Asian Journal of Computer Science and Technology (AJCST)
Mining Sequential Pattern of Data in Textual Document Using Data Mining Classification TechniqueAuthor : J. Jayasudha and A. Christina Esther
Volume 8 No.1 Special Issue:February 2019 pp 41-45
Text document were transmitted over the internet for the text communication. So they were occurred many problems like repeated text occurred because of same data were provided in the internet. To characterize and extracting that is a most critical task for the researchers. Many researchers were characterized and applied in many fields like real-life scenarios, such as real-time monitoring on abnormal user behaviors, etc. In this case to detect and characterize the personalized behavior of the user were provide some drawbacks. To solve this problem, this paper analyzing the sequential data and characterize the user behavior with the help of the data mining sequential pattern matching algorithm.
Text Mining, Textual Document, Sequential Analyses, Personalize and Abnormal Behavior
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