Data mining and machine learning are used in all real-time applications, whether directly or indirectly. Data analysis in finance, retail, telecommunications, biological data analysis, extra scientific applications, and intrusion detection are just a few exampleswhere it can be used. Because it ...
The outburst of Bigdata has driven a great deal of research to build and extend systems for in-memory data analytics in real-time environment. Stream data mining makes allocation of tasks efficient among various distributed computational resources. Managing chunk of unbounded stream data is challengin...
Over the past few years, significant upgrades and advances in speed and processing power have allowed us to move beyond manual and time-consuming methods to quick and efficient automated data analysis. The more complex the data, the more insights there are to uncover through data mining. Check ...
The framework includes a correlation scheme based on a combination of statistical and stream mining techniques. The method works real-time by extracting ... AA Ramaki,M Amini,RE Atani - 《Computers & Security》 被引量: 26发表: 2015年 Data Reduction in Intrusion Alert Correlation Network intrusi...
The increasing use of various mobile devices has shown that there is a need for mobile data mining applications. While many existing data mining frameworks can be modified to handle data streams generated in real time, they are usually too complex and inflexible to be used in mobile devices. ...
The constructed scheduling model can assign the optimal DR to each scheduling subperiod in real-time, which realizes the purpose of locally updating the scheduling strategy and enhancing the overall scheduling effect of the manufacturing system. Keywords: pure reactive scheduling; subscheduling period; ...
Discover what data mining is, how it works, and its benefits. Learn about data mining techniques and real-world applications in retail, healthcare, manufacturing, and more.
ISORC has become established as the leading event devoted to state-of-the-art research in the field of object/component/service-oriented real-time distributed computing (ORC) technology that consider one or more ilities, such as performance, dependability, scalability, among others. In addition to...
[7] Liu X, Iftikhar N, Xie X. Survey of real-time processing systems for big data[C]//Proceedings of the 18th International Database Engineering & Applications Symposium. 2014: 356-361. [8] Gurusamy V, Kannan S, Nandhini K. The real time big data processing framework: Advantages and li...
The performance of using the CNN and BLR in predicting crashes on freeway work zones will be compared. Models from the paper can be integrated into smart on-road warning systems, in-vehicle techniques and traffic management platforms for real-time crash prediction when supported with data sources...