Efficient Multi-Relational Data Mining
نویسنده
چکیده
منابع مشابه
An efficient approach for effectual mining of relational patterns from multi-relational database
Data mining is an extremely challenging and hopeful research topic due to its well-built application potential and the broad accessibility of the massive quantities of data in databases. Still, the rising significance of data mining in practical real world necessitates ever more complicated solutions while data includes of a huge amount of records which may be stored in various tables of a rela...
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In this paper, Multi-relational data mining enables pattern mining from multiple tables. Multi-relational data mining algorithms can be used as practical proposal to overcome the deficiency of conventional algorithms. Multi-relational data mining algorithms directly extract frequent patterns from different registers in efficient manner without need of transfer the data in a single table will, o...
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Feature selection is an essential data processing step to remove irrelevant and redundant attributes for shorter learning time, better accuracy, and better comprehensibility. A number of algorithms have been proposed in both data mining and machine learning areas. These algorithms are usually used in a single table environment, where data are stored in one relational table or one flat file. The...
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The proliferation of multi-type relational datasets in a number of important real-world applications and the limitations resulting from the transformation of such datasets to fit propositional data mining approaches have led to the emergence of the discipline of multi-type relational data mining. Clustering is an important unsupervised learning task aimed at discovering structure inherent in da...
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Traditional data mining algorithms will not work efficiently for most of the real world applications where the data is stored in relational format. Even well-known traditional classification technique such as J48, Naïve Bayes often suffers from poor scalability and unsatisfactory predictive performance when it comes to working with relational data. Moreover the performance of existing relationa...
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تاریخ انتشار 2007