Search

In recent years, communication technology and Internet technology are developing rapidly. In this context, people pay more and more attention to the importance of data, especially the implied information with timeliness and value, and accessing to such information relies on data mining. Data mining technology has many important branches. In recent years, data mining has been widely concerned about the association rules data mining technology is one of them, and its biggest advantage is the ability to derive valuable, but less significant, patterns from a large amount of information. The key and core problem of association rule data mining is frequent itemsets mining. Based on the research status of frequent itemsets mining technology, the research results and basic ideas of frequent itemsets mining algorithms are discussed and analyzed.

When a small object is measured by micro cameras, a sharp image of the whole object is impossible to be obtained because the depth of the object's surface is different and the distance between different parts of the object's surface maybe deeper than the depth of field of the micro camera. The camera is focused on different areas of the object's surface and a series of multi-focus images are taken. The relative depths between the object surface's different sub-regions will be got by comparing image sharpness evaluation function values of multi-focus images' same sub-regions and considering the relative position between the camera and the object. Thus the surface depth is obtained. Multi-focus images' sub-regions with maximum image sharpness evaluation function values are combined into an image. The experimental results verify the effectiveness of the proposed methods.

In this article, we present the Chinese patent text relevance analysis algorithm (CPTRAA) using the Chinese patent documents. Based on this algorithm, we then present the method that can make technology relational analysis for the enterprise technology competition status in a certain technology domain or in certain enterprises by building all kinds of two dimensions visual technology relational network graphs. Using the method, technology policymakers and technology researchers can grasp the whole technology competition status, the local relationship of the detailed technologies or the technology research hot spots.

Wujiang building project is made up of the office building, conference center, plaza basement which composed of the two back strip that is divided into three construction segments, the amount of each construction are concrete square section of 3992m3, 1426m3, 3992m3, which belong to a large volume of concrete. In order to avoid the bottom of the temperature cracks and large temperature stress, the process of pouring of concrete floor construction in winter takes heat insulation, temperature monitoring and other measures to control the rising and dropping speed of the concrete temperature.

Nowadays, people have put more attention on the timer structure. Through this study of repeated comparison tests, we concluded how to greatly improve bending capacity of the beam.

With the rapid development of Cloud computing, data mining and ANN technology, we try to combined cloud data mining and ANN technologies, Using the Capacity of these technologies such as data acquisition, data storage and analyzing large amounts of complicated non-1inear data, To construct a forecasting model for massive data real-time accurately which is difficult to complete on the traditional mode. This new model utilizes an enterprise sales data to test. The result proves that the model is feasible and effective. According to this model’s prediction result, we can provide scientific and real-time decision support for the enterprise management.

With the rapid development of Linux, Ext2 file system gradually becomes the popular file system format. But in the Network Cluster, while copying Ext2 file system format to many hard disks, this operation will waste much more time relatively. By analyzing the data structure of Ext2 file system on the hard disk partition, and getting the effective data bitmap, put forward to the effective data bitmap analyse algorithm and apply it to improve the speed and efficiency of hard disk copy dramatically.The experiment result shows that using effective data bitmap analyse algorithm to complete the hard disk copy, especially in process of recovering the datum of Linux Operation System, is a new method.