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Studying price impact is important in finance and previous work examines the relationship between trade size and price impact on a number of equity markets. In this study, using recent order book data from the London Stock Exchange, we examine the price impact function for six highly-liquid stocks and novelly investigate whether the function displays time-of-day effects. The results show that price...
K-dominant skyline query has been proposed as an important operator for multi-criteria decision making, data mining and so on, this technology can reduce the large result sets of skyline query in high dimensional space. In this paper, a new concept was firstly proposed: k-dominant Skyline cube, which consists of all the k-dominant skylines. Although existing algorithms can compute every k-dominant...
Trade execution is concerned with the actual mechanics of buying or selling the desired amount of a financial instrument of interest. A practical problem in trade execution is how to trade a large order as efficiently as possible. A trade execution strategy is designed for this task to minimize total trade cost. Grammatical Evolution (GE) is an evolutionary automatic programming methodology which...
Land resources assessment is the premise and basis for the sustainable utilization of land resources. As a classification technology, Decision Tree has already been applied wildly in the area of information classification. This paper firstly introduces the fundamental theory and characteristics of Decision tree as well as its learning process. Then Iterative Dichotomiser 3 (ID3) algorithm and Decision...
This paper study how to establish topology graphs from a topology embryonic graph with the help of computer in type synthesis of parallel mechanisms. The character of TGs are depicted by character arrays. Define what is isomorphic CAs in virtue of the concept of character string. Then put forward the new approach to identify isomorphism of CAs by using identification matrix. The program finding all...
Rough set theory is emerging as a powerful toll for reasoning about data. Attribute reduction is one of important topics in the research on the rough set theory. Heuristic, discernibility matrix and matrix method are three usually methods for designing attribute reduction algorithm in attribute reduction based on rough set. Some researchers use matrix method to design attribute reduction algorithm...
Sequential pattern mining is an important data mining problem with broad applications. Most previous sequential mining algorithms generate an exponentially large number of sequential patterns. In addition, all items and sequences are treated uniformly. It would be better if the unimportant patterns could be pruned first, resulting in fewer but important patterns after mining. In this paper, we suggest...
At present, some researchers provide a type of fuzzy risk analysis algorithm for dealing with fuzzy risk analysis problems, where the values of the evaluating items are represented by trapezoidal fuzzy numbers. In this method, the main operations are two: one is arithmetic operators of the trapezoidal fuzzy numbers; the other is the similarity of the trapezoidal fuzzy numbers. The proposed method...
This paper proposed a simple and novel approach for on-road object detection based on vision. Firstly, a simple method is applied to detect the interest pixels of object in images by the defined interest pixels function and a single strategy is applied to reduce the redundant computation in the process of computation gray mean of pixels in squared window; Secondly, all the detected interest pixels...
In order to meet the needs of recognizing the targets under the moving space background by micro spacecraft target detector (MTD). According to the particular characters of the spatial background, this paper proposes an algorithm which combines the image centroid registration with the single difference method, named the Centroid Registration Difference Algorithm. In this algorithm, we labeled only...
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