Nowadays, a great deal of attention is devoted to the relevant problem of supporting big dataanalytics from social systems (e.g., social networks, smart city applications, skill management platforms, and so forth). F...
详细信息
It is more and more important to strengthen the security management of power information network. In order to solve the information security(IS) problem of smart power grid, this paper introduces the relevant theories...
详细信息
Online purchase portals have a spectacular opportunity for business expansion. E-commerce portals have data repositories pertaining to online transactions that could be analyzed through dataanalytics to find valuable...
详细信息
ISBN:
(纸本)9789811500350;9789811500343
Online purchase portals have a spectacular opportunity for business expansion. E-commerce portals have data repositories pertaining to online transactions that could be analyzed through dataanalytics to find valuable insight for further expansion of business as well as targeted marketing. This study has made an attempt for the implementation of dataanalytics over the shared data set of Turkey-based e-commerce company. Precisely, a comparative analysis of supervised machine learning algorithms has been worked out for predicting customer behavior and products being brought. Their efficiency has been found out and they have been ranked purpose wise. The implementations of algorithms are carried out in Python.
The rise of the Internet of Things (IoT) is a product of the emergence of the mobile Internet and the new generation of information technology. It is of great significance to the upgrading and transformation of indust...
详细信息
ISBN:
(纸本)9783030152352;9783030152345
The rise of the Internet of Things (IoT) is a product of the emergence of the mobile Internet and the new generation of information technology. It is of great significance to the upgrading and transformation of industries, agriculture, and cities. As one of the cutting-edge technologies with great application value, the IoT is characterized by its green, intelligent, and sustainable development, which makes it a promising foundation and an important engine for future technological progress and economic development. This paper starts with the status quo of the development of the IoTs, takes the national development policy as a basis, and focuses on the technical difficulties and application bottlenecks of the IoTs. The key technologies and application areas of the IoTs are also introduced to give a reasonable prediction of its future trend. The development of the IoTs will play an active role in the promotion of industries, agriculture, and cities.
In order to improve the accuracy and efficiency of building data acquisition in smart city, this paper proposes a novel building data acquisition method based on big data technology, Internet of things technology and ...
详细信息
With the emergence of wearable technology, IoT, and Edge computing, the nature of healthcare is rapidly shifting towards digital health aided by these ICT technologies. At the same time, consumer devices, such as smar...
详细信息
ISBN:
(纸本)9781728162515
With the emergence of wearable technology, IoT, and Edge computing, the nature of healthcare is rapidly shifting towards digital health aided by these ICT technologies. At the same time, consumer devices, such as smart, wearable fitness watches are gaining market share as a way to monitor physical activity and wellness. Despite these advances, and their ability to capture longitudinal behavioural patterns, these devices have yet to be fully leveraged within the healthcare system. If the user-generated data from such devices could be collected without compromising an individual's privacy, these insights could comprise part of a more holistic and preventative healthcare solution. In this article, we propose an Edge-assisted dataanalytics framework that uses Federated Learning to re-train local machine learning models using user-generated data. This framework could leverage pre-trained models to extract user-customized insights while preserving privacy and Cloud resources. We also identify some potential application scenarios and discuss research challenges to be explored within the proposed framework.
The rural economy is restricted by many factors. It is necessary to integrate data analysis technology and dig into comprehensive evaluation indicators that meet the level of rural development. In this way, we can mak...
详细信息
With the rapid development of technologies such as the Internet, big data and cloud computing, new changes have also occurred in the financial industry. Big data technology plays an important role in accelerating fina...
详细信息
At present, most data theft cases originate from the malicious intrusion of individual hackers to the production database. Therefore, more and more countries attach importance to the next generation of network communi...
详细信息
ISBN:
(纸本)9783030152352;9783030152345
At present, most data theft cases originate from the malicious intrusion of individual hackers to the production database. Therefore, more and more countries attach importance to the next generation of network communication, and a large amount of human and financial resources are invested in the research and development of data privacy protection of network communication. In order to perform real-time monitoring and intelligent control of network communication, the intelligent network communication control center needs to continuously collect the user's network communication data, and if the data leaks, it will expose the network communication rules and living habits of the individual users. In this paper, the actual system of high-speed data communication is realized by OFDM technology, and the problem of network communication data privacy protection is discussed and solved.
Drowning in the huge amount of content of recorded and live video data, relying solely on manual observation by security personnel for long hours is not feasible no efficient. There is a need for an intelligent and sm...
详细信息
ISBN:
(纸本)9781728146850
Drowning in the huge amount of content of recorded and live video data, relying solely on manual observation by security personnel for long hours is not feasible no efficient. There is a need for an intelligent and smart system which can overcome this difficulty by automating this process. It should alert the security personnel when suspicious objects in the frame are detected. It should also keep false alarms to a minimum. If this is achieved, the work of surveillance will be optimized and the presence of security personnel can be used else-where more labor force is needed. Video surveillance system plays a significant role in the security systems of modern cities since it can detect abnormal behavior and suspicious objects ahead of time as opposed to the late detection by humans. However, due to the expansion of the surveillance network, a massive amount of data is generated which makes the analytics, storage and retrieval of the data challenging.
暂无评论