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This paper proposes a mutual detection mechanism between spam blogs and keywords for filtering spam blogs from updated blog data. Spam blogs are problematic in extracting useful marketing information from the blogosphere; they often appear to be rich sources of information based on individual opinion and social
advertising investment is turned into the problem of the partition of the quality of the Web advertising keywords. The best clustering number and the clustering result of the Web advertising keyword are obtained by applying the effective genetic clustering algorithm for the partition of the keyword and then the investment
method on the basis of the skew detection. Then use OCR keywords recognition technology to classify spam faxes once again. This method is simple to implement with high accuracy, and it has applied successfully.
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.