Recent Advances on Soft Computing and Data Mining Proceedings of the Sixth International Conference on Soft Computing and Data Mining (SCDM 2024), August 21-22, 2024 /
Recent Advances on Soft Computing and Data Mining Proceedings of the Sixth International Conference on Soft Computing and Data Mining (SCDM 2024), August 21-22, 2024 / [electronic resource] :
edited by Rozaida Ghazali, Nazri Mohd Nawi, Mustafa Mat Deris, Jemal H. Abawajy, Nureize Arbaiy.
- 1st ed. 2024.
- XVII, 435 p. 192 illus., 140 illus. in color. online resource.
- Lecture Notes in Networks and Systems, 1078 2367-3389 ; .
- Lecture Notes in Networks and Systems, 1078 .
This book explores methods for leveraging data to create innovative solutions that offer significant and meaningful value. It provides practical insights into the concepts and techniques essential for maximizing the outcomes of large-scale research and data mining projects. Readers are guided through analytical thinking processes, addressing challenges in deciphering complex data systems and deriving commercial value from the data. Soft computing and data mining, also known as data-driven science, encompass a diverse range of interdisciplinary scientific methods and processes. The proceedings of "Recent Advances on Soft Computing and Data Mining" provide comprehensive knowledge to address various challenges encountered in complex systems. By integrating practices and applications from both domains, it offers a robust framework for tackling these issues. To excel in data-driven ecosystems, researchers, data analysts, and practitioners must carefully select the most suitable approaches and tools. Understanding the design choices and options available is essential for appreciating the underlying concepts, tools, and techniques utilized in these endeavors.
9783031669651
Computational intelligence.
Engineering--Data processing.
Artificial intelligence.
Computational Intelligence.
Data Engineering.
Artificial Intelligence.
Q342
006.3
This book explores methods for leveraging data to create innovative solutions that offer significant and meaningful value. It provides practical insights into the concepts and techniques essential for maximizing the outcomes of large-scale research and data mining projects. Readers are guided through analytical thinking processes, addressing challenges in deciphering complex data systems and deriving commercial value from the data. Soft computing and data mining, also known as data-driven science, encompass a diverse range of interdisciplinary scientific methods and processes. The proceedings of "Recent Advances on Soft Computing and Data Mining" provide comprehensive knowledge to address various challenges encountered in complex systems. By integrating practices and applications from both domains, it offers a robust framework for tackling these issues. To excel in data-driven ecosystems, researchers, data analysts, and practitioners must carefully select the most suitable approaches and tools. Understanding the design choices and options available is essential for appreciating the underlying concepts, tools, and techniques utilized in these endeavors.
9783031669651
Computational intelligence.
Engineering--Data processing.
Artificial intelligence.
Computational Intelligence.
Data Engineering.
Artificial Intelligence.
Q342
006.3
