Data Analytics and Learning (eBook)
XIII, 252 Seiten
Springer Nature Singapore (Verlag)
978-981-99-6346-1 (ISBN)
This book presents new theories and working models in the areas of data analytics and learning. The papers included in this volume were presented at the second International Conference on Data Analytics and Learning (DAL 2022), which was organized by the Department of Computer Science & Engineering, Alva's Institute of Engineering & Technology, Moodbidri, Mangalore, Karnataka, India in association with the Department of Studies in Computer Science, University of Mysore, Mysuru, Karnataka, India. The areas covered include pattern recognition, image processing, deep learning, computer vision, data analytics, machine learning, artificial intelligence, and intelligent systems.
D.S. Guru received his B.Sc, M.Sc and PhD degrees in Computer Science and Technology from the University of Mysore, Mysore, India, in 1991, 1993 and 2000 respectively. He is currently a Professor in the Department of Studies in Computer Science, University of Mysore, India. He was a fellow of BOYSCAST and a visiting research scientist at Michigan State University. He has authored 65+ journals and 200+ peer reviewed conference papers at international and national levels. His area of research interest covers image retrieval, object recognition, shape analysis, sign language recognition, biometrics and symbolic data analysis.
Vinay Kumar N received his B.Sc, M.S and PhD degrees in Computer Science and Technology from the University of Mysore, Mysore, India, in 2009, 2012 and 2019 respectively. He is currently a Senior Data Scientist in the NTT Data, Bangalore, India. He was a DST-INSPIRE fellow and a DST-SERB awardee for the year 2017. He has authored 25+ journals and peer reviewed conference papers at international levels. His area of research interest covers machine learning, computer vision, data analytics, object recognition, biometrics and symbolic data analysis.
Mohammed Javed, is working as Assistant Professor in the Department of IT, IIIT Allahabad, since 2018, and has research experience of 7 years in the areas of image processing, pattern recognition, and compression of images and videos. He obtained his Ph.D degree from the University of Mysore. He has published more than 50+ research papers. He is the recipient of SERB-DST young scientist travel grant for DCC2020, UTAH, USA. He also received Grant-In-Aid from SERB-DST, CSIR, DRDO and ISRO several times for conducting different international events.
This book presents new theories and working models in the areas of data analytics and learning. The papers included in this volume were presented at the second International Conference on Data Analytics and Learning (DAL 2022), which was organized by the Department of Computer Science & Engineering, Alva's Institute of Engineering & Technology, Moodbidri, Mangalore, Karnataka, India in association with the Department of Studies in Computer Science, University of Mysore, Mysuru, Karnataka, India. The areas covered include pattern recognition, image processing, deep learning, computer vision, data analytics, machine learning, artificial intelligence, and intelligent systems.
| Erscheint lt. Verlag | 19.2.2024 |
|---|---|
| Reihe/Serie | Lecture Notes in Networks and Systems |
| Zusatzinfo | XIII, 252 p. 180 illus., 112 illus. in color. |
| Sprache | englisch |
| Themenwelt | Mathematik / Informatik ► Informatik ► Datenbanken |
| Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
| Mathematik / Informatik ► Mathematik ► Statistik | |
| Technik ► Elektrotechnik / Energietechnik | |
| Schlagworte | Artificial Intelligence • computer vision • data analytics • machine learning • Proceedings of DAL 2022 |
| ISBN-10 | 981-99-6346-X / 981996346X |
| ISBN-13 | 978-981-99-6346-1 / 9789819963461 |
| Haben Sie eine Frage zum Produkt? |
PDF (Wasserzeichen)Größe: 9,6 MB
DRM: Digitales Wasserzeichen
Dieses eBook enthält ein digitales Wasserzeichen und ist damit für Sie personalisiert. Bei einer missbräuchlichen Weitergabe des eBooks an Dritte ist eine Rückverfolgung an die Quelle möglich.
Dateiformat: PDF (Portable Document Format)
Mit einem festen Seitenlayout eignet sich die PDF besonders für Fachbücher mit Spalten, Tabellen und Abbildungen. Eine PDF kann auf fast allen Geräten angezeigt werden, ist aber für kleine Displays (Smartphone, eReader) nur eingeschränkt geeignet.
Systemvoraussetzungen:
PC/Mac: Mit einem PC oder Mac können Sie dieses eBook lesen. Sie benötigen dafür einen PDF-Viewer - z.B. den Adobe Reader oder Adobe Digital Editions.
eReader: Dieses eBook kann mit (fast) allen eBook-Readern gelesen werden. Mit dem amazon-Kindle ist es aber nicht kompatibel.
Smartphone/Tablet: Egal ob Apple oder Android, dieses eBook können Sie lesen. Sie benötigen dafür einen PDF-Viewer - z.B. die kostenlose Adobe Digital Editions-App.
Buying eBooks from abroad
For tax law reasons we can sell eBooks just within Germany and Switzerland. Regrettably we cannot fulfill eBook-orders from other countries.
aus dem Bereich
