A new method for mining maximal frequent itemsets

In this paper, we propose a new method for mining maximal frequent itemsets. Our method introduces an efficient database encoding technique, a novel tree structure called PC_Tree and also PC_Miner algorithm. The database encoding technique utilizes Prime number characteristics and transforms each tr...

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Main Authors: Nadimi-Shahraki, Mohammad-Hossein, Mustapha, Norwati, Sulaiman, Md. Nasir, Mamat, Ali
Format: Conference or Workshop Item
Language:English
Published: IEEE 2008
Online Access:http://psasir.upm.edu.my/id/eprint/68672/
http://psasir.upm.edu.my/id/eprint/68672/1/A%20new%20method%20for%20mining%20maximal%20frequent%20itemsets.pdf
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author Nadimi-Shahraki, Mohammad-Hossein
Mustapha, Norwati
Sulaiman, Md. Nasir
Mamat, Ali
author_facet Nadimi-Shahraki, Mohammad-Hossein
Mustapha, Norwati
Sulaiman, Md. Nasir
Mamat, Ali
author_sort Nadimi-Shahraki, Mohammad-Hossein
building UPM Institutional Repository
collection Online Access
description In this paper, we propose a new method for mining maximal frequent itemsets. Our method introduces an efficient database encoding technique, a novel tree structure called PC_Tree and also PC_Miner algorithm. The database encoding technique utilizes Prime number characteristics and transforms each transaction into a positive integer that has all properties of its items. The PC_Tree is a simple tree structure but yet powerful to capture whole of transactions by one database scan. The PC_Miner algorithm traverses the PC_Tree and builds the gcd (greatest common divisor) set of its nodes to mine maximal frequent itemsets. Experiments verify the efficiency and advantages of the proposed method.
first_indexed 2025-11-15T11:37:46Z
format Conference or Workshop Item
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institution Universiti Putra Malaysia
institution_category Local University
language English
last_indexed 2025-11-15T11:37:46Z
publishDate 2008
publisher IEEE
recordtype eprints
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spelling upm-686722019-06-10T02:45:50Z http://psasir.upm.edu.my/id/eprint/68672/ A new method for mining maximal frequent itemsets Nadimi-Shahraki, Mohammad-Hossein Mustapha, Norwati Sulaiman, Md. Nasir Mamat, Ali In this paper, we propose a new method for mining maximal frequent itemsets. Our method introduces an efficient database encoding technique, a novel tree structure called PC_Tree and also PC_Miner algorithm. The database encoding technique utilizes Prime number characteristics and transforms each transaction into a positive integer that has all properties of its items. The PC_Tree is a simple tree structure but yet powerful to capture whole of transactions by one database scan. The PC_Miner algorithm traverses the PC_Tree and builds the gcd (greatest common divisor) set of its nodes to mine maximal frequent itemsets. Experiments verify the efficiency and advantages of the proposed method. IEEE 2008 Conference or Workshop Item PeerReviewed text en http://psasir.upm.edu.my/id/eprint/68672/1/A%20new%20method%20for%20mining%20maximal%20frequent%20itemsets.pdf Nadimi-Shahraki, Mohammad-Hossein and Mustapha, Norwati and Sulaiman, Md. Nasir and Mamat, Ali (2008) A new method for mining maximal frequent itemsets. In: 3rd International Symposium on Information Technology (ITSim'08), 26-28 Aug. 2008, Kuala Lumpur, Malaysia. . 10.1109/ITSIM.2008.4631691
spellingShingle Nadimi-Shahraki, Mohammad-Hossein
Mustapha, Norwati
Sulaiman, Md. Nasir
Mamat, Ali
A new method for mining maximal frequent itemsets
title A new method for mining maximal frequent itemsets
title_full A new method for mining maximal frequent itemsets
title_fullStr A new method for mining maximal frequent itemsets
title_full_unstemmed A new method for mining maximal frequent itemsets
title_short A new method for mining maximal frequent itemsets
title_sort new method for mining maximal frequent itemsets
url http://psasir.upm.edu.my/id/eprint/68672/
http://psasir.upm.edu.my/id/eprint/68672/
http://psasir.upm.edu.my/id/eprint/68672/1/A%20new%20method%20for%20mining%20maximal%20frequent%20itemsets.pdf