کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
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395011 | 665924 | 2008 | 14 صفحه PDF | دانلود رایگان |

There have been many approaches used to discover useful information patterns from databases, such as concept description, associations, sequential patterns, classification, clustering, and deviation detection. This paper proposes a new type of information pattern, called a typical pattern, which is a small subset of objects selected from a large dataset that provides a compact and suitable representation of the original dataset. The Typical Patterns Mining (TPM) algorithm is developed to mine typical patterns from databases. Extensive experiments are carried out using a real dataset to demonstrate the usefulness of typical patterns in practical situations. The experimental results indicate that TPM is a computationally efficient method and that typical patterns can provide a compact and suitable representation of the original dataset.
Journal: Information Sciences - Volume 178, Issue 19, 1 October 2008, Pages 3683–3696