지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- Korean Institute of Information Scientists and Engineers Journal of Computing Science and Engineering Journal of Computing Science and Engineering Vol.16 No.2
- 발행연도
- 2022.6
- 수록면
- 88 - 96 (9page)
- DOI
- 10.5626/JCSE.2022.16.2.88
이용수
초록· 키워드
오류제보하기
The current data mining technology cannot attain the database of voice retrieval, and the data mining process has a high risk of interference. Therefore, the application of speech recognition interaction and Internet of Things (IoT) technology in data mining has been investigated. Using a speech recognition engine to recognize a user’s intention, a database retrieval model based on speech recognition interaction has been constructed. To enhance the security of data mining, the IoT data were classified by differential privacy clustering, and the false data features of IoT were detected efficiently. Finally, data mining was completed by combining data fusion and a Bayesian classifier. Experimental results demonstrated that the accuracy of the proposed method is over 90%, the time of data fusion is shorter, the time of data mining is shorter, the precision is higher, and the false alarm rate is lower than 5%.
목차
Abstract
I. INTRODUCTION
II. APPLICATION OF VOICE RECOGNITION INTERACTION AND IOT TECHNOLOGY IN THE PROCESS OF DATA MINING
III. EXPERIMENTAL DESIGN AND RESULT ANALYSIS
IV. CONCLUSION
REFERENCES
참고문헌 (15)
참고문헌 신청
S. Marcos-Pablos and F. J. Garcia-Penalvo, “Information retrieval methodology for aiding scientific database search,” Soft Computing, vol. 24, no. 8, pp. 5551-5560, 2020.
R. R. Yager, N. Alajlan, and Y. Bazi, “Uncertain database retrieval with measure-based belief function attribute values,” Information Sciences, vol. 501, pp. 761-770, 2019.
Z. Du, “Energy analysis of Internet of things data mining algorithm for smart green communication networks,” Computer Communications, vol. 152, pp. 223-231, 2020.
B. Liao, T. Zhang, J. Yu, J. L. Huang, B. L. Guo, and Y. Liu, “Resource efficiency optimization for big data mining algorithm with multi MapReduce collaboration scenario,” Application Research of Computers, vol. 37, no. 5, 1321-1325, 2020.
Q. X. Yang, G. N. Wang, and T. Wang, “Simulation of multi-source log security data mining based on time series,” Computer Simulation, vol. 36, no. 2, pp. 297-301, 2019.
R. R. Yager, N. Alajlan, and Y. Bazi, “Uncertain database retrieval with measure-based belief function attribute values,” Information Sciences, vol. 501, pp. 761-770, 2019.
Z. Du, “Energy analysis of Internet of things data mining algorithm for smart green communication networks,” Computer Communications, vol. 152, pp. 223-231, 2020.
B. Liao, T. Zhang, J. Yu, J. L. Huang, B. L. Guo, and Y. Liu, “Resource efficiency optimization for big data mining algorithm with multi MapReduce collaboration scenario,” Application Research of Computers, vol. 37, no. 5, 1321-1325, 2020.
Q. X. Yang, G. N. Wang, and T. Wang, “Simulation of multi-source log security data mining based on time series,” Computer Simulation, vol. 36, no. 2, pp. 297-301, 2019.
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