Social network media analytics is showing promise for prediction of financial markets. However,
the true value of such data is unclear due to a lack of consensus on which instruments …

In order to realize the rapid and accurate intelligent garbage sorting of robots, the research
will build an image recognition model for garbage classification and analyze it. In this study, …

E-learning is one of the dominant applications of digital techniques in the educational
platform. Tutors can effectively tailor their instruction to each student by using the automatic …

Students can improve their capacity to learn continuously and work together to achieve a
common goal through cooperative and explorative coursework in personalized learning. This …

Credit bank provides learning channels and direction for growing talents, but the current
centralized management form of credit bank is not conducive to the management of learning …

In view of the fact that the traditional risk evaluation model has the problem of repeated
indexes when evaluating the risk of stock exchange market, this paper uses random forest and …

This paper proposes a method of context-aware edge similarity segmentation algorithm of
time series. The algorithm overcomes the machinery of traditional pattern discovery and …

With the rapid development of social economy, lifelong learning has become one of people’s
main tasks. How to recommend appropriate learning resources according to learners’ …

Time series is a ubiquitous data existed in different domains including finance, medicine,
business and other industrial fields. Recently, time series data mining attracts much attention. …

The construction of complex networks in current financial data does not take into account the
energy characteristics that exist in similar stocks. Without considering the stock network as …