Mining Algorithm Base On The Multilevel Weighted Update Association Rule

Data Mining is a kind of method which can dig the useful information from dataware. Data Mining is a kind of new powerful technology with potential development and its main role is to help corporation to focus on its useful information from dataware. Data mining tools can be used for predicting trends, let corporation have response in time. Data mining tools can solve some technical problem which can not be provided by traditional technologies, they scan the hidden information in the database, summarized and forecast information which may be missed by experts , because the missing information were out of their thought.Today is an information era .Who can control the world with the useful information. Data is the carrier of information, but the data does not mean the information. At present, most companies have a large amount of data. Data mining technology can be applied to existing software and hardware platforms rapidly, enhance the value of existing information resources, how to adopt effective data mining algorithms, it is a target to purify the information under the allowable condition.Although the AI field has taken a major dive in the last decade; this new emerging field has shown that AI can add major contributions to existing fields in computer science. Data warehousing is defined as a process of centralized data management and retrieval. Data warehousing, like data mining, is a relatively new term although the concept itself has been around for years. Data warehousing represents an ideal vision of maintaining a central repository of all organizational data. Centralization of data is needed to maximize user access and analysis. Dramatic technological advances are making this vision a reality for many companies.And, equally dramatic advances in data analysis software are allowing users to access this data freely.In fact, many experts believe that data mining is the third hottest field in the industry behind the Internet, and data warehousing.Data mining is really just the next step in the process of analyzing data. Instead of getting queries on standard or user-specified relationships, data mining goes a step farther by finding meaningful relationships in data.Relationships that were thought to have not existed or ones that give a more insightful view of the data. For example, a computer-generated graph may not give the user any insight; however data mining can find trends in the same data that shows the user more precisely what is going on. Using trends that the end-user would have never thought to query the computer about. Without adding any more data, data mining gives a huge increase in the value added by the database.Data Mining in the vast amounts of information shown by the above processing capabilities and advantages of his widely used in various fields of the main reasons is its extensive research and concerns were the main reason. Mining data in the database can be for those who have sufficient scale and quality of data mining, and provides the following functions:Automated prediction of trends and behaviors: Data mining automates the process of finding predictive information in a large database. Questions that traditionally required extensive hands-on analysis can now be directly answered from the data. A typical example of a predictive problem is targeted marketing. Data mining uses data on past promotional mailings to identify the targets most likely to maximize return on investment in future mailings. Other predictive problems include forecasting bankruptcy and other forms of default, and identifying segments of a population likely to respond similarly to given events.Automated discovery of previously unknown patterns: Data mining tools sweep through databases and identify previously hidden patterns. An example of pattern discovery is the analysis of retail sales data to identify seemingly unrelated products that are often purchased together. Other pattern discovery problems include detecting fraudulent credit card transactions and identifying anomalous data that could represent data entry keying errors. By mining demographic data from comment or warranty cards, the retailer could develop products and promotions to appeal to specific customer segments. The National Basketball Association (NBA) is exploring a data mining application that can be used in conjunction with image recordings of basketball games. NBA ,The Advanced Scout software analyzes the movements of players to help coaches orchestrate plays and strategies.The date-set are managed equally and conformably in the traditional association rule mining algorithm .This thesis bring forward a kind of increment association rule mining algorithm :introduce a update association mode with multilevel weighted,the date are endowed with weights during mining algorithm, enhance the effect for the mining result. The refresh date are embodied with higher interest gene for currently decision making。The test indicate the algorithm with high sensitivity responding for the direction and providing a timely and exactly information for the decision-making person. It enables these companies to determine relationships among "internal" factors such as price, product positioning, or staff skills, and "external" factors such as economic indicators, competition, and customer demographics. And, it enables them to determine the impact on sales, customer satisfaction, and corporate profits. Finally, it enables them to "drill down" into summary information to view detail transactional data.It should be analysed that the update data sets have more force than the old data sets.Such as the Mining Algorithm which Base on the Weighted Association Rule,the task of Weighted Association Rule is to discover the different attention degree for items in the Mining Algorithm Association Rule, " the value of 50 pingpong is less than the table of pingpong", it is embodiment of Weighted. So the set of weight is also important.For example, the weight were confirmed by price.The experiment indicate that the Mining Algorithm Base on the Weighted Association Rule have a high infection and respond the trend in time. So it can provide exactly and timely information to leader .