DBMiner: A System for Data Mining in Relational Databases by Han J., Chiang J.Y., Chee S.

By Han J., Chiang J.Y., Chee S.

An information mining process, DBMiner, has been constructed for interactive mining of multiple-level wisdom in huge relational databases and knowledge warehouses. The process implements a large spectrum of information mining services, together with characterization, comparability, organization, category, prediction, and clustering. by means of incorporating a number of attention-grabbing information mining options, together with OLAP and attribute-oriented induction, statistical research, innovative deepening for mining multiple-level wisdom, and meta-rule guided mining, the approach offers a easy, interactive facts mining setting with strong functionality.

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Figure 2-1. 5, the DatabaseMetaData allows you to obtain information about the database and has over one hundred methods. html. To obtain a DatabaseMetaData object, use these general steps: 1. Connect to a database by using an instance of the Connection object. 2. To find out the names of the database schema, tables, and columns, get an instance of the DatabaseMetaData object from the Connection. 3. Perform the actual query by issuing a SQL query string. Then use the Connection to create a Statement class to represent your query.

However, there is another important class of database access where an application (or an application builder) dynamically (in other words, at runtime) discovers the database schema information and uses that information to perform appropriate dynamic data access. This chapter describes the JDBC support for dynamic access. A dynamic database access application may include building dynamic queries, dynamic browsers, and GUI database adapters, just to mention a few. 2. What Is Database Metadata? The database has emerged as a major business tool across all enterprises, and the concept of database metadata has become a crucial topic.

List, where each element will be a keyword. You can try the following two solutions for this problem. List object, where each element is a SQL keyword (as a String object). The second solution returns the result as XML. *; /** * Get the SQL keywords for a database. Connection object. * @return the list of SQL keywords for a database. * Each element in the list is a SQL keyword. * @exception Failed to get the SQL keywords for a database. *; /** * Get the SQL Keywords for a database. * @param conn the Connection object.

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