1 of 7 A High-Performance Data Mining Framework in MySQL Dr. Lutz Hamel Tiegeng Ren Dept. of Computer Science in URI 3/31/2003.

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Presentation transcript:

1 of 7 A High-Performance Data Mining Framework in MySQL Dr. Lutz Hamel Tiegeng Ren Dept. of Computer Science in URI 3/31/2003

2 of 7 A High-Performance Data Mining Framework in MySQL The idea What we have Bring it to MySQL framework Current status

3 of 7 The Idea High performance database Mature data mining algorithms Current solutions – use DB interface. Can we bypass the interface/data transfer?

4 of 7 What We Have High-performance relational database Data mining algorithms Database Data mining Algorithms (ANN, Decision Tree …)

5 of 7 Comparison of Solutions Database (Oracle, MSSQL, ySQL..) Interface (ODBC, JDBC, APIs) User functions/Algorithm (Data mining algorithms) Database (Oracle, MSSQL, ySQL..) Data transfer in/out DB through slow interface. Data managed by the High-performance DB itself. No data transfer any more. Algorithms are wrapped into functions that available to all SQL queries. Data mining Algorithms (ANN, Decision Tree …)

6 of 7 How to integrate data mining algorithm to RDBMS Why MySQL Implementation –Interface - User Defined Functions (UDF) –ANN algorithms What we plan to do –Implant a prototype ANN into MySQL as a UDF –Enhance the interface –Put in more algorithms and functionality

7 of 7 Current Status Probe the MySQL Redesign the interface of current ANN program into the UDF –Add UDF wrapper function to ANN. –Modify the ANN’s interface