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Title:
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TIME-SERIES DATAMINING SYSTEM WITH ANNOTATED INFORMATION |
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Author(s):
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Hiroto Hoshino, Hiroshi Sugimura, Kazunori Matsumoto |
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ISBN:
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978-972-8939-83-0 |
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Editors:
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Miguel Baptista Nunes, Pedro Isaías and Philip Powell |
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Year:
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2013 |
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Edition:
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Single |
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Keywords:
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Data mining, annotation, meta data, knowledge engineering, query language |
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Type:
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Poster/Demonstration |
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First Page:
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382 |
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Last Page:
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384 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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The purpose of this study is a development of a flexible datamining system which exploits mainly over numerical time-series data. The first step of this task requires processing of data from various points of view. For this purpose we develop time-series manipulation language TQL, which can operate over patterns in time-series data. We show an outline of the language. Another point of this study is a use of annotated information, which is obtained semi-automatically from the Web space. In most cases data, on which we carry out datamining, have back ground information. We propose a mechanism to search related short text information, which is called annotations, against specified points or intervals of time-series data. We show a method that carries out datamining with collected annotations. |
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