Data Mining Support in Database Management Systems

Abstract. The most popular data mining techniques consist in searching databases for frequently occurring patterns, e.g. association rules, sequential patterns. We argue that in contrast to today's loosely-coupled tools, data mining should be regarded as advanced database querying and supported by Database Management Systems (DBMSs). In this paper we describe our research prototype system, which logically extends DBMS functionality, offering extensive support for pattern discovery, storage and management. We focus on the system architecture and novel SQL-based data mining query language, which serves as the user interface to the system.

• Type: Conference
• Year: 2000
• Where: DAWAK
• Authors: Tadeusz Morzy, Marek Wojciechowski, Maciej Zakrzewicz
• Keywords: Data Mining, Data Mining Techniques, DAWAK 2000, Information Management, SQL-based Data Mining