Information mining is a mature expertise. The prediction challenge, searching for predictive styles in info, has been broadly studied. robust me- ods can be found to the practitioner. those equipment procedure established numerical details, the place uniform measurements are taken over a pattern of information. textual content is usually defined as unstructured details. So, it should look, textual content and numerical information are diverse, requiring assorted equipment. Or are they? In our view, a prediction challenge may be solved by way of a similar tools, no matter if the information are based - merical measurements or unstructured textual content. textual content and files will be reworked into measured values, similar to the presence or absence of phrases, and a similar tools that experience confirmed winning for pred- tive info mining could be utilized to textual content. but, there are key alterations. overview strategies has to be tailored to the chronological order of ebook and to replacement measures of mistakes. as the information are records, extra really good analytical equipment will be most popular for textual content. furthermore, the equipment needs to be modi?ed to house very excessive dimensions: tens of millions of phrases and records. nonetheless, the crucial subject matters are related.
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