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Title:
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TEMPORAL DATA CLASSIFICATION USING K-MEANS AND DECISION TREES |
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Author(s):
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Shih Yin Ooi, Shing Chiang Tan, Wooi Ping Cheah |
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ISBN:
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978-989-8533-14-2 |
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Editors:
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Hans Weghorn and Pedro Isaías |
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Year:
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2012 |
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Edition:
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Single |
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Keywords:
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Temporal data classification, decision trees, k-means, C4.5. |
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Type:
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Full Paper |
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First Page:
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131 |
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Last Page:
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138 |
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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 temporal history of data is usually overlooked in the machine learning area. In fact, by looking at the data history, one may discover the repetitive features are useful to predict a more accurate future value if they are properly mined. In this paper, a new temporal classification is proposed by integrating k-means and decision trees. The proposed algorithm is tested on ozone level detection dataset from UCI Machine Learning repository with 2536 instances collected from year 1998 to 2004. |
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