Buch, Englisch, Band 700, 518 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 1107 g
Proceedings of the Third International Conference on Soft Computing and Data Mining (SCDM 2018), Johor, Malaysia, February 06-07, 2018
Buch, Englisch, Band 700, 518 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 1107 g
Reihe: Advances in Intelligent Systems and Computing
ISBN: 978-3-319-72549-9
Verlag: Springer International Publishing
This book offers a systematic overview of the concepts and practical techniques that readers need to get the most out of their large-scale data mining projects and research studies. It guides them through the data-analytical thinking essential to extract useful information and obtain commercial value from the data. Presenting the outcomes of International Conference on Soft Computing and Data Mining (SCDM-2017), held in Johor, Malaysia on February 6–8, 2018, it provides a well-balanced integration of soft computing and data mining techniques. The two constituents are brought together in various combinations of applications and practices. To thrive in these data-driven ecosystems, researchers, engineers, data analysts, practitioners, and managers must understand the design choice and options of soft computing and data mining techniques, and as such this book is a valuable resource, helping readers solve complex benchmark problems and better appreciate the concepts, tools, and techniquesemployed.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
An Improved Hybrid Firefly Algorithm for Solving Optimization Problems.- Classification of JPEG Files by Using Extreme Learning Machine.- A Relative Tolerance Relation of Rough Set for Incomplete Information Systems.- An Algorithm Design of Kansei Recommender System.- A Framework to Cluster Temporal Data Using Personalised Modelling Approach.- Fibonacci Polynomials Based Functional Link Neural Network for Classification Tasks.
