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Discovering Categorical Main and Interaction Effects Based on
  Association Rule Mining

Discovering Categorical Main and Interaction Effects Based on Association Rule Mining

IEEE Transactions on Knowledge and Data Engineering (TKDE), 2021
10 April 2021
Qiuqiang Lin
Chuanhou Gao
ArXiv (abs)PDFHTMLGithub

Papers citing "Discovering Categorical Main and Interaction Effects Based on Association Rule Mining"

3 / 3 papers shown
Taming Identity Consistency and Prompt Diversity in Diffusion Models via Latent Concatenation and Masked Conditional Flow Matching
Taming Identity Consistency and Prompt Diversity in Diffusion Models via Latent Concatenation and Masked Conditional Flow MatchingIEEE Transactions on Artificial Intelligence (IEEE TAI), 2024
Aditi Singhania
Arushi Jain
Krutik Malani
Riddhi Dhawan
Souymodip Chakraborty
Vineet Batra
Ankit Phogat
DiffM
167
12
0
11 Nov 2025
Enabling Regional Explainability by Automatic and Model-agnostic Rule
  Extraction
Enabling Regional Explainability by Automatic and Model-agnostic Rule Extraction
Yu Chen
Tianyu Cui
Alexander Capstick
Nan Fletcher-Loyd
Payam Barnaghi
314
1
0
25 Jun 2024
Online Interaction Detection for Click-Through Rate Prediction
Online Interaction Detection for Click-Through Rate Prediction
Qiuqiang Lin
Chuanhou Gao
152
0
0
27 Jun 2021
1
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