Massive Real-Time Data Mining Algorithm for a Multimedia Database

被引:0
作者
Gong, Jiaju [1 ]
Wu, Qin [1 ]
机构
[1] Electronic and Information Technology, Jiangmen Polytechnic, Jiangmen,529030, China
来源
Engineering Intelligent Systems | 2022年 / 30卷 / 01期
关键词
Extraction - Data mining - Classification (of information);
D O I
暂无
中图分类号
学科分类号
摘要
The traditional classification mining algorithm for massive data has a complicated calculation process, poor real-time performance and low accuracy. This paper presents a real-time data mining algorithm for a multimedia database. The wavelet de-noising method is used to de-noise the data in the multimedia database to reduce the interference of the background area to the feature extraction of the multimedia data. The effective area extraction algorithm based on the center of mass is used to extract the effective area and is combined with the SIFT algorithm and LBP algorithm to extract the data features from the multimedia database. Experimental results show that the algorithm is accurate, reliable, has a high real-time mining ability and a practical ability. © 2022 CRL Publishing Ltd
引用
收藏
页码:35 / 37
相关论文
共 50 条
[41]   Real-time multimedia data acquisition protocol for industrial applications [J].
Shaikh, Asad Ali ;
Abbasi, Tabasum ;
Bhatti, Muhammad Iqbal .
Journal of Applied Sciences, 2006, 6 (14) :2912-2916
[42]   Protocols for real-time multimedia data transmission over the Internet [J].
Civanlar, MR .
PROCEEDINGS OF THE 1998 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING, VOLS 1-6, 1998, :3809-3812
[43]   Real-time Big Data Analytics for Multimedia Transmission and Storage [J].
Wang, Kun ;
Mi, Jun ;
Xu, Chenhan ;
Shu, Lei ;
Deng, Der-Jiunn .
2016 IEEE/CIC INTERNATIONAL CONFERENCE ON COMMUNICATIONS IN CHINA (ICCC), 2016,
[44]   Synchronous transmission of real-time multimedia data in group communication [J].
Tojo, T ;
Takizawa, M .
11TH INTERNATIONAL CONFERENCE ON PARALLEL AND DISTRIBUTED SYSTEMS, VOL I, PROCEEDINGS, 2005, :91-97
[45]   Real-time Traffic Classification with Twitter Data Mining [J].
Kurniawan, Dwi Aji ;
Wibirama, Sunu ;
Setiawan, Noor Akhmad .
PROCEEDINGS OF 2016 8TH INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND ELECTRICAL ENGINEERING (ICITEE), 2016,
[46]   AziSA: improving mining decisions with real-time data [J].
Vogt, D. ;
Brink, V. Z. ;
Stewart, R. ;
Haarhoff, J. ;
Ferreira, G. ;
Donovan, S. .
JOURNAL OF THE SOUTH AFRICAN INSTITUTE OF MINING AND METALLURGY, 2009, 109 (01) :15-21
[47]   Real-time Data Mining Methodology and a Supporting Framework [J].
Deng, Xiong ;
Ghanem, Moustafa ;
Guo, Yike .
NSS: 2009 3RD INTERNATIONAL CONFERENCE ON NETWORK AND SYSTEM SECURITY, 2009, :522-527
[48]   Real-Time Effective Framework for Unstructured Data Mining [J].
Lomotey, Richard K. ;
Deters, Ralph .
2013 12TH IEEE INTERNATIONAL CONFERENCE ON TRUST, SECURITY AND PRIVACY IN COMPUTING AND COMMUNICATIONS (TRUSTCOM 2013), 2013, :1081-1088
[49]   A Data Mining Approach for Real-time Corrective Switching [J].
Shi, Jiaying ;
Oren, Shmuel S. .
2015 IEEE POWER & ENERGY SOCIETY GENERAL MEETING, 2015,
[50]   Solid state disk for real-time data mining [J].
Fisher, Tom .
Storage Management Solutions, 1998, 3 (01) :67-68