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The following topics are dealt with: reliability; knowledge discovery; domain driven data mining; complex data mining; spatial data mining; spatio-temporal data mining; high performance data mining; data mining foundations; semantic aspects; video mining; marketing; design data mining; and dynamic networks.
In data mining post-processing, rule selection using objective rule evaluation indices is one of a useful method to find out valuable knowledge from mined patterns. However, the relationship between an index value and experts' criteria has never been clarified. In this study, we have compared the accuracies of classification learning algorithms for datasets with randomized class distributions and...
Association rules is a technique that can detect patterns within the items of a dataset. The constrained version applies several restrictions that reduces the number of rules and also helps improve performance. On the other hand, OLAP statistical tests is an integration of exploratory On-Line Analytical Processing techniques and statistical tests. It uses a different approach that make it more appropriate...
Reliability is one of the key issues in data mining. In the case of massive protein mass spectrum data from SELDI-TOF-MS, this paper proposes an effective and reliable method to extract tumor markers. First of all, an adaptive threshold approach based on wavelet transformation is put forward to eliminate the noise in raw data so as to furnish reliable foundation for tumor markers extraction. Then...
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