| Netz, A. et alii, Integrating Data Mining with SQL Databases: OLE DB for Data Mining, Proc. of the ICDE'01, 17th Intl Conf. on Data Engineering, Heidelberg, Germany, pp. 379-387, 2001 |
....architecture and design to further automate the KDD process. 2. Related Projects In general terms, current technologies and applications that support knowledge discovery in databases can be categorized as tightly coupled approaches and looselycoupled approaches. Tightly coupled approaches [1][15][18] take advantage of database performance and capabilities by incorporating data mining models inside the underlying database. Thus, the knowledge discovery tools are bound to the underlying database. Loosely coupled approaches, generically, extract data sets from the database. This allows ....
Netz, A., S. Chaudhuri, U. Fayyad, and J. Bernhardt, "Integrating Data Mining with SQL Databases: OLE DB for Data Mining" Proceedings of the International Conference on Data Engineering (ICDE 2001.
.... compilers for ad hoc mining queries and application programming interfaces (APIs) Although several KDD query languages have been proposed (e.g. Mine Rule [20] MSQL [16] DMQL of DBMiner [11,23] few methods have been proposed in the other directions; for instance, OLE DB for Data Mining [29], the Discovery Board system [37] or the system proposed in Ref. 21] 1.1. Motivation A KDD query language allows for the expression of KDD queries (i.e. a query in a KDDMS) which are predicate resulting into a set of KDD objects (e.g. 0950 5849 03 see front matter q 2002 Elsevier Science ....
A. Netz, S. Chaudhuri, U. Fayyad, J. Bernhardt, Integrating data mining with SQL databases: OLE DB for Data Mining, Proceedings of IEEE International Conference on Data Engineering (ICDE'2001.
....[13] The query operators support rule constraints as well as the selections on support and confidence values [5] These frameworks are limited as stated above to association rule mining. Different data mining query languages were introduced to provide an integrated data mining environment [14, 11, 20, 27]. These languages try to create a descriptive interface to data mining algorithms and thus, the integration with database management systems. Much work has addressed scaling up data mining algorithms. An overview is given in [23] One task of adding scalability to DM algorithms is their ....
Amir Netz, Surajit Chaudhuri, Usama M. Fayyad, and Jeff Bernhardt. Integrating Data Mining with SQL Databases: OLE DB for Data Mining. In Proceedings of the 17th International Conference on Data Engineering, April 2-6, 2001, Heidelberg, Germany., pages 379--387. IEEE Computer Society, 2001.
No context found.
Netz, A. et alii, Integrating Data Mining with SQL Databases: OLE DB for Data Mining, Proc. of the ICDE'01, 17th Intl Conf. on Data Engineering, Heidelberg, Germany, pp. 379-387, 2001
No context found.
Netz A., Bernhardt J., Chaudhuri S. and Fayyad U., Integrating Data Mining with SQL Databases: OLE DB for Data Mining, Proc. of 17th Intl Conf. on Data Engineering, Heidelberg, Germany, 2001. ftp://ftp.research.microsoft.com/users/AutoAdmin/netza_oledb.pdf.
No context found.
Netz A., Bernhardt J., Chaudhuri S. and Fayyad U., Integrating Data Mining with SQL Databases: OLE DB for Data Mining, Proc. of 17th Intl Conf. on Data Engineering, Heidelberg, Germany, 2001. ftp://ftp.research.microsoft.com/users/AutoAdmin/netza_oledb.pdf.
No context found.
A. Netz, S. Chaudhuri, U. M. Fayyad, and J. Bernhardt. Integrating data mining with sql databases: OLE DB for data mining. In Proc. ICDE'01, pages 379--387, 2001. IEEE Computer.
No context found.
Amir Netz, Surajit Chaudhuri, Usama M. Fayyad, and Je# Bernhardt. Integrating data mining with SQL databases: OLE DB for data mining. In Proceedings of the 17th International Conference on Data Engineering, pages 379--387. IEEE Computer Society, 2001.
No context found.
A. Netz, S. Chaudhuri, U. M. Fayyad, and J. Bernhardt. Integrating data mining with sql databases: OLE DB for data mining. In Proc. ICDE'01, pages 379-387, 2001. IEEE Computer.
Online articles have much greater impact More about CiteSeer.IST Add search form to your site Submit documents Feedback
CiteSeer.IST - Copyright Penn State and NEC