Big Data Analytics and Deep Learning are two high-focus of data science. Big Data has become important as many organizations both public and private have been collecting massive amounts of domain-specific information, which can contain useful information
1. 简要介绍 题目:大数据时代的小数据挑战:无监督和半监督方法研究进展综述 Small Data Challenges in Big Data Era: A Survey of Recent Progress on Unsupervised and Semi-Supervised Methods Index Terms—Small data methods, unsupervised methods, semi-supervised methods, domain adaptation, transformation equivar...
The amount of data being generated and stored is growing exponentially, owed in part to the continuing advances in computer technology. While "big data" has become a highlighted buzzword since last two year, "big data mining", i.e., mining from big data, has almost immediately followed up ...
Big Data Analytics and Deep Learning are two high-focus of data science. Big Data has become important as many organizations both public and private have been collecting massive amounts of domain-specific information, which can contain useful information
Instead, we aim at exploring the main ideas, principles and methods in this area to reveal where we are heading on the journey towards addressing the small data challenges in this big data era. 展开 关键词: Computer Science - Computer Vision and Pattern Recognition ...
Big Data technologies are changing the traditional technology domains and their successful use will require new security models and new security design approaches to address emerging security challenges. This paper intends to provide initial analysis of
Our group is currently focusing on several big data problems. In this talk, we will briefly describe the problems and then focus on one example - scalable and reliable identification of infected hosts in an enterprise network and of malicious domains visited by the enterprise's hosts. We model...
Therefore, it requires a comprehensive approach to negotiate the challenges in integration and interoperability. This paper focuses on the challenges of data integration and data interoperability in big data. 展开 关键词: Data Interoperability Data Integration ...
We are living in an era of data deluge and as a result, the term ``big data'' is appearing in many contexts, from meteorology, genomics, complex physics simulations, biological and environmental research, finance and business to healthcare. As the name implies, big data literally means large...
This book makes the case for expanding the worldwide historical archive now under development through the Collaborative for Historical Information and Analysis (CHIA). The opening chapter emphasizes that the time has come for using available technology t