1. 1 ORACLE Data Mining  Included with ORACLE 10g  Freely available for UVic and for personal unlimited evaluation use. Choose the enterprise version!

2. 2 Creating a data mining user  A data mining user is a canonical user, but with a few more privileges than usual.  As ‘system’ create a canonical user: CREATE USER dmuser1 IDENTIFIED BY dmpsw DEFAULT TABLESPACE users TEMPORARY TABLESPACE temp QUOTA UNLIMITED on users;  Then, grant privileges to this user:  GRANT create procedure to DMUSER1;  GRANT create session to DMUSER1;  GRANT create table to DMUSER1;  GRANT create sequence to DMUSER1;  GRANT create view to DMUSER1;  GRANT create job to DMUSER1;  GRANT create type to DMUSER1;  GRANT create synonym to DMUSER1;  GRANT execute on ctxsys.ctx_ddl to DMUSER1; Now, DMUSER1 is ready to perform data mining tasks.

3. 3 ‘sh’ user  To use the examples you have to activate the sh user.  There are the example data  Created during ORACLE installation.  However, it’s not active.  To activate: Open Oracle Enterprise Manager. Login as ‘system’. Go to ‘administration’ tab, then click on users, find the ‘sh’ user and activate it.

4. 4 Using the data of ‘sh’  Connect (login) as sh and grant SELECT privilege to dmuser1 for these tables:  COUNTRIES  CUSTOMERS  PRODUCTS  SUPPLEMENTARY_DEMOGRAPHICS  SALES  In other words execute:  GRANT SELECT ON customers TO dmuser1;  GRANT SELECT ON sales TO dmuser1;  GRANT SELECT ON products TO dmuser1;  GRANT SELECT ON supplementary_demographics TO dmuser1;  GRANT SELECT ON countries TO dmuser1;  Now, dmuser1 is able to execute SELECT on these tables, and create views on them.

5. 5 DMUSER1: Creating views on ‘sh’ data CREATE VIEW mining_data_build_v AS SELECT a.CUST_ID, a.CUST_GENDER, 2003-a.CUST_YEAR_OF_BIRTH AGE, a.CUST_MARITAL_STATUS, c.COUNTRY_NAME, a.CUST_INCOME_LEVEL, b.EDUCATION, b.OCCUPATION, b.HOUSEHOLD_SIZE, b.YRS_RESIDENCE, b.AFFINITY_CARD, b.BULK_PACK_DISKETTES, b.FLAT_PANEL_MONITOR, b.HOME_THEATER_PACKAGE, b.BOOKKEEPING_APPLICATION, b.PRINTER_SUPPLIES, b.Y_BOX_GAMES, b.OS_DOC_SET_KANJI FROM sh.customers a, sh.supplementary_demographics b, sh.countries c WHERE a.CUST_ID = b.CUST_ID AND a.country_id = c.country_id AND a.cust_id between 101501 and 103000;  You can find other view creation statements in dmsh.sql that will be in the web.

6. 6 Oracle Data Miner GUI  It’s a Java application. Connects through JDBC to the ORACLE database.  Installed in SENG Windows lab.  Can also be freely downloaded from Oracle.

7. 7 Connecting

8. 8  An electronics store chain wants to distribute a discount card to its customers, but only to those customers who are expected to increase their buying (and thus the company’s revenue) because of this card.  A test campaign was run on a sample of customers and the results were compiled into a table containing the customer demographics, purchasing patterns, and a measure of revenue produced by each customer. The Problem

9. 9 Structure

10. 10 A fragment of data

11. 11 Getting a feeling about the data

12. 12 Build a classifier I

13. 13 Build a classifier II

14. 14 Build a classifier III

15. 15 Build a classifier IV I am selecting this

16. 16 Build a classifier V

17. 17 Build a classifier VI

18. 18 Build a classifier VII

19. 19 Build a classifier VIII P(A=1|…) will be used for sorting tuples, as opposed to P(A=0|…).

20. 20 Build a classifier IX

21. 21 Build a classifier X