Incrementally mining usage correlations among appliances in smart homes

Yi Cheng Chen; Hsiu Chieh Hung; Bing Yang Chiang; Sheng Yuan Peng; Peng Jun Chen

doi:10.1109/NBiS.2015.43

Incrementally mining usage correlations among appliances in smart homes

Yi Cheng Chen, Hsiu Chieh Hung, Bing Yang Chiang, Sheng Yuan Peng, Peng Jun Chen

資訊管理學系

研究成果: 書貢獻/報告類型 › 會議論文篇章 › 同行評審

9 引文斯高帕斯（Scopus）

摘要

Recently, due to the great advent of sensor technology, residents can collect household appliance usage data easily. However, in general, usage data are generated progressively, visualizing how appliances are used from huge amount of data is challenging. Thus, an algorithm is needed to incrementally discover appliance usage patterns. Prior studies on usage pattern discovery are mainly focused on mining patterns while ignoring the incremental maintenance of mined results. In this paper, a novel method, Dynamic Correlation Miner (DCMiner), is developed to incrementally capture and maintain the usage correlations among appliances in a smart home environment. Furthermore, several optimization techniques are proposed to effectively reduce the search space. Experimental results indicate that the proposed method is efficient in execution time and possesses great scalability. Subsequent application of DCMiner on a real dataset also demonstrates its practicability.

原文	???core.languages.en_GB???
主出版物標題	Proceedings - 2015 18th International Conference on Network-Based Information Systems, NBiS 2015
編輯	Leonard Barolli, Makoto Takizawa, Fatos Xhafa, Hui-Huang Hsu, Tomoya Enokido
發行者	Institute of Electrical and Electronics Engineers Inc.
頁面	273-279
頁數	7
ISBN（電子）	9781479999422
DOIs	https://doi.org/10.1109/NBiS.2015.43
出版狀態	已出版 - 9 12月 2015
事件	18th International Conference on Network-Based Information Systems, NBiS 2015 - Taipei, Taiwan 持續時間: 2 9月 2015 → 4 9月 2015

出版系列

名字	Proceedings - 2015 18th International Conference on Network-Based Information Systems, NBiS 2015

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???	18th International Conference on Network-Based Information Systems, NBiS 2015
國家/地區	Taiwan
城市	Taipei
期間	2/09/15 → 4/09/15

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10.1109/NBiS.2015.43

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Chen, Y. C., Hung, H. C., Chiang, B. Y., Peng, S. Y., & Chen, P. J. (2015). Incrementally mining usage correlations among appliances in smart homes. 於 L. Barolli, M. Takizawa, F. Xhafa, H-H. Hsu, & T. Enokido (編輯), Proceedings - 2015 18th International Conference on Network-Based Information Systems, NBiS 2015 (頁 273-279). [7350632] (Proceedings - 2015 18th International Conference on Network-Based Information Systems, NBiS 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/NBiS.2015.43

Chen, Yi Cheng ; Hung, Hsiu Chieh ; Chiang, Bing Yang 等. / Incrementally mining usage correlations among appliances in smart homes. Proceedings - 2015 18th International Conference on Network-Based Information Systems, NBiS 2015. 編輯 / Leonard Barolli ; Makoto Takizawa ; Fatos Xhafa ; Hui-Huang Hsu ; Tomoya Enokido. Institute of Electrical and Electronics Engineers Inc., 2015. 頁 273-279 (Proceedings - 2015 18th International Conference on Network-Based Information Systems, NBiS 2015).

@inproceedings{1c29b58dad0e4ee4bce41594440b0cab,

title = "Incrementally mining usage correlations among appliances in smart homes",

abstract = "Recently, due to the great advent of sensor technology, residents can collect household appliance usage data easily. However, in general, usage data are generated progressively, visualizing how appliances are used from huge amount of data is challenging. Thus, an algorithm is needed to incrementally discover appliance usage patterns. Prior studies on usage pattern discovery are mainly focused on mining patterns while ignoring the incremental maintenance of mined results. In this paper, a novel method, Dynamic Correlation Miner (DCMiner), is developed to incrementally capture and maintain the usage correlations among appliances in a smart home environment. Furthermore, several optimization techniques are proposed to effectively reduce the search space. Experimental results indicate that the proposed method is efficient in execution time and possesses great scalability. Subsequent application of DCMiner on a real dataset also demonstrates its practicability.",

keywords = "Correlation pattern, Incremental mining, Sequential pattern, Smart home, Usage representation",

author = "Chen, {Yi Cheng} and Hung, {Hsiu Chieh} and Chiang, {Bing Yang} and Peng, {Sheng Yuan} and Chen, {Peng Jun}",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 18th International Conference on Network-Based Information Systems, NBiS 2015 ; Conference date: 02-09-2015 Through 04-09-2015",

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Chen, YC, Hung, HC, Chiang, BY, Peng, SY & Chen, PJ 2015, Incrementally mining usage correlations among appliances in smart homes. 於 L Barolli, M Takizawa, F Xhafa, H-H Hsu & T Enokido (編輯), Proceedings - 2015 18th International Conference on Network-Based Information Systems, NBiS 2015., 7350632, Proceedings - 2015 18th International Conference on Network-Based Information Systems, NBiS 2015, Institute of Electrical and Electronics Engineers Inc., 頁 273-279, 18th International Conference on Network-Based Information Systems, NBiS 2015, Taipei, Taiwan, 2/09/15. https://doi.org/10.1109/NBiS.2015.43

Incrementally mining usage correlations among appliances in smart homes. / Chen, Yi Cheng; Hung, Hsiu Chieh; Chiang, Bing Yang 等.
Proceedings - 2015 18th International Conference on Network-Based Information Systems, NBiS 2015. 編輯 / Leonard Barolli; Makoto Takizawa; Fatos Xhafa; Hui-Huang Hsu; Tomoya Enokido. Institute of Electrical and Electronics Engineers Inc., 2015. p. 273-279 7350632 (Proceedings - 2015 18th International Conference on Network-Based Information Systems, NBiS 2015).

研究成果: 書貢獻/報告類型 › 會議論文篇章 › 同行評審

TY - GEN

T1 - Incrementally mining usage correlations among appliances in smart homes

AU - Chen, Yi Cheng

AU - Hung, Hsiu Chieh

AU - Chiang, Bing Yang

AU - Peng, Sheng Yuan

AU - Chen, Peng Jun

PY - 2015/12/9

Y1 - 2015/12/9

N2 - Recently, due to the great advent of sensor technology, residents can collect household appliance usage data easily. However, in general, usage data are generated progressively, visualizing how appliances are used from huge amount of data is challenging. Thus, an algorithm is needed to incrementally discover appliance usage patterns. Prior studies on usage pattern discovery are mainly focused on mining patterns while ignoring the incremental maintenance of mined results. In this paper, a novel method, Dynamic Correlation Miner (DCMiner), is developed to incrementally capture and maintain the usage correlations among appliances in a smart home environment. Furthermore, several optimization techniques are proposed to effectively reduce the search space. Experimental results indicate that the proposed method is efficient in execution time and possesses great scalability. Subsequent application of DCMiner on a real dataset also demonstrates its practicability.

AB - Recently, due to the great advent of sensor technology, residents can collect household appliance usage data easily. However, in general, usage data are generated progressively, visualizing how appliances are used from huge amount of data is challenging. Thus, an algorithm is needed to incrementally discover appliance usage patterns. Prior studies on usage pattern discovery are mainly focused on mining patterns while ignoring the incremental maintenance of mined results. In this paper, a novel method, Dynamic Correlation Miner (DCMiner), is developed to incrementally capture and maintain the usage correlations among appliances in a smart home environment. Furthermore, several optimization techniques are proposed to effectively reduce the search space. Experimental results indicate that the proposed method is efficient in execution time and possesses great scalability. Subsequent application of DCMiner on a real dataset also demonstrates its practicability.

KW - Correlation pattern

KW - Incremental mining

KW - Sequential pattern

KW - Smart home

KW - Usage representation

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DO - 10.1109/NBiS.2015.43

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T3 - Proceedings - 2015 18th International Conference on Network-Based Information Systems, NBiS 2015

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EP - 279

BT - Proceedings - 2015 18th International Conference on Network-Based Information Systems, NBiS 2015

A2 - Barolli, Leonard

A2 - Takizawa, Makoto

A2 - Xhafa, Fatos

A2 - Hsu, Hui-Huang

A2 - Enokido, Tomoya

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 18th International Conference on Network-Based Information Systems, NBiS 2015

Y2 - 2 September 2015 through 4 September 2015

ER -

Chen YC, Hung HC, Chiang BY, Peng SY, Chen PJ. Incrementally mining usage correlations among appliances in smart homes. 於 Barolli L, Takizawa M, Xhafa F, Hsu H-H, Enokido T, 編輯, Proceedings - 2015 18th International Conference on Network-Based Information Systems, NBiS 2015. Institute of Electrical and Electronics Engineers Inc. 2015. p. 273-279. 7350632. (Proceedings - 2015 18th International Conference on Network-Based Information Systems, NBiS 2015). doi: 10.1109/NBiS.2015.43

Incrementally mining usage correlations among appliances in smart homes

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