A. Siebes. Foundations of an inductive query language. In Int'l Conf. on Knowledge Discovery and Data Mining, August 1995.  Home/Search Document Not in Database Summary Related Articles Check |
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A Requirements Analysis for Parallel KDD Systems - Maniatty, Zaki (2000) (7 citations) (Correct)
....obtained in cache mine which caches and mines the query results on a local disk. SQL like operators for mining association rules have also been developed (Meo et al. 1996) Further, proposals for data mining query language (Han et al. 1996; Imielinski and Mannila 1996; Imielinski et al. 1996; Siebes 1995) have emerged. We note that most of this work is targeted for serial environments. PKDD e orts will bene t from this research, but the optimization problems will of course be di erent in a parallel setting. Some exceptions include the parallel generic primitives proposed in (Freitas and Lavington ....
A. Siebes. Foundations of an inductive query language. In Int'l Conf. on Knowledge Discovery and Data Mining, August 1995.
User Interactivity in Very Large Scale Data Mining - Wrobel, Wettschereck.. Self-citation (Siebes) (Correct)
.... space manager (SSM) a module that is responsible for persistently storing the state of the search of different 2 A co worker accidentally turned off a workstation that had run a week long analysis task almost to completion 3 Some of the principles underlying the architecture can be found in [13]. Search Space Manager Quality Computer Mining Conductor Human Computer Interface Mining Server Mining Database User Search Module Description Generator Figure 1: The persistent search space architecture data mining search modules. The SSM is capable of persistently storing hypothesis objects ....
Arno Siebes. Data surveying, foundations of an inductive query language. In Fayyad and Uthurusamy
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