On Multiple Query Optimization in Data Mining

Traditional multiple query optimization methods focus on identifying common subexpressions in sets of relational queries and on constructing their global execution plans. In this paper we consider the problem of optimizing sets of data mining queries submitted to a Knowledge Discovery Management Sys...

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Bibliographische Detailangaben

Hauptverfasser:	Wojciechowski, Marek, Zakrzewicz, Maciej
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Applied sciences Artificial intelligence Computer science control theory systems Data processing. List processing. Character string processing Exact sciences and technology Learning and adaptive systems Memory organisation. Data processing Software
Online-Zugang:	Volltext
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