Understanding an Urban Park through Big Data

Big Data: Understanding Big Data

Steve Jobs, one of the greatest visionaries of our time was quoted in 1996 saying “a lot of times, people don’t know what they want until you show it to them”[38] indicating he advocated products to be developed based on human intuition rather than research. With the advancements of mobile devices, social networks and the Internet of Things (IoT) enormous amounts of complex data, both structure...

Big Data Dwarfs: Towards Fully Understanding Big Data Analytics Workloads

Though the big data benchmark suites like BigDataBench and CloudSuite have been used in architecture and system researches, we have not yet answered the fundamental issue— what are abstractions of frequently-appearing units of computation in big data analytics, which we call big data dwarfs. For the first time, we identify eight big data dwarfs, each of which captures the common requirements of...

An Architecture for Security and Protection of Big Data

The issue of online privacy and security is a challenging subject, as it concerns the privacy of data that are increasingly more accessible via the internet. In other words, people who intend to access the private information of other users can do so more efficiently over the internet. This study is an attempt to address the privacy issue of distributed big data in the context of cloud computin...

User-Generated Big Data and Urban Morphology

Mining Social and Urban Big Data

In recent years, with the rapid development of positioning technologies, online social networks, sensors and smart devices, large scale human behavioral data are now readily available. The growing availability of such behavioral data provides us unprecedented opportunities to gain more in depth understanding of users in both the physical world and cyber world, especially in online social networ...