Many real-world data mining problems involve data best represented as sequences. Sequence data comes in many forms, including: 1) human communication such as speech, handwriting, and printed text; 2) time series such as stock market prices, temperature readings and web-click streams; and 3) biological sequences such as DNA, RNA and proteins. Sequence data in all domains contains useful ���signals,��� or features, that enable the construction of classification algorithms. Show
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