Lorna Uden (ed.); Leon S.L. Wang (ed.); Tzung-Pei Hong (ed.); Hsin-Chang Yang (ed.); I-Hsien Ting (ed.) Springer (2015) Saatavuus: Tilaustuote Pehmeäkantinen kirja
Lorna Uden (ed.); Leon S.L. Wang (ed.); Juan Manuel Corchado Rodríguez (ed.); Hsin-Chang Yang (ed.); I-Hsien Ting (ed.) Springer (2013) Saatavuus: Tilaustuote Kovakantinen kirja
Lorna Uden (ed.); Leon S.L. Wang (ed.); Tzung-Pei Hong (ed.); Hsin-Chang Yang (ed.); I-Hsien Ting (ed.) Springer (2013) Saatavuus: Tilaustuote Kovakantinen kirja
A. Kumar; Wen Jim Meng; Yang-Tse Cheng; Jeffrey S. Zabinski; Gary L. Doll; Stan Veprek Materials Research Society (2003) Saatavuus: Tilaustuote Kovakantinen kirja
Adam S. Wymore; Wendy H. Yang; Whendee L. Silver; William H. McDowell; Jon Chorover Springer Nature Switzerland AG (2022) Saatavuus: Tilaustuote Kovakantinen kirja
Adam S. Wymore; Wendy H. Yang; Whendee L. Silver; William H. McDowell; Jon Chorover Springer Nature Switzerland AG (2023) Saatavuus: Tilaustuote Pehmeäkantinen kirja
Springer Sivumäärä: 132 sivua Asu: Pehmeäkantinen kirja Julkaisuvuosi: 2015, 26.08.2015 (lisätietoa) Kieli: Englanti
These papers on Intelligent Data Analysis and Management (IDAM) examine issues related to the research and applications of Artificial Intelligence techniques in data analysis and management across a variety of disciplines. The papers derive from the 2013 IDAM conference in Kaohsiung ,Taiwan. It is an interdisciplinary research field involving academic researchers in information technologies, computer science, public policy, bioinformatics, medical informatics, and social and behavior studies, etc. The techniques studied include (but are not limited to): data visualization, data pre-processing, data engineering, database mining techniques, tools and applications, evolutionary algorithms, machine learning, neural nets, fuzzy logic, statistical pattern recognition, knowledge filtering, and post-processing, etc.
