Behavioural Analysis of Multi-Source Social Network Data Using Object-Centric Behavioural Constraints and Data Mining Technique

Autor: Priyam Das, Dhananjay Kalbande

Publikováno v: ICCCNT

Social media data or social data is the data generated by users of a social media platform. This significant amount of data produced by users shows their behavior on a particular platform, for example, Twitter, Facebook, and Instagram. Data mining te

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::dc81f61c142fbf294038208e91a25918
https://doi.org/10.1109/icccnt49239.2020.9225323

Survey on using constraints in data mining

Autor: Andrea Romei, Valerio Grossi, Franco Turini

This paper provides an overview of the current state-of-the-art on using constraints in knowledge discovery and data mining. The use of constraints in a data mining task requires specific definition and satisfaction tools during knowledge extraction.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7f5001661aeaddc68875cf6593fbb64e
http://hdl.handle.net/11568/855155

Learning Implicitly with Noisy Data in Linear Arithmetic

Autor: Vaishak Belle, Ionela G. Mocanu, Brendan Juba, Alexander Philipp Rader

Publikováno v: IJCAI
Rader, A P, Mocanu, I G, Belle, V & Juba, B 2021, Learning Implicitly with Noisy Data in Linear Arithmetic . in Proceedings of 30th International Joint Conference on Artificial Intelligence (IJCAI-21) . pp. 1410-1417, 30th International Joint Conference on Artificial Intelligence, Montreal, Quebec, Canada, 19/08/21 . https://doi.org/10.24963/ijcai.2021/195

Robust learning in expressive languages with real-world data continues to be a challenging task. Numerous conventional methods appeal to heuristics without any assurances of robustness. While probably approximately correct (PAC) Semantics offers stro

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::115e2814e841e5d05156bc740d4bb3b4

Monthly Hydropower Scheduling of Cascaded Reservoirs Using a Genetic Algorithm with a Simulation Procedure.

Autor: Baima, Deji¹ (AUTHOR) m202271622@hust.edu.cn, Qian, Guoyuan¹ (AUTHOR), Luo, Jingzhen¹ (AUTHOR), Wang, Pengcheng¹ (AUTHOR), Zheng, Hao² (AUTHOR) hustsdzh@outlook.com, Wang, Jinwen^3,4 (AUTHOR) dr.jinwen.wang@gmail.com

Publikováno v: Energies (19961073). Aug2024, Vol. 17 Issue 15, p3756. 17p.

频繁时序模式挖掘方法综述. (Chinese)

Autor: 唐增金, 徐贞顺, 苏梦瑶, 刘纳, 王振彪, 张文豪

Publikováno v: Journal of Computer Engineering & Applications; 9/1/2024, Vol. 60 Issue 17, p48-61, 14p