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Abstract
Attribute Oriented Induction High level Emerging Pattern (AOI-HEP) has been proven can mine frequent and similar patterns and the finding AOI-HEP patterns will be underlined with confidence mining pattern for each AOI-HEP pattern either frequent or similar pattern, and each dataset as con fidence AOIHEP pattern between frequent and similar patterns. Confidence per AOI-HEP pattern will show how interested each of AOI-HEP pattern, whilst confidende per dataset will show how interested each dataset between frequent and similar patterns. The experiments for finding confidence of each AOI-HEP pattern showed that AOI-HEP pattern with growthrate under and above 1 will be recognized as uninterested and interested AOI-HEP mining pattern since having confidence AOI-HEP mining pattern under and above 50% respectively. Furthermore, the uniterested AOI-HEP mining pattern which usually found in AOI-HEP similar pattern, can b e switched to interested AOI-HEP mining pattern by switching their support positive and negative value scores.
Keywords: data mining, AOI-HEP mining pattern, confidence similar pattern, confidence frequent pattern, confidence pattern.
Copyright © 2018 Universitas Ahmad Dahlan. All rights reserved.
1.Introduction
Attribute Oriented Induction High level Emerging Pattern (AOI-HEP)[1] has been proven as data mining algorithm which can mine AOI-HEP frequent and similar patterns [2],[4]. AOIHEP frequent pattern is recognized when have maximum subsumption target (superset) into contrasting (subset) datasets (contrasting c target) and having large High Emerging Pattern (HEP) growth rate and support in target dataset [2]. Whilst AOI-HEP similar pattern will be mined from dataset where number of attributes similarity are full or dominant/frequent and the number of similarity with ANY values are infrequent [4]. AOI-HEP as data mining technique has opportunity to be more explored such as inverse discovery learning, learning more than 2 datasets, multidimensional view, learning other knowledge rules and so on [3]. The current finding AOI-HEP patterns cannot be measured in term of confidence the finding AOI-HEP patterns either for each AOI-HEP pattern or dataset. The exploration of confidence AOI-HEP patterns will be explored in order to give confidence mining pattern for each AOI-HEP pattern either for frequent or similar pattern, and each dataset as confidence AOI-HEP pattern between frequent and similar patterns.
2.Confidence of Finding Pattern with Emerging Pattern Data Mining Algorithm
In Emerging Pattern (EP), the confidence of finding pattern is formulated with...





