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Publication search results
found 113 matches
- 2023
- Enrico Barbierato, Andrea Pozzi, Daniele Tessera:
Controlling Bias Between Categorical Attributes in Datasets: A Two-Step Optimization Algorithm Leveraging Structural Equation Modeling. IEEE Access 11: 115493-115510 (2023) - Pei Wang, Qinli Zhang, Witold Pedrycz, Zhaowen Li, Ching-Feng Wen:
Uncertainty measurement of partially labeled categorical data with application to semi-supervised attribute reduction. Artif. Intell. Rev. 56(12): 14731-14764 (2023) - Jiali He, Gangqiang Zhang, Dan Huang, Pei Wang, Guangji Yu:
Measures of uncertainty for partially labeled categorical data based on an indiscernibility relation: an application in semi-supervised attribute reduction. Appl. Intell. 53(23): 29486-29513 (2023) - Zupeng Liang, Shengfen Ji, Qiude Li, Sigui Hu, Yang Yu:
An attribute-weighted isometric embedding method for categorical encoding on mixed data. Appl. Intell. 53(22): 26472-26496 (2023) - Dan Huang, Qinli Zhang, Zhaowen Li:
Semi-supervised attribute reduction for partially labeled categorical data based on predicted label. Int. J. Approx. Reason. 154: 242-261 (2023) - Saurabh Pal:
Prediction for chronic kidney disease by categorical and non_categorical attributes using different machine learning algorithms. Multim. Tools Appl. 82(26): 41253-41266 (2023) - Carlos Mougan, José Manuel Álvarez Colmenares, Salvatore Ruggieri, Steffen Staab:
Fairness Implications of Encoding Protected Categorical Attributes. AIES 2023: 454-465 - Oluwafemi Oriola, Eduan Kotzé, Ojonoka Atawodi:
A Feature Selection Method Based on Rough Set Attribute Reduction and Classical Filter-Based Feature Selection for Categorical Data Classification. ICAI 2023: 3-15 - 2022
- Jiali He, Liangdong Qu, Zhihong Wang, Yiying Chen, Damei Luo, Ching-Feng Wen:
Attribute reduction in an incomplete categorical decision information system based on fuzzy rough sets. Artif. Intell. Rev. 55(7): 5313-5348 (2022) - Pradeep Kumar Singh, Pijush Kanti Dutta Pramanik, Prasenjit Choudhury:
Mitigating sparsity using Bhattacharyya Coefficient and items' categorical attributes: improving the performance of collaborative filtering based recommendation systems. Appl. Intell. 52(5): 5513-5536 (2022) - Shahla Faisal, Gerhard Tutz:
Nearest neighbor imputation for categorical data by weighting of attributes. Inf. Sci. 592: 306-319 (2022) - Yiqun Zhang, Yiu-ming Cheung:
Learnable Weighting of Intra-Attribute Distances for Categorical Data Clustering with Nominal and Ordinal Attributes. IEEE Trans. Pattern Anal. Mach. Intell. 44(7): 3560-3576 (2022) - Luís Miguel Matos, João Azevedo, Arthur Matta, André Luiz Pilastri, Paulo Cortez, Rui Mendes:
Categorical Attribute traNsformation Environment (CANE): A python module for categorical to numeric data preprocessing. Softw. Impacts 13: 100359 (2022) - Hong Jia, Weiwei Zhong:
Clustering Algorithm with Learnable Distance for Categorical Data with Nominal and Ordinal Attributes. DSIT 2022: 1-5 - Yiqun Zhang, Yiu-ming Cheung, An Zeng:
Het2Hom: Representation of Heterogeneous Attributes into Homogeneous Concept Spaces for Categorical-and-Numerical-Attribute Data Clustering. IJCAI 2022: 3758-3765 - Daniel-Jesus Munoz, Mónica Pinto, Dilian Gurov, Lidia Fuentes:
Defining categorical reasoning of numerical feature models with feature-wise and variant-wise quality attributes. SPLC (B) 2022: 132-139 - Carlos Mougan, José M. Álvarez, Gourab K. Patro, Salvatore Ruggieri, Steffen Staab:
Fairness implications of encoding protected categorical attributes. CoRR abs/2201.11358 (2022) - 2021
- Qinli Zhang, Yiying Chen, Gangqiang Zhang, Zhaowen Li, Lijun Chen, Ching-Feng Wen:
New uncertainty measurement for categorical data based on fuzzy information structures: An application in attribute reduction. Inf. Sci. 580: 541-577 (2021) - Zakariae El Ouazzani, An Braeken, Hanan El Bakkali:
Proximity Measurement for Hierarchical Categorical Attributes in Big Data. Secur. Commun. Networks 2021: 6612923:1-6612923:17 (2021) - Toan Nguyen Mau, Van-Nam Huynh:
Automated Attribute Weighting Fuzzy k-Centers Algorithm for Categorical Data Clustering. MDAI 2021: 205-217 - Xu Yuan, Dongsheng Duan, Lingling Tong, Lei Shi, Cheng Zhang:
ICAI-SR: Item Categorical Attribute Integrated Sequential Recommendation. SIGIR 2021: 1687-1691 - 2020
- Liqin Yu, Fuyuan Cao, Xingwang Zhao, Xiaodan Yang, Jiye Liang:
Combining attribute content and label information for categorical data ensemble clustering. Appl. Math. Comput. 381: 125280 (2020) - Youru Li, Zhenfeng Zhu, Haiyan Wu, Silu Ding, Yao Zhao:
CCAE: Cross-field categorical attributes embedding for cancer clinical endpoint prediction. Artif. Intell. Medicine 107: 101915 (2020) - Qiude Li, Qingyu Xiong, Shengfen Ji, Min Gao, Yang Yu, Chao Wu:
Multi-view heterogeneous fusion and embedding for categorical attributes on mixed data. Soft Comput. 24(14): 10843-10863 (2020) - Changzhong Wang, Yan Wang, Mingwen Shao, Yuhua Qian, Degang Chen:
Fuzzy Rough Attribute Reduction for Categorical Data. IEEE Trans. Fuzzy Syst. 28(5): 818-830 (2020) - S. Priya, S. Selvakumar, R. Leela Velusamy:
Detection of Phishing Attacks using Radial Basis Function Network Trained for Categorical Attributes. ICCCNT 2020: 1-6 - 2019
- Barry R. Cobb, Linda Li:
Bayesian network model for quality control with categorical attribute data. Appl. Soft Comput. 84 (2019) - Orlando Muñoz Texzocotetla, René MacKinney-Romero:
An evolutionary-based approach for dealing with numerical and categorical attributes in ILP. Comput. Intell. 35(4): 827-857 (2019) - Ning Pang, Jifu Zhang, Chaowei Zhang, Xiao Qin, Jianghui Cai:
PUMA: Parallel subspace clustering of categorical data using multi-attribute weights. Expert Syst. Appl. 126: 233-245 (2019) - Korosh Koochekian Sabor, Abdelwahab Hamou-Lhadj, Abdelaziz Trabelsi, Jameleddine Hassine:
Predicting bug report fields using stack traces and categorical attributes. CASCON 2019: 224-233
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