Xbrl-based Data Mining Research

With the development of computer network technology, the amount of data Increases rapidly in geometric progression. The rapid growth in the amount of data presents a challenge to the computer industry. In the vast network of data, enormous valuable information was hiddened , if such information is effective and fast mining, and these data are effective researched and usede , It has become an important research topic. Data mining is to apply advanced intelligent computer technology query huge amounts of advanced data, so that under the guidance of computer users from the potentially huge amounts of data found, useful, and this is data mining (Data mining, DM) of the target.After years of domestic and foreign workers to work together over the years, Research and application of data mining technology have achieved great results and has become an increasingly important technologies. Now people have a combination of statistics, machine learning, pattern recognition, intelligent databases, artificial intelligence, expert systems and high performance computing and other fields with data mining technology. But so far, most data mining is to use various methods of artificial intelligence to tap the knowledge of the data exist, the data can not exist a good understanding of the knowledge.Extensible Business Reporting Language XBRL (eXtensible Business Reporting Language) as the Extensible Markup Language XML (eXtensible Markup Language) in the network report the application of information exchange is a language used electronic exchange of business information to provide users with low-cost, efficient service . XBRL is the latest technology applied to unstructured information processing, generation of XBRL brought profound changes for information production, circulation to the application of all aspects.This article structured XBRL-based data mining system model structure including the data acquisition module, XBRL tunnel, data mining and knowledge base described on XBRL; XBRL in the file system to store data, store data in thesiss saved as XBRL format and processed using the operating system, the main way of using split into XBRL documents correspond to the maps, maps relational tables and then stored in a relational database to the field as a unit of data stored in relational databases.This article will develop an XBRL document generation system In the study of existing tools based on XML which can be classified according to the application of the XBRL standard and existing electronic data generate XBRL documents. XBRL document generation system is an important tool for data mining, the generator classification in strict accordance with XBRL standards and technical specifications for the design, the overall idea is to electronic data in accordance with the XML form of classification, and poor links to library-related data into the system to is closed, the operators do not know too much computer knowledge, especially do not know too much expertise in XBRL and XML can easily use the system, Thus, the system is suitable for general users.This thesis show the XBRL document system development process which Provides a unified norms and standards to the disclosure of electronic information. Because With the development of computer and internet, electronic information disclosure technology has developed rapidly, but from the perspective to the development of electronic information disclosure,there is no disclosure of a unified norms and standards for electronic information In this system. Therefore, the electronic information is still lack of effective and reasonable use of disclosure. In this system, XBRL can provide various documents XBRL standard display, query, download and various analytical platforms and services for businesses and individual, this provide a better data mining Methods. for businesses and individuals.