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Integration of Data Mining and Data Warehousing: A Practical Methodology
2010
International Journal of Advancements in Computing Technology
The ever growing repository of data in all fields poses new challenges to the modern analytical systems. Real-world datasets, with mixed numeric and nominal variables, are difficult to analyze and require effective visual exploration that conveys semantic relationships of data. Traditional data mining techniques such as clustering clusters only the numeric data. Little research has been carried out in tackling the problem of clustering high cardinality nominal variables to get better insight of
doi:10.4156/ijact.vol2.issue3.4
fatcat:jsmrrhak3vhefl2psd6wewstta