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CMG
2001
15 years 8 months ago
Effective Use of the KDD Process and Data Mining for Computer Performance Professionals
- The KDD (Knowledge Discovery in Databases) paradigm is a step by step process for finding interesting patterns in large amounts of data. Data mining is one step in the process. T...
Susan P. Imberman
ICDE
2008
IEEE
132views Database» more  ICDE 2008»
16 years 8 months ago
IMPrECISE: Good-is-good-enough data integration
Abstract- IMPrECISE is an XQuery module that adds probabilistic XML functionality to an existing XML DBMS, in our case MonetDBlXQuery. We demonstrate probabilistic XML and data int...
Ander de Keijzer, Maurice van Keulen
ALT
2002
Springer
16 years 3 months ago
Data Mining with Graphical Models
Abstract. The explosion of data stored in commercial or administrational databases calls for intelligent techniques to discover the patterns hidden in them and thus to exploit all ...
Rudolf Kruse, Christian Borgelt
ATVA
2009
Springer
89views Hardware» more  ATVA 2009»
16 years 1 months ago
A Data Symmetry Reduction Technique for Temporal-epistemic Logic
We present a data symmetry reduction approach for model temporal-epistemic logic. The technique abstracts the epistemic indistinguishably relation for the knowledge operators, and ...
Mika Cohen, Mads Dam, Alessio Lomuscio, Hongyang Q...
178
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IEEEICCI
2006
IEEE
16 years 23 days ago
User-centered Interactive Data Mining
While many data mining models concentrate on automation and efficiency, interactive data mining models focus on adaptive and effective communications between human users and comp...
Yan Zhao, Yaohua Chen, Yiyu Yao