Application of Data Mining Techniques in IoT: A Short Review

Authors(3) :-Akshat Savaliya, Aakash Bhatia, Jitendra Bhatia

Internet of Things (IoT) has been growing rapidly due to recent advancements in communications and sensor technologies. Interfacing an every object together through internet looks very difficult, but within a frame of time Internet of Things will drastically change our life. The enormous data captured by the Internet of Things (IoT) are considered of high business as well as social values and extracting hidden information from raw data, various data mining algorithm can be applied to IoT data. In this paper, We survey systematic review of various data mining models as well as its application in Internet of Thing (IoT) field along with its merits and demerits. At last, we discussed challenges in IoT.

Authors and Affiliations

Akshat Savaliya
Computer Department, LD college of Engineering, Ahmedabad, Gujarat, India
Aakash Bhatia
Computer Department, DA-IICT, Gandhinagar, Gujarat, India
Jitendra Bhatia
Computer Department, Vishwakarma Government Engineering College, Ahmedabad, Gujarat, India

Internet of Things, Data Mining, Machine Learning, Application of Data Mining

    1. Shen Bin, Liu Yuan, and Wang Xiaoyi. Research on data mining models for the internet of things. In Image Analysis and Signal Processing (IASP), 2010 International Conference on, pages 127–132. IEEE, 2010.
    2. Olaiya Folorunsho and Adesesan Adeyemo. Application of data mining techniques in weather prediction and climate change studies. 4, 02 2012.
    3. Jeu Young Kim, Hark-Jin Lee, Ji-Yeon Son, and Jun-Hee Park. Smart home web of objects-based iot management model and methods for home data mining. In Network Operations and Management Symposium (APNOMS), 2015 17th Asia-Pacific, pages 327–331. IEEE, 2015.
    4. Saral Nigam, Shikha Asthana, and Punit Gupta. Iot based intelligent billboard using data mining. In Innovation and Challenges in Cyber Security (ICICCS-INBUSH), 2016 International Conference on, pages 107–110. IEEE, 2016.
    5. Alexander Muriuki Njeru, Mwana Said Omar, Sun Yi, Samiullah Paracha, and Muhammad Wannous. Using iot technology to improve online education through data mining. In Applied System Innovation (ICASI), 2017 International Conference on, pages 515–518. IEEE, 2017.
    6. Sebastian Scholze Claudio Cenedese Oliviu Matei, Carmen Anton. Multi-layered data mining architecture in the context of internet of things. In IEEE. IEEE, 2017.
    7. Rob Petersen. 20 companies do data mining and make their business better. 2016.
    8. Brijesh Iyer Prachi Deshpande. Research directions in the internet of every things(ioet). In International Conference on Computing, Communication and Automation (ICCCA2017), pages 1353–1357. IEEE, 2017.
    9. Vangipuram Radhakrishna, Puligadda Veereswara Kumar, Vinjamuri Janaki, and Shadi Aljawarneh. A computationally efficient approach for temporal pattern mining in iot. In Engineering & MIS ( ICEMIS), International Conference on, pages 1–4. IEEE, 2016.
    10. Aashi Singh and Shilpi Sharma. Analysis on data mining models for internet of things. In I-SMAC (IoT in Social, Mobile, Analytics and Cloud)(I-SMAC), 2017 International Conference on, pages 94–100. IEEE, 2017.
    11. Xin Song, Cuirong Wang, and Jing Gao. An integrated framework for analysis and mining of the massive sensor data using feature preserving strategy on cloud computing. In Computational Intelligence and Design (ISCID), 2014 Seventh International Symposium on, volume 2, pages 337–340. IEEE, 2014.
    12. Fatima Merchant Suhem Parack, Zain Zahid. Application of data mining in educational databases for predicting academic trends and patterns. Technology Enhanced Education (ICTEE), 2012 IEEE International Conference, 2012.
    13. Chun-Wei Tsai, Chin-Feng Lai, Ming-Chao Chiang, Laurence T Yang, et al. Data mining for internet of things: A survey. IEEE Communications Surveys and Tutorials, 16(1):77–97, 2014.
    14. Dr. Shalini Bhaskar Bajaj Tushar Taneja, Aman Jatain. Predictive analytics on iot. In IEEE, pages 1312–1317. IEEE, 2009.
    15. Qiulan Wu, Yong Liang, Ying Li, and Yusheng Liang. Research on intelligent acquisition of smart agricultural big data. In Geoinformatics, 2017 25th International Conference on, pages 1–7. IEEE, 2017.
    16. Hai xiang Zhao and Fred´ eric´ Magoules.` A review on the prediction of building energy consumption. Renewable and Sustainable Energy Reviews, 16(6):3586 – 3592, 2012.

Publication Details

Published in : Volume 4 | Issue 2 | January-February 2018
Date of Publication : 2018-01-20
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 218-223
Manuscript Number : IJSRSET184236
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

Akshat Savaliya, Aakash Bhatia, Jitendra Bhatia, " Application of Data Mining Techniques in IoT: A Short Review, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 4, Issue 2, pp.218-223, January-February-2018.
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