Proceedings of Symposium on Data Mining Applications 2014

Autor:	Qureshi, Basit, Javed, Yasir
Rok vydání:	2020
Předmět:	Computer Science - Databases Computer Science - Artificial Intelligence J.7 B.8 E.4
Druh dokumentu:	Working Paper
Popis:	The Symposium on Data Mining and Applications (SDMA 2014) is aimed to gather researchers and application developers from a wide range of data mining related areas such as statistics, computational intelligence, pattern recognition, databases, Big Data Mining and visualization. SDMA is organized by MEGDAM to advance the state of the art in data mining research field and its various real world applications. The symposium will provide opportunities for technical collaboration among data mining and machine learning researchers around the Saudi Arabia, GCC countries and Middle-East region. Acceptance will be based primarily on originality, significance and quality of contribution. Comment: Proceedings of Symposium on Data Mining Applications 2014
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2001.11324 Zobrazit plný text záznamu View this record from Arxiv