Using Multi-Conditional Minimum Thresholds in Temporal Fuzzy Utility Mining
- DOI
- 10.2991/ijcis.d.190426.001How to use a DOI?
- Keywords
- Fuzzy data mining; fuzzy set; Temporal fuzzy utility mining; Multiple thresholds; Extended two-phase model
- Abstract
In the field of fuzzy utility mining, the characteristics of transaction time have been a widely studied topic in data mining. However, using a single-conditional threshold for all items does not suffice to reflect the true properties of items. This paper, therefore, proposes a multi-conditional minimum threshold approach which considers the temporal behavior, the importance in items, and the usage of linguistic terms to mine high temporal fuzzy utility itemsets. The multi-conditional minimum thresholds are utilized to assist users in deciding appropriate standards for itemsets in mining when its contained items have different importance. An extended two-phase model and a corresponding mining approach are designed to handle the temporal fuzzy utility mining problem with the multi-conditional minimum thresholds. Finally, the results from the experimental evaluation show the effectiveness of the proposed approach under different settings.
- Copyright
- © 2019 The Authors. Published by Atlantis Press SARL.
- Open Access
- This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).
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TY - JOUR AU - Wei-Ming Huang AU - Tzung-Pei Hong AU - Ming-Chao Chiang AU - Jerry Chun-Wei Lin PY - 2019 DA - 2019/05/11 TI - Using Multi-Conditional Minimum Thresholds in Temporal Fuzzy Utility Mining JO - International Journal of Computational Intelligence Systems SP - 613 EP - 626 VL - 12 IS - 2 SN - 1875-6883 UR - https://doi.org/10.2991/ijcis.d.190426.001 DO - 10.2991/ijcis.d.190426.001 ID - Huang2019 ER -