Datamining is a new component in Bluequery Enterprise V. It can help the enterprise analyze its past, today and future. Firstly, many users or engineers only understand that the data mining represents extraction and loading of data. But the true definition of Data Mining is that it helps the enterprise predict the important data hidden under the depth of database. But how does a data mining tool tell your correctly the important information hidden deeply under the database? How does it make a prediction? The answer is "modeling".

Modeling is in fact to build a model you have known the result and apply this model to a situation unknown to you. With data mining as the core technology, BlueQuery Datamining provides different modeling foundations, including association rules, sequence mode, frequent sequence, decision tree classification, neutral network, linear regression, Logistic regression, K-means clustering, fuzzy clustering, abnormal detection and many other data mining algorithm. It also provides appropriate visualizing method for data mining model, by which the user can view the visualized result of the model and use the predictive model to perform predictive rating against the data.

In recent year, the data mining is difficult to apply in small and medium enterprises (SME), because there are few foreign products with data mining function and it must be up to 1 million as long as data mining is mentioned. It is also because modeling is required, in which case the experience of the responsible technician is the key to success. Therefore, we set up cooperation with Shanghai Fudan Datamining to develop Asia-Pacific Data Analysis and Prediction Center in December 2005, aimed to push the construction and development of data analysis and BI projects in China and to track the world's leading technologies. We made mutual communication on the latest researches and experiences. We are dedicated to providing the first-class professional localization services for BI applications and engineering in Asia-Pacific region.

Successful Projects:

1. Finance Center Information System for Guangzhou Bank of Communications
2. Decision Supporting System for the State Administration of Taxation
3. Client Analysis System for the Bank of Communications
4. Shanghai Vegetable Market Information Analysis System
5. Archives Center and Data Center for Economic Commission

Analysis Process Management BlueQuery - Datamining provides a visualized operating interface for analysis process. The user can create, store, recover, release and introduce its own analysis process. The analysis process can also be downloaded into file format. The process files downloaded can be embedded into other systems via API platform.

Data Mining Technology BlueQuery - Datamining provides six types of data mining algorithm, e.g. association rule, frequent sequence, decision tree classification, BP neutral network, K-means clustering and abnormal detection. It also provides appropriate visualizing method for data mining model, by which the user can view the visualized result of the model and use the predictive model to perform predictive rating against the data. Click to View the example of BlueQuery Datamining.