas in the field of association rule mining. Exploiting frequent itemsets at different abstraction levels of data will yield valuable knowledge. However, some Confusing Frequent Itemsets (CFIs) could be included in the mined set. These CFIs represent contrasting knowledge with their low-level descendants. Experts need to analyze CFIs from traditional frequent itemsets to make more accurate recommendations. In this paper, we presented a definition of a CFI, CFI’s interestingness measure and how to apply existing frequent itemset mining techniques to discover CFIs from data by exploiting a taxonomy. |
| format | Article |
| id | doaj-art-0b28558f7efb423db32e48158646adc2 |
| institution | Kabale University |
| issn | 0866-787X 0866-787X |
| language | English |
| publishDate | 2018-07-01 |
| publisher | Dalat University |
| record_format | Article |
| series | Tạp chí Khoa học Đại học Đà Lạt |
| spelling | doaj-art-0b28558f7efb423db32e48158646adc22025-02-02T05:22:22ZengDalat UniversityTạp chí Khoa học Đại học Đà Lạt0866-787X0866-787X2018-07-018212413810.37569/DalatUniversity.8.2.440(2018)247DISCOVERING CONFUSING FREQUENT ITEMSETSHuỳnh Thành Lộc0Khoa Công nghệ Thông tin, Trường Đại học Ngoại ngữ - Tin học Thành phố Hồ Chí MinhFrequent itemset mining is one of the most important research areas in the field of association rule mining. Exploiting frequent itemsets at different abstraction levels of data will yield valuable knowledge. However, some Confusing Frequent Itemsets (CFIs) could be included in the mined set. These CFIs represent contrasting knowledge with their low-level descendants. Experts need to analyze CFIs from traditional frequent itemsets to make more accurate recommendations. In this paper, we presented a definition of a CFI, CFI’s interestingness measure and how to apply existing frequent itemset mining techniques to discover CFIs from data by exploiting a taxonomy.http://tckh.dlu.edu.vn/index.php/tckhdhdl/article/view/440cây phân loạikhai thác dữ liệusự tương quantập phổ biến. |
| spellingShingle | Huỳnh Thành Lộc DISCOVERING CONFUSING FREQUENT ITEMSETS Tạp chí Khoa học Đại học Đà Lạt cây phân loại khai thác dữ liệu sự tương quan tập phổ biến. |
| title | DISCOVERING CONFUSING FREQUENT ITEMSETS |
| title_full | DISCOVERING CONFUSING FREQUENT ITEMSETS |
| title_fullStr | DISCOVERING CONFUSING FREQUENT ITEMSETS |
| title_full_unstemmed | DISCOVERING CONFUSING FREQUENT ITEMSETS |
| title_short | DISCOVERING CONFUSING FREQUENT ITEMSETS |
| title_sort | discovering confusing frequent itemsets |
| topic | cây phân loại khai thác dữ liệu sự tương quan tập phổ biến. |
| url | http://tckh.dlu.edu.vn/index.php/tckhdhdl/article/view/440 |
| work_keys_str_mv | AT huynhthanhloc discoveringconfusingfrequentitemsets |