Classification Based on Pruning and Double Covered Rule Sets for the Internet of Things Applications
The Internet of things (IOT) is a hot issue in recent years. It accumulates large amounts of data by IOT users, which is a great challenge to mining useful knowledge from IOT. Classification is an effective strategy which can predict the need of users in IOT. However, many traditional rule-based cla...
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| Format: | Article |
| Language: | English |
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Wiley
2014-01-01
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| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1155/2014/984375 |
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| _version_ | 1832565605410013184 |
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| author | Shasha Li Zhongmei Zhou Weiping Wang |
| author_facet | Shasha Li Zhongmei Zhou Weiping Wang |
| author_sort | Shasha Li |
| collection | DOAJ |
| description | The Internet of things (IOT) is a hot issue in recent years. It accumulates large amounts of data by IOT users, which is a great challenge to mining useful knowledge from IOT. Classification is an effective strategy which can predict the need of users in IOT. However, many traditional rule-based classifiers cannot guarantee that all instances can be covered by at least two classification rules. Thus, these algorithms cannot achieve high accuracy in some datasets. In this paper, we propose a new rule-based classification, CDCR-P (Classification based on the Pruning and Double Covered Rule sets). CDCR-P can induce two different rule sets A and B. Every instance in training set can be covered by at least one rule not only in rule set A, but also in rule set B. In order to improve the quality of rule set B, we take measure to prune the length of rules in rule set B. Our experimental results indicate that, CDCR-P not only is feasible, but also it can achieve high accuracy. |
| format | Article |
| id | doaj-art-bedc54c17cdc41e69a1d72277424c9db |
| institution | Kabale University |
| issn | 2356-6140 1537-744X |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Scientific World Journal |
| spelling | doaj-art-bedc54c17cdc41e69a1d72277424c9db2025-02-03T01:07:09ZengWileyThe Scientific World Journal2356-61401537-744X2014-01-01201410.1155/2014/984375984375Classification Based on Pruning and Double Covered Rule Sets for the Internet of Things ApplicationsShasha Li0Zhongmei Zhou1Weiping Wang2Department of Computer Science and Engineering, Minnan Normal University, Zhangzhou 363000, ChinaDepartment of Computer Science and Engineering, Minnan Normal University, Zhangzhou 363000, ChinaDepartment of Computer Science and Engineering, Minnan Normal University, Zhangzhou 363000, ChinaThe Internet of things (IOT) is a hot issue in recent years. It accumulates large amounts of data by IOT users, which is a great challenge to mining useful knowledge from IOT. Classification is an effective strategy which can predict the need of users in IOT. However, many traditional rule-based classifiers cannot guarantee that all instances can be covered by at least two classification rules. Thus, these algorithms cannot achieve high accuracy in some datasets. In this paper, we propose a new rule-based classification, CDCR-P (Classification based on the Pruning and Double Covered Rule sets). CDCR-P can induce two different rule sets A and B. Every instance in training set can be covered by at least one rule not only in rule set A, but also in rule set B. In order to improve the quality of rule set B, we take measure to prune the length of rules in rule set B. Our experimental results indicate that, CDCR-P not only is feasible, but also it can achieve high accuracy.http://dx.doi.org/10.1155/2014/984375 |
| spellingShingle | Shasha Li Zhongmei Zhou Weiping Wang Classification Based on Pruning and Double Covered Rule Sets for the Internet of Things Applications The Scientific World Journal |
| title | Classification Based on Pruning and Double Covered Rule Sets for the Internet of Things Applications |
| title_full | Classification Based on Pruning and Double Covered Rule Sets for the Internet of Things Applications |
| title_fullStr | Classification Based on Pruning and Double Covered Rule Sets for the Internet of Things Applications |
| title_full_unstemmed | Classification Based on Pruning and Double Covered Rule Sets for the Internet of Things Applications |
| title_short | Classification Based on Pruning and Double Covered Rule Sets for the Internet of Things Applications |
| title_sort | classification based on pruning and double covered rule sets for the internet of things applications |
| url | http://dx.doi.org/10.1155/2014/984375 |
| work_keys_str_mv | AT shashali classificationbasedonpruninganddoublecoveredrulesetsfortheinternetofthingsapplications AT zhongmeizhou classificationbasedonpruninganddoublecoveredrulesetsfortheinternetofthingsapplications AT weipingwang classificationbasedonpruninganddoublecoveredrulesetsfortheinternetofthingsapplications |