國立虎尾科技大學 |

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 /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Recent advances on soft computing and data mining/ edited by Rozaida Ghazali ... [et al.].
其他題名:	proceedings of the sixth International Conference on Soft Computing and Data Mining (SCDM 2024), August 21-22, 2024 /
其他題名:	SCDM 2024
其他作者:	Ghazali, Rozaida.
團體作者:	Workshop on the Preservation of Stability under Discretization
出版者:	Cham :Springer Nature Switzerland : : 2024.,
面頁冊數:	xvii, 435 p. :ill., digital ; : 24 cm.;
Contained By:	Springer Nature eBook
標題:	Artificial Intelligence. -
電子資源:	https://doi.org/10.1007/978-3-031-66965-1
ISBN:	9783031669651

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 miningproceedings of the sixth International Conference on Soft Computing and Data Mining (SCDM 2024), August 21-22, 2024 /[electronic resource] :SCDM 2024edited by Rozaida Ghazali ... [et al.]. - Cham :Springer Nature Switzerland :2024. - xvii, 435 p. :ill., digital ;24 cm. - Lecture notes in networks and systems,10782367-3389 ;. - Lecture notes in networks and systems ;v.1..

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.

ISBN: 9783031669651

Standard No.: 10.1007/978-3-031-66965-1doiSubjects--Topical Terms:

646849
Artificial Intelligence.

LC Class. No.: QA76.9.S63

Dewey Class. No.: 006.3

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 /
LDR:02376nam a2200337 a 4500 001 1134155
003 DE-He213
005 20240730130241.0
006 m d
007 cr nn 008maaau
008 241213s2024 sz s 0 eng d
020 $a 9783031669651 $q (electronic bk.)
020 $a 9783031669644 $q (paper)
024 7 $a 10.1007/978-3-031-66965-1 $2 doi
035 $a 978-3-031-66965-1
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.9.S63
072 7 $a UYQ $2 bicssc
072 7 $a COM004000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 006.3 $2 23
090 $a QA76.9.S63 $b S288 2024
111 2 $a Workshop on the Preservation of Stability under Discretization $d (2001 : $c Fort Collins, Colo.) $3 527686
245 1 0 $a Recent advances on soft computing and data mining $h [electronic resource] : $b proceedings of the sixth International Conference on Soft Computing and Data Mining (SCDM 2024), August 21-22, 2024 / $c edited by Rozaida Ghazali ... [et al.].
246 3 $a SCDM 2024
260 $a Cham : $c 2024. $b Springer Nature Switzerland : $b Imprint: Springer,
300 $a xvii, 435 p. : $b ill., digital ; $c 24 cm.
490 1 $a Lecture notes in networks and systems, $x 2367-3389 ; $v 1078
520 $a 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.
650 2 4 $a Artificial Intelligence. $3 646849
650 2 4 $a Data Engineering. $3 1226308
650 1 4 $a Computational Intelligence. $3 768837
650 0 $a Human-computer interaction $v Congresses. $3 670020 $3 727799
650 0 $a Pattern recognition systems $v Congresses. $3 568203 $3 727337
650 0 $a Evolutionary computation $v Congresses. $3 674859 $3 727789
650 0 $a Data mining $v Congresses. $3 528575
650 0 $a Soft computing $v Congresses. $3 671441 $3 727809
700 1 $a Ghazali, Rozaida. $e editor. $3 1282685
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
830 0 $a Lecture notes in networks and systems ; $v v.1. $3 1107910
856 4 0 $u https://doi.org/10.1007/978-3-031-66965-1
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)