The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
How can we retrieve information from sparse graphs? Traditional graph mining approaches focus on discovering dense patterns inside complex networks, for example modularity-based or cut-based methods. However, most real world data sets are very sparse. Nevertheless, traditional approaches tend to omit interesting sparse patterns like stars. In this paper, we propose a novel graph mining technique modeling...
Rice is the world's most important crop for ensuring food security. Remote sensing has advantages in collecting data objectively and accurately on rice planting area, growth and development, and yield at large scales, but processing is slow due to vast amount of data, and there is need for an information extraction system specially designed for rice. This paper mainly discussed the key techniques...
According to the tape tension requirements in the course of fruit-cultivating bag machine running, fuzzy self-adaptive PID controller is applied to tension control system and mathematics model is founded. The structure and controlling rules of PID controller has been analyzed. Process simulation is completed and proves that the method satisfied the request of moderate and constant tension, and the...
Because of the impact of financial crisis, it is difficulty for Chinese small and medium-sized real estate enterprises to finance. By the real estate syndicate financing from abroad combined with the reality of our country, this article puts forward Chinese real estate syndicate financing methods, and uses game theory to analyze and study it. Study shows that the mode of financing of real estate syndicate...
In order to solve the problem that there exists unbalanced detection performance on different types of attacks in current large-scale network intrusion detection algorithms, distributed transfer network learning algorithm is proposed in this paper. The algorithm introduces transfer learning into distributed network boosting algorithm for instructing the attacks learning with poor performance, in which...
Study the role of Fas ligand (FasL) expression in carcinogenesis and progression of esophageal cancer and molecular mechanisms of relevant immune escape. FasL expression was studied in adjacent epithelial cells, cancer cells and lymphocytes of primary foci, and cancer cells of metastatic foci from 40 cases of esophageal cancer by immunohistochemistry. The relationship between FasL expression in cancer...
This paper explores the synthesis problems of a reconfigurable mechanism and its kinematic chains through an analytical process. Firstly, it presents a general procedure to synthesize the kinematic chains of an end-effector with the prescribed motion specifications, and then deduces the construction criteria of such chains. Any mechanism with a certain specified motions can be synthesized; and vice...
We present a general approach to speeding up a family of multi-relational data mining algorithms that using ID propagation to obtain the information needed for building decision tree classifier from relational database. Preliminary results of our experiments suggest that the proposed method can yield 1-2 orders of magnitude reductions in the running time of such algorithms without any deterioration...
The clustering about relational databases is an active study subject in data mining. In this paper, we introduce a multi-relational hierarchical clustering algorithm based on shared nearest neighbor similarity (MHSNNS). First, this algorithm joins every table through the tuple 1D propagation. Then, groups objects into a large number of relatively small sub-clusters using the shared nearest neighbor...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.