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Conclusions

In: Data Mining and Knowledge Discovery via Logic-Based Methods

Author

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  • Evangelos Triantaphyllou

    (Louisiana State University)

Abstract

Each of the previous chapters ends with a section with some concluding remarks tailored to the contents of the particular chapter. This section provides some comprehensive concluding remarks. As was mentioned earlier, there are many approaches to sub data mining data mining and sub knowledge discovery, see data mining knowledge discovery from data sets. Such approaches include sub neural networks neural networks, closest neighbor methods, and various statistical methods. However, such approaches may have some severe limitations for a number of reasons.

Suggested Citation

  • Evangelos Triantaphyllou, 2010. "Conclusions," Springer Optimization and Its Applications, in: Data Mining and Knowledge Discovery via Logic-Based Methods, chapter 0, pages 309-315, Springer.
    • Handle: RePEc:spr:spochp:978-1-4419-1630-3_17
    DOI: 10.1007/978-1-4419-1630-3_17
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