Recommended Readings

 

1.    Hakan Hacýg¨um¨us, Bala Iyer  and Sharad Mehrotra, Providing Database as a Service,

       Proceedings of the 18th International Conference on Data Engineering (ICDE.02)

     1063-6382/02 © 2002 IEEE

 

2.    Glen Jeh and Jennifer Widom, Mining the Space of Graph Properties, Technical Report,

       February, 2003, Stanford University

 

3.    JIAWEI HAN et al., Mining Frequent Patterns without Candidate Generation:

        A Frequent-Pattern Tree Approach, Data Mining and Knowledge Discovery,

        8, 53–87, 2004, Kluwer Academic Publishers.

 

4.    TOM BRIJS et al., Building an Association Rules Framework to Improve Product

        Assortment Decisions, Data Mining and Knowledge Discovery, 8, 7–23, 2004,

        Kluwer Academic Publishers.

 

5.    FRANS COENEN et al., Tree Structures for Mining Association Rules

        Data Mining and Knowledge Discovery, 8, 25–51, 2004, Kluwer Academic Publishers.

 

6.    Mei-Ling Shyu et al. Image Database Retrieval Utilizing Affinity Relationships

        MMDB’03, November 7, 2003, New Orleans, Louisiana, USA.

        Copyright 2003 ACM 1-58113-726-5/03/0011

 

7.    Holger Eichelberger, Nice Class Diagrams Admit Good Design?

        ACM Symposium on Software Visualization, San Diego, CA, 2003

 

8.    Mohamed G. Elfeky et al. TAILOR: A Record Linkage Toolbox, Proceedings

     of the 18th International Conference on Data Engineering (ICDE.02), IEEE

 

9.    William E. Spangler et al., Using Data Mining to Profile TV Viewers,

        Communications of the ACM, Dec. 2003, Vol. 46. No. 12.

 

10.   Rakesh Agrawal et al., Mining association rules between sets of items in large databases,

        International Conference on Management of Data and Symposium on Principles of Database

      Systems, Proceedings of the 1993 ACM SIGMOD, Washington, D.C., 1993, pp 207 - 216

 

11.   Marcia A. Derr Shinichi Morishita, Design and Implementation of the Glue-Nail Database System,

        International Conference on Management of Data and Symposium on Principles of Database

      Systems, Proceedings of the 1993 ACM SIGMOD, Washington, D.C., 1993, pp 147 - 156

 

12.    Ching-Tien Ho, Akesh Agrawal et al., Range Queries in OLAP Data Cubes

         International Conference on Management of Data and Symposium on Principles of Database

      Systems, Proceedings of the 1997 ACM SIGMOD, 1997, pp 73 - 88

 

13.    Sergey Brin  et al., Dynamic Itemset Counting and Implication Rules for Market Basket Data

        International Conference on Management of Data and Symposium on Principles of Database

      Systems, Proceedings of the 1997 ACM SIGMOD, 1997, pp 255 - 264

 

14. Sergey Brin  et al., Beyond Market Baskets: Generalizing .Association Rules to Correlations

        International Conference on Management of Data and Symposium on Principles of Database

      Systems, Proceedings of the 1997 ACM SIGMOD, 1997, pp 265 - 276

 

15.  Michael Gillmann et al., Workflow Management with Service Quality Guarantees,

       International Conference on Management of Data and Symposium on Principles of Database

      Systems, Proceedings of the ACMS1GMOD'2002, June 4-6, 2002, Madison, Wisconsin,

       USA, pp 228-239

 

16.   Hakan Haclgumus et al., Executing SQL over Encrypted Data in the Database-Service-Provider Model

        International Conference on Management of Data and Symposium on Principles of Database

      Systems, Proceedings of the ACMS1GMOD'2002, June 4-6, 2002, Madison, Wisconsin,

       USA pp 216-227

 

17.    Chaudhuri S. Narasayya V. and Sarawagi S. , Efficient Evaluation of Queries with Mining Predicates

         Proceedings of 18th International Conference on Data Engineering, San Jose, USA, 2002.

 

18.    Netz A., Bernhardt J., Chaudhuri S. and Fayyad U. , Integrating Data Mining with SQL Databases:

         OLE DB for Data Mining. Proceedings of 17th International Conference on Data Engineering, Heidelberg,

         Germany, 2001.