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Publication search results
found 66 matches
- 2024
- Xiqin Ao, Weiwei Wu, Cuicui Meng, Aixiang He:
Study on Course Group based on Clustering Algorithm and Association Rules. ICSIM 2024: 71-76 - 2023
- Decheng Wang, Yan Chen:
Correlation Analysis of Computer Curriculums Based on Clustering and Association Rules. ICIEAI 2023: 294-299 - 2022
- Seyed Hassan Mirhashemi, Farhad Mirzaei:
Using combined clustering algorithms and association rules for better management of the amount of water delivered to the irrigation network of Abyek Plain, Iran. Neural Comput. Appl. 34(5): 3875-3883 (2022) - 2021
- Jamolbek Mattiev, Branko Kavsek:
Distance based clustering of class association rules to build a compact, accurate and descriptive classifier. Comput. Sci. Inf. Syst. 18(3): 791-811 (2021) - Shadi Al Shehabi, Abdullatif Baba:
MARC: Mining Association Rules from datasets by using Clustering models. CoRR abs/2107.08814 (2021) - 2020
- Yasmine Medjadba, Dan Hu, Wei Liu, Xianchuan Yu:
Combining Graph Clustering and Quantitative Association Rules for Knowledge Discovery in Geochemical Data Problem. IEEE Access 8: 40453-40473 (2020) - Danh Bui Thi, Pieter Meysman, Kris Laukens:
Clustering association rules to build beliefs and discover unexpected patterns. Appl. Intell. 50(6): 1943-1954 (2020) - Waeal J. Obidallah, Bijan Raahemi, Umar Ruhi:
Clustering and Association Rules for Web Service Discovery and Recommendation: A Systematic Literature Review. SN Comput. Sci. 1(1): 27:1-27:33 (2020) - Fenfen Xie, Lu Wang, Shoude Zhang, Lei Zhang, Xiaoying Wang:
Research on Key Molecules of Cold and Hot Properties Chinese Herbal Medicine Based on Improved Atomic Association Rules Algorithm and Hierarchical Clustering Algorithm. DSIT 2020: 65-70 - Jamolbek Mattiev, Branko Kavsek:
CMAC: Clustering Class Association Rules to Form a Compact and Meaningful Associative Classifier. LOD (1) 2020: 372-384 - 2019
- Leila Yousefi, Stephen Swift, Mahir Arzoky, Lucia Sacchi, Luca Chiovato, Allan Tucker:
Opening the Black Box: Exploring Temporal Pattern of Type 2 Diabetes Complications in Patient Clustering Using Association Rules and Hidden Variable Discovery. CBMS 2019: 198-203 - 2018
- Imane Belabed, Abdelmajid Belabed, Mohammed Talibi Alaoui, Youssef Talibi Alaoui:
Data mining approach based on clustering and association rules applicable to different fields. ICECOCS 2018: 1-5 - Zengzhen Shao, Yancong Li, Xiao Wang, Xuechen Zhao, Yanhui Guo:
Research on a New Automatic Generation Algorithm of Concept Map Based on Text Clustering and Association Rules Mining. ICIC (1) 2018: 479-490 - Renan de Padua, Laís Pessine do Carmo, Solange Oliveira Rezende, Veronica Oliveira de Carvalho:
An Analysis on Community Detection and Clustering Algorithms on the Post-Processing of Association Rules. IJCNN 2018: 1-7 - 2017
- Maryam Khanian Najafabadi, Mohd Naz'ri Mahrin, Suriayati Chuprat, Haslina Md Sarkan:
Improving the accuracy of collaborative filtering recommendations using clustering and association rules mining on implicit data. Comput. Hum. Behav. 67: 113-128 (2017) - Y. Jayababu, G. P. Saradhi Varma, A. Govardhan:
Mining Spatial Association Rules to Automatic Grouping of Spatial Data Objects Using Multiple Kernel-Based Probabilistic Clustering. J. Intell. Syst. 26(3): 561 (2017) - Tian Zhang, Changchuan Yin, Lin Pan:
Improved clustering and association rules mining for university student course scores. ISKE 2017: 1-6 - Veronica Oliveira de Carvalho, Davi Duarte de Paula, Mateus Violante Pacheco, Waldeilson Eder dos Santos, Renan de Padua, Solange Oliveira Rezende:
Ranking Association Rules by Clustering Through Interestingness. MICAI (1) 2017: 336-351 - Simon Fong, Robert P. Biuk-Aghai, Scarlet Tin:
Visual clustering-based apriori ARM methodology for obtaining quality association rules. VINCI 2017: 69-70 - 2016
- Nurseda Yildirim, Bahri Uzunoglu:
Data Mining via Association Rules for Power Ramps Detected by Clustering or Optimization. Trans. Comput. Sci. 28: 163-176 (2016) - Bo Liu, Guifen Chen:
The Association Rules Algorithm Based on Clustering in Mining Research in Corn Yield. CCTA 2016: 268-278 - Veronica Oliveira de Carvalho, Renan de Padua, Solange Oliveira Rezende:
Solving the Problem of Selecting Suitable Objective Measures by Clustering Association Rules Through the Measures Themselves. SOFSEM 2016: 505-517 - 2015
- Navid Sheydaei, Mohamad Saraee, Azar Shahgholian:
A novel feature selection method for text classification using association rules and clustering. J. Inf. Sci. 41(1): 3-15 (2015) - Bo Li, Zheng Pei, Keyun Qin:
Association Rules Mining Based on Clustering Analysis and Soft Sets. CIT/IUCC/DASC/PICom 2015: 675-680 - Nurseda Yildirim, Bahri Uzunoglu:
Association Rules for Clustering Algorithms for Data Mining of Temporal Power Ramp Balance. CW 2015: 224-228 - Qingyuan Wu, Qi Wu, Sidi Zhao, Mingxue Wei, Fu Lee Wang:
Knowledge Communication Analysis Based on Clustering and Association Rules Mining. DASFAA Workshops 2015: 66-75 - Jining Jia, Yongzai Lu, Jian Chu, Hongye Su:
Fuzzy Clustering-Based Quantitative Association Rules Mining in Multidimensional Data Set. ICSI (3) 2015: 68-75 - 2014
- Radim Belohlávek, Dhouha Grissa, Sylvie Guillaume, Engelbert Mephu Nguifo, Jan Outrata:
Boolean factors as a means of clustering of interestingness measures of association rules. Ann. Math. Artif. Intell. 70(1-2): 151-184 (2014) - Xin Dong, Dechang Pi:
An Effective Method for Mining Quantitative Association Rules with Clustering Partition in Satellite Telemetry Data. CBD 2014: 26-33 - Shen Song, Jim Warren, Patricia Riddle:
Profiling Cardiovascular Disease Event Risk through Clustering of Classification Association Rules. CBMS 2014: 294-299
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