Salim M, Yao X (2002) Evolving SQL queries for data mining. In: Yin H, Allinson N, Freeman R, Keane J, Hubbard S (eds) Proceedings of the 3rd international conference on intelligent data engineering and automated learning (IDEAL’02). Lecture notes in computer science, vol 2412. ...
Data mining was deprecated in SQL Server 2017 Analysis Services and now discontinued in SQL Server 2022 Analysis Services. Documentation is not updated for deprecated and discontinued features. To learn more, see Analysis Services backward compatibility. For data mining, the category data definition qu...
Ong, C. Zaniolo Metaqueries for data mining Advances in Knowledge Discovery and Data Mining, AAAI/MIT Press, Cambridge, MA (1996), pp. 375-397 Google Scholar [21] Y. Fu, J. Han Metarule-guided mining of association rules in relational databases Proceedings of the 1995 Internat. Workshop...
Configure the time-out value for data mining queriesIn SQL Server Data Tools, from the Tools menu, selection Options. In the Options pane, expand Business Intelligence Designers. Click the Query Timeout text box, and type a value for the number of seconds....
You will be using queries to extract data from the database for reports and data pickers and to set up auto-creation with creator elements. A query is a data mining tool—a method for retrieving information from a database. A query filters the information returned from the database ...
Privacy preserving data release is a hot topic that attracts a lot of attentions in data mining, machine learning, and social network communities. Most studies on privacy preserving focus on static data releases; however, data are usually updated periodically. As a potential solution, differential ...
We implement the new operators inside a prototype database engine based on PREDATOR. The experimental evaluation of our approach compares recent algorithms for joining ranked inputs and shows superior performance. This is a preview of subscription content, log in via an institution to check access....
For such queries, we use the internal structure of the mining model to automatically derive traditional database predicates. We present algorithms for deriving such predicates for some popular discrete mining models: decision trees, naive Bayes, and clustering. Our experiments on Microsoft SQL Server ...
We hope the dataset will aid future research in the area of Natural Language based Code Search. We briefly describe the data below, for more details, refer to our paper published at the 18th International Conference on Mining Software Repositories (MSR) 2021....
Any unexpected answer can cause confusion on the user side, since its reason is unclear: was the query overspecified/underspecified or was it correct and is the data not existing in the database? To answer these questions, users need a means for explorative queries and guidance through the ...