Incremental Association Rule Mining Using Materialized Data Mining Views

Data mining is an interactive and iterative process. Users issue series of similar queries until they receive satisfying results, yet currently available data mining systems do not support iterative processing of data mining queries and do not allow to re-use the results of previous queries. Consequently, mining algorithms suffer from long processing times, which are unacceptable from the point of view of interactive data mining. On the other hand, the results of consecutive data mining queries are usually very similar. This observation leads to the idea of reusing materialized results of previous data mining queries. We present the notion of a materialized data mining view and we propose two novel algorithms which aim at efficient discovery of association rules in the presence of materialized results of previous data mining queries. 1 Overview of Data Mining Processing Data mining, also referred to as knowledge discovery in databases, is a nontrivial process of identifying valid, nov...

• Type: Conference
• Year: 2004
• Where: ADVIS
• Authors: Mikolaj Morzy, Tadeusz Morzy, Zbyszko Królikowski
• Keywords: ADVIS 2004, Data Mining, Data Mining Queries, Data Mining Systems