Big data: Challenges and practical application

Due to the data generated rapidly, many data can become knowledge after it is processed suitably. Many applications like Weather forecast, Stock market, Traffic control, Energy saving, Surveillance control, etc. have been developed based on Big Data processing [1, 2, 4, 5]. For the Big Data itself, it also creates some serious problems like huge dimensionality, data inconsistency, open access, security, privacy, uncertainty, etc. People like to live in smart cities as it is quite convenient to access to any things [3]. Especially for the Internet of Things, not only the devices are connected to the Internet but the human beings are also connected to the Internet. The smarter cities are, the bigger data create. How to manage such Big Data becomes a challenge problem. Especially, when the dimensionality becomes huge, there is really no efficient way to handle it. As you know, Big Data are really generated via Internet of Things. Hence the sensors are very important for both the devices and human beings. RFID is usually a sensor attached to a device but for the human beings, the sensors for face, fingerprints, veins, iris etc. are designed to get the specific physiological characteristic owned by a human being [6-15]. In this talk, we will introduce Big Data, Smart Cities and Biometric Recognition technologies and point out the problems we face and need to solve. Several practical systems are also introduced based on the Big Data processing.