Abstract
There exists a great variety of tools and applications designed for data mining and knowledge discovery. Historically, from the 1970s, a number of available tools continues to grow. For this reason, a potential user may have difficulties when trying to choose an appropriate tool for himself. Similarly, when it comes to the implementation and evaluation of newly proposed data mining algorithm, an author needs to consider how to verify his proposal. Usually, a new algorithm or a method is implemented and tested without using any standardized software library and tested by means of an ad hoc created software. This causes difficulties in case when there is a need to compare efficiency of two methods implemented using different techniques. The aim of the paper is to present a prototype implementation of a data mining system (CDM) based on the Java Data Mining standard (JDM) that provides standardized methods designed for convenient implementation and verification of data mining algorithms.
An Erratum for this chapter can be found at http://dx.doi.org/10.1007/978-3-319-07013-1_51
An erratum to this chapter can be found at http://dx.doi.org/10.1007/978-3-319-07013-1_51
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Lasek, P. (2014). CDM: A Prototype Implementation of the Data Mining JDM Standard. In: Zamojski, W., Mazurkiewicz, J., Sugier, J., Walkowiak, T., Kacprzyk, J. (eds) Proceedings of the Ninth International Conference on Dependability and Complex Systems DepCoS-RELCOMEX. June 30 – July 4, 2014, Brunów, Poland. Advances in Intelligent Systems and Computing, vol 286. Springer, Cham. https://doi.org/10.1007/978-3-319-07013-1_29
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DOI: https://doi.org/10.1007/978-3-319-07013-1_29
Publisher Name: Springer, Cham
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