- Agnieszka Dardzinska-Glebocka, Malgorzata Zdrodowska:
Analysis children with disabilities self-care problems based on selected data mining techniques. KES 2021: 2854-2862 - Karen D. Wang, Shima Salehi, Max Arseneault, Krishnan Nair, Carl E. Wieman:
Automating the Assessment of Problem-solving Practices Using Log Data and Data Mining Techniques. L@S 2021: 69-76 - Ali Hamdi, Khaled B. Shaban, Abdelkarim Erradi, Amr Mohamed, Shakila Khan Rumi, Flora D. Salim:
Spatiotemporal Data Mining: A Survey on Challenges and Open Problems. CoRR abs/2103.17128 (2021) - Tanya Aghazadeh, Mostafa Bagheri:
Investigating myocardial infarction and its effects in patients with urgent medical problems using advanced data mining tools. CoRR abs/2112.07890 (2021) - 2020
- Hiba Belhadi, Karima Akli-Astouati, Youcef Djenouri, Jerry Chun-Wei Lin:
Data mining-based approach for ontology matching problem. Appl. Intell. 50(4): 1204-1221 (2020) - Marcelo Rodrigues de Holanda Maia, Alexandre Plastino, Puca Huachi Vaz Penna:
MineReduce: An approach based on data mining for problem size reduction. Comput. Oper. Res. 122: 104995 (2020) - Saman Forouzandeh, Atae Rezaei Aghdam, Soran Forouzandeh, Shuxiang Xu:
Addressing the Cold-Start Problem Using Data Mining Techniques and Improving Recommender Systems by Cuckoo Algorithm: A Case Study of Facebook. Comput. Sci. Eng. 22(4): 62-73 (2020) - Marcos A. Guerine, Isabel Rosseti, Alexandre Plastino:
A hybrid data mining heuristic to solve the point-feature cartographic label placement problem. Int. Trans. Oper. Res. 27(2): 1189-1209 (2020) - Hui-Chi Chuang, Chih-Chuan Chen, Sheng-Tun Li:
Incorporating monotonic domain knowledge in support vector learning for data mining regression problems. Neural Comput. Appl. 32(15): 11791-11805 (2020) - Mohammed H. Ibrahim, Mehmet Hacibeyoglu:
A novel switching function approach for data mining classification problems. Soft Comput. 24(7): 4941-4957 (2020) - Zayar Aung, Mikhaylov Ilya Sergeevich, Ye Thu Aung:
Data Mining Methods for Solving Classification Problem of Oil Wells. BDET 2020: 40-44 - Lina Leghrari, Noussaima El Khattabi, Belaïd Ahiod, Youssef Elbenani:
Mining Tourism as An Orienteering Problem: A Real-World Data Case. GOL 2020: 1-5 - Zayar Aung, Mihailov Ilya Sergeevich, Ye Thu Aung:
Data Mining to Solve Oil Well Problems. ICCA 2020: 1-5 - Mohamed A. Tawhid, Abdel-Monem M. Ibrahim:
Hybrid Binary Particle Swarm Optimization and Flower Pollination Algorithm Based on Rough Set Approach for Feature Selection Problem. Nature-Inspired Computation in Data Mining and Machine Learning 2020: 249-273 - Marcelo Rodrigues de Holanda Maia, Alexandre Plastino, Puca Huachi Vaz Penna:
MineReduce: an approach based on data mining for problem size reduction. CoRR abs/2005.07415 (2020) - Juan Camilo Fonseca Galindo, Gabriela de Castro Surita, José Maia Neto, Cristiano Leite de Castro, André Paim Lemos:
A Multi-Agent System for Solving the Dynamic Capacitated Vehicle Routing Problem with Stochastic Customers using Trajectory Data Mining. CoRR abs/2009.12691 (2020) - 2019
- Guozhu Dong:
Exploiting the Power of Group Differences: Using Patterns to Solve Data Analysis Problems. Synthesis Lectures on Data Mining and Knowledge Discovery, Morgan & Claypool Publishers 2019, ISBN 978-3-031-00785-9 - Eiji Kano, Kazuhiko Tsuda:
Use of a text mining method for classifying citizen report data and analyzing the occurrence trend of local problems. Artif. Intell. Res. 8(2): 1- (2019) - Bruno Samways dos Santos, Maria Teresinha Arns Steiner, Amanda Trojan Fenerich, Rafael Henrique Palma Lima:
Data mining and machine learning techniques applied to public health problems: A bibliometric analysis from 2009 to 2018. Comput. Ind. Eng. 138 (2019) - Alvaro Neuenfeldt Júnior, Elsa Silva, Antonio Miguel Gomes, Carlos Soares, José Fernando Oliveira:
Data mining based framework to assess solution quality for the rectangular 2D strip-packing problem. Expert Syst. Appl. 118: 365-380 (2019) - Farid Bourennani:
Solving Heterogeneous Big Data Mining Problems Using Multi-Objective Optimization. Int. J. Appl. Metaheuristic Comput. 10(4): 18-37 (2019) - Christian von Lücken, Carlos A. Brizuela, Benjamín Barán:
An overview on evolutionary algorithms for many-objective optimization problems. WIREs Data Mining Knowl. Discov. 9(1) (2019) - Eshref Januzaj, Visar Januzaj, Peter Mandl:
An Application of Distributed Data Mining to Identify Data Quality Problems. iiWAS 2019: 418-422 - Eiji Kano, Yoshikatsu Fujita, Kazuhiko Tsuda:
A Method of Extracting and Classifying Local Community Problems from Citizen-Report Data using Text Mining. KES 2019: 1347-1356 - Ítalo Gomes Santana:
Improving a State-of-the-Art Heuristic for the Minimum Latency Problem with Data Mining. CoRR abs/1908.10705 (2019) - 2018
- Gowtham Atluri, Anuj Karpatne, Vipin Kumar:
Spatio-Temporal Data Mining: A Survey of Problems and Methods. ACM Comput. Surv. 51(4): 83:1-83:41 (2018) - Youcef Djenouri, Djamel Djenouri, Zineb Habbas, Asma Belhadi:
How to exploit high performance computing in population-based metaheuristics for solving association rule mining problem. Distributed Parallel Databases 36(2): 369-397 (2018) - Fabian Trautsch, Steffen Herbold, Philip Makedonski, Jens Grabowski:
Addressing problems with replicability and validity of repository mining studies through a smart data platform. Empir. Softw. Eng. 23(2): 1036-1083 (2018) - Hanjun Lee, Keunho Choi, Donghee Yoo, Yongmoo Suh, Soowon Lee, Guijia He:
Recommending valuable ideas in an open innovation community: A text mining approach to information overload problem. Ind. Manag. Data Syst. 118(4): 683-699 (2018) - Marcelo Rodrigues de Holanda Maia, Alexandre Plastino, Puca Huachi Vaz Penna:
Hybrid data mining heuristics for the heterogeneous fleet vehicle routing problem. RAIRO Oper. Res. 52(3): 661-690 (2018)