Robust Latent Feature Learning for Incomplete Big Data

Incomplete big data are frequently encountered in many industrial applications, such as recommender systems, the Internet of Things, intelligent transportation, cloud computing, and so on. It is of great significance to analyze them for mining rich and valuable knowledge and patterns. Latent feature...

पूर्ण विवरण

ग्रंथसूची विवरण

मुख्य लेखक:	Wu, Di (लेखक)
निगमित लेखक:	SpringerLink (Online service)
स्वरूप:	इलेक्ट्रोनिक ई-पुस्तक
भाषा:	अंग्रेज़ी
प्रकाशित:	Singapore : Springer Nature Singapore : Imprint: Springer, 2023.
संस्करण:	1st ed. 2023.
श्रृंखला:	SpringerBriefs in Computer Science,
विषय:	Artificial intelligence > Data processing. Quantitative research. Data mining. Data Science. Data Analysis and Big Data. Data Mining and Knowledge Discovery.
ऑनलाइन पहुंच:	https://doi.org/10.1007/978-981-19-8140-1
टैग:	टैग जोड़ें कोई टैग नहीं, इस रिकॉर्ड को टैग करने वाले पहले व्यक्ति बनें!