Having adequate, sufficient and timely information and data is very important for investors' decision making. Processing information and allocating the asset are two fundamental tasks in the securities market and the stock price is more likely to have the nature of disclosure, information effectiveness and asset allocation efficiency. Thus, in this research, the effects of large block transacti...

This paper describes a congestion control method for TCP that adjusts the transmission rate of a TCP connection by changing not only the congestion window size as in normal TCP, but also by delaying the transmission of packets at the sender. We refer to this method as TCP with sender-based delay control, or simply SDC. SDC can keep the window size of a TCP connection above a certain threshold e...

In real investment, there is a relationship between external financing and abnormal stock returns. This study predicts a negative correlation between external financing and stock returns. The dependent variable of the research is stock returns and the independent variables are net financing and equity ratio. Also, control variables of the research includes assets growth, company’s size and comp...

Research and development efforts in the field of commercial applications have invested strategic interest design intelligent systems that correctly handle out-of-stock events. An event refers to a scenario which such customers do not availability products they want buy. This generates important economic damage producer store. Addressing problem is currently great as it would allow limiting dama...

The previous work is carried out on sliding window approach for fragment mining rules which results in large & complex processing the data. In this paper we present an idea to find out association within inter-transaction with different windowing approach. These approaches first minimizes the huge input dataset using tumbling window approach and then apply fragment mining to generate rules amon...

How to analyze the features of stock price accurately and master the regularity of stock price changing with time quickly and effectively is of great theoretical and realistic significance and is an important research direction in financial field. For complicated non-linear and periodic variations of stock prices, a parallel computing model is proposed in this paper based on stock prediction al...

Currently coal fired power plant requires bunker or stock piles in order to place the coal for storage purpose and to use it effectively when demand arises. Real time sensors are used to sense level of the coal and to pass data to computational systems for processing hence further actions such as refilling and distributing of coal can be automated. Further the control action in level sensing ca...

As the number of publicly traded companies as well as the amount of their financial data grows rapidly and improvements in hardware infrastructure and information processing technologies enable high-speed processing of large amounts of data, it is highly desired to have tracking, analysis, and eventually stock selections automated. Machine learning has already attained an important place in tra...