Full Citation

Title: Confidence of AOI-HEP Mining Pattern

Citation Type: Journal Article

Publication Year: 2018

ISBN:

ISSN: 2302-9293

DOI: 10.12928/telkomnika.v16i3.5303

NSFID:

PMCID:

PMID:

Abstract: Attrib ute Oriented Induction High level Emerging Pattern (AOI-HEP) has b een proven can mine frequent and similar patterns and the finding AOI-HEP patterns will b e underlined with confidence mining pattern for each AOI-HEP pattern either frequent or similar pattern, and each dataset as con fidence AOI-HEP pattern b etween 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 b etween frequent and similar patterns. The experiments for finding confidence of each AOI-HEP pattern showed that AOI-HEP pattern with growthrate under and ab ove 1 will b e recognized as uninterested and interested AOI-HEP mining pattern since having confidence AOI-HEP mining pattern under and ab ove 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 b y switching their support positive and negative value scores.

Url: https://media.proquest.com/media/hms/PFT/1/E3426?_s=SSBRdfMbzm4GU2DO6ODxjE%2B5ICM%3D

Url: http://journal.uad.ac.id/index.php/TELKOMNIKA/article/view/5303

User Submitted?: No

Authors: Spits Warnars, Harco Leslie Hendric; Trisetyarso, Agung; Randriatoamanana, Richard

Periodical (Full): TELKOMNIKA (Telecommunication Computing Electronics and Control)

Issue: 3

Volume: 16

Pages: 1217

Data Collections: IPUMS USA

Topics: Natural Resource Management

Countries: United States