A New Pruning Method for Associative Classification using Simulated Annealing Technique

被引：0

作者：

Najeeb, Moath M. ^{[1
]}

Alzoubi, Bilal R. ^{[1
]}

Al-Zghoul, Musab B. ^{[1
]}

Al-Qahtani, Abdullah S. ^{[1
]}

机构：

[1] Umm Al Qura Univ, Mecca, Saudi Arabia

来源：

INNOVATION VISION 2020: SUSTAINABLE GROWTH, ENTREPRENEURSHIP, AND ECONOMIC DEVELOPMENT, VOLS 1-4 | 2012年

关键词：

Associative Classification; Pruning Methods; Simulated Annealing;

D O I：

暂无

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

Associative Classification (AC) algorithms normally produce large number of rules during "Rule Generation" step, so many of these algorithms use various pruning methods to eliminate the redundant or misleading rules, and consequently the size of the classifier will be reduced and the classification accuracy will be enhanced. In this paper we propose a new pruning method, namely PSA (Pruning based on Simulated Annealing), the new method tested against 7 data sets from UCI Machine Learning Repository, and the experimental results show that PSA method enhances the accuracy of the classifier.

引用

页码：2021 / 2029

页数：9

共 50 条

[41] Timber harvest planning with spatial objectives, using the method of simulated annealing
Chen, BW
Von Gadow, K
FORSTWISSENSCHAFTLICHES CENTRALBLATT, 2002, 121 (01): : 25 - 34
[42] Heuristic optimization in classification atoms in molecules using GCN via uniform simulated annealing
Agnieszka Polowczyk
Alicja Polowczyk
Marcin Woźniak
Scientific Reports, 15 (1)
[43] A Self Controlled Simulated Annealing Algorithm using Hidden Markov Model State Classification
El Afia, Abdellatif
Lalaoui, Mohamed
Chiheb, Raddouane
SECOND INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTING IN DATA SCIENCES (ICDS2018), 2019, 148 : 512 - 521
[44] A Review of MF-ARTMAP Toward an Improvement Classification Accuracy using Simulated Annealing
Ondo, Jaroslav
Sabol, Patrik
Sincak, Peter
Hartono, Pitoyo
2016 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC), 2016, : 2038 - 2043
[45] Design optimization of laminated composites using a new variant of simulated annealing
Akbulut, Mustafa
Sonmez, Fazil O.
COMPUTERS & STRUCTURES, 2011, 89 (17-18) : 1712 - 1724
[46] LOCATION AREA PLANNING USING SIMULATED ANNEALING WITH A NEW SOLUTION REPRESENTATION
Kim, Ki-Dong
Kim, Sung Soo
Byeon, Eui-Seok
Kim, Il-Hwan
Mani, V.
Moon, Jae-Ki
Jang, Si-Hwan
INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL, 2012, 8 (3A): : 1635 - 1644
[47] GARC: A new associative classification approach
Bouzouita, I.
Elloumi, S.
Ben Yahia, S.
DATA WAREHOUSING AND KNOWLEDGE DISCOVERY, PROCEEDINGS, 2006, 4081 : 554 - 565
[48] Associative classification with a new condenseness measure
Wu, Chih-Hung
Wang, Jing-Yi
JOURNAL OF THE CHINESE INSTITUTE OF ENGINEERS, 2015, 38 (04) : 458 - 468
[49] A new multiobjective simulated annealing algorithm
Ozan Tekinalp
Gizem Karsli
Journal of Global Optimization, 2007, 39 : 49 - 77
[50] Improved echo hiding using power cepstrum and simulated annealing based synchronization technique
Yan, B
Sun, SH
Lu, ZM
2003 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-5, PROCEEDINGS, 2003, : 2142 - 2147

← 1 2 3 4 5 →