COSC 6340 Projects & Homeworks Spring 2002

Learn how to define tables Learn how to load and create an Oracle database Learn how to define user views data warehousing OLAP Conceptual Schema Design Generate SQL Plus reports Learn PL/SQL basics PL/SQL Cursors PL/SQL Functions Procedures and Packages PL/SQL Triggers Developer 2000 Datablock Forms Developer 2000 reports ODL/OQL basics Learn how to write complex SQL Queries Project2 Data Mining Project1 MS SQL 2000 Analysis Server Decision Trees Clustering Oracle8i Relational Database Design Spring 2002 Projects Object-Relational features Support for XML

Elements of COSC 6340, Christoph F. Eick 3 Elements of COSC 6340  2-3 Ungraded Homeworks  Exam0 (Feb. 19, 2002)  Project1 --- Individual Project (Feb. 27-March 20, 2002)  Midterm Exam (April 2, 2002)  Graded Homework1 (March 10-March 27, 2002)  Project2 --- Group Project (April 4-April 18, 2002)  Graded Homework2 (April 20-25, 2002)  Final Exam (May 7, 2002)

Announcements April 23 1.Our office hours remain the same through May 7, 2002 (except I am out of town Mo., April 29). 2.The grades for the midterm exam should be available some time this week. 3.Check our website on how you can pick up Exam1 and Homework1 (and Homework2). 4.Submit Homework2 electronically, and deliver a hardcopy of Homework2 to Haili on April 29 or to me on April 30, The ODL problem has been removed from the homework. 5.Overhead Projector Problem for Thursday 6.Note that the final exam takes place in 104C ! 7.A review list for Part2 of the QE will be available this week

Elements of COSC 6340, Christoph F. Eick 5 Announcements 1.There will be a meeting for students interested in taking the QE Exam directly after TH’s class. If you cannot attend this meeting, visit me during my office hours instead. 2.Checkout MS SQL Server 2000 CD from the department and install it on your own computer, if it has enough disk space. There will also be a dedicated machine for each group in the fifth floor. 3.Group Memberships for Project2 will be finalized by Th., March 28 4.I want to talk to all members of Group3 directly after today’s class! 5.Deadline Graded Homework1: or

Elements of COSC 6340, Christoph F. Eick 6 Decision Trees --- Post Analysis I  User Interface of the Decision Tree Tool  Algorithm employed (Parameters…)  Problems in using this technology  ALL-node (one path; too many paths;…)  Problems with the lack of data in the data set  Other??  Generating Decision Trees on Cubes vs. Relations  Which DT-related Activities were most time consuming  Other features  Cross Validation  Generation of Rules  Dependency Analysis?!?

Elements of COSC 6340, Christoph F. Eick 7 Decision Trees --- Post Analysis II  Combining DT with other KDD Techniques  Generating Decision Trees  Generating Cubes from Decision Trees  Using DT technology for converting symbolic attributes into numerical attributes  Using DT and MS SQL 2000 components outside the server  Overall Evaluation of DT tools used in class  If we had an extra class to better prepare you for the DT what should be taught in the class

Elements of COSC 6340, Christoph F. Eick 8 OLAP --- Post Analysis  User Interface of the OLAP Tool  Quality of the teaching material  How did you obtain the necessary knowledge for Part I of the project  Problems in using OLAP in MS SQL Server 2000  Any problems in constructing particular cubes  Numerical Dimensions  Other??  Which OLAP-related activities were most time consuming  Overall Evaluation of OLAP tools used in class  If we had an extra class to better prepare you for OLAP/Clustering what should be taught in the class

Elements of COSC 6340, Christoph F. Eick 9 Clustering --- Post Analysis I  User Interface of the Clustering Tool  Algorithm employed (Parameters…)  Problems in using this technology  Similarity Measure Construction  Outliers?!?  Other??  Clustering on Cubes vs. Relations  Which Clustering-related Activities were most time consuming  Evaluation of Clusters

Elements of COSC 6340, Christoph F. Eick 10 Clustering --- Post Analysis II  Combining Clustering with other KDD Techniques  Generating Decision Trees from Clusters  Using CL technology for converting numerical attributes into symbolic attributes  …  Using CL and MS SQL 2000 components outside the server  Overall Evaluation of CL tool used in class  If we had an extra class to better prepare you for OLAP/Clustering what should be taught in the class