HYBRID: an efficient unifying process to mine frequent itemsets
Current advancement in technology inexorably leads to data flood. More data is generated from banking, telecom, scientific experiments, etc. Data mining is the process of extracting useful information from this flooded data, which helps in making profitable future decisions in these fields. Frequent...
| Main Authors: | , |
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| Format: | Proceeding Paper |
| Language: | English English |
| Published: |
IEEE
2018
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| Online Access: | http://irep.iium.edu.my/65091/ http://irep.iium.edu.my/65091/1/65091_HYBRID-%20An%20Efficient%20Unifying%20Process.pdf http://irep.iium.edu.my/65091/7/65091_HYBRID_scopus.pdf |
| _version_ | 1848786328218501120 |
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| author | Zulkurnain, Nurul Fariza Shah, Ahmad |
| author_facet | Zulkurnain, Nurul Fariza Shah, Ahmad |
| author_sort | Zulkurnain, Nurul Fariza |
| building | IIUM Repository |
| collection | Online Access |
| description | Current advancement in technology inexorably leads to data flood. More data is generated from banking, telecom, scientific experiments, etc. Data mining is the process of extracting useful information from this flooded data, which helps in making profitable future decisions in these fields. Frequent itemset mining is one of the focus research areas and an important step to fin association rules. Time and space requirements for generating frequent itemsets are of utter importance. Algorithms to mine frequent itemsets effectively help in finding association rules and also help in many other data mining tasks. In this paper, an efficient hybrid algorithm was designed using a unifying process of the algorithms Improved Apriori and FP-Growth. Results indicate that the proposed hybrid algorithm, albeit more complex, consumes fewer memory resources and faster execution time. |
| first_indexed | 2025-11-14T17:07:17Z |
| format | Proceeding Paper |
| id | iium-65091 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-14T17:07:17Z |
| publishDate | 2018 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | iium-650912018-09-16T16:46:45Z http://irep.iium.edu.my/65091/ HYBRID: an efficient unifying process to mine frequent itemsets Zulkurnain, Nurul Fariza Shah, Ahmad TK7885 Computer engineering Current advancement in technology inexorably leads to data flood. More data is generated from banking, telecom, scientific experiments, etc. Data mining is the process of extracting useful information from this flooded data, which helps in making profitable future decisions in these fields. Frequent itemset mining is one of the focus research areas and an important step to fin association rules. Time and space requirements for generating frequent itemsets are of utter importance. Algorithms to mine frequent itemsets effectively help in finding association rules and also help in many other data mining tasks. In this paper, an efficient hybrid algorithm was designed using a unifying process of the algorithms Improved Apriori and FP-Growth. Results indicate that the proposed hybrid algorithm, albeit more complex, consumes fewer memory resources and faster execution time. IEEE 2018-03-26 Proceeding Paper PeerReviewed application/pdf en http://irep.iium.edu.my/65091/1/65091_HYBRID-%20An%20Efficient%20Unifying%20Process.pdf application/pdf en http://irep.iium.edu.my/65091/7/65091_HYBRID_scopus.pdf Zulkurnain, Nurul Fariza and Shah, Ahmad (2018) HYBRID: an efficient unifying process to mine frequent itemsets. In: 2017 IEEE 3rd International Conference on Engineering Technologies and Social Sciences (ICETSS), 7th-8th August 2017, Bangkok, Thailand. https://ieeexplore.ieee.org/document/8324140/ 10.1109/ICETSS.2017.8324140 |
| spellingShingle | TK7885 Computer engineering Zulkurnain, Nurul Fariza Shah, Ahmad HYBRID: an efficient unifying process to mine frequent itemsets |
| title | HYBRID: an efficient unifying process to mine frequent itemsets |
| title_full | HYBRID: an efficient unifying process to mine frequent itemsets |
| title_fullStr | HYBRID: an efficient unifying process to mine frequent itemsets |
| title_full_unstemmed | HYBRID: an efficient unifying process to mine frequent itemsets |
| title_short | HYBRID: an efficient unifying process to mine frequent itemsets |
| title_sort | hybrid: an efficient unifying process to mine frequent itemsets |
| topic | TK7885 Computer engineering |
| url | http://irep.iium.edu.my/65091/ http://irep.iium.edu.my/65091/ http://irep.iium.edu.my/65091/ http://irep.iium.edu.my/65091/1/65091_HYBRID-%20An%20Efficient%20Unifying%20Process.pdf http://irep.iium.edu.my/65091/7/65091_HYBRID_scopus.pdf |