scholarly journals Application of sample balance-based multi-perspective feature ensemble learning for prediction of user purchasing behaviors on mobile wireless network platforms

2020 ◽  
Author(s):  
Huibing Zhang ◽  
Junchao Dong
Keyword(s):  
Communication Network ◽  
Ensemble Learning ◽  
Large Scale ◽  
Rapid Development ◽  
Recall Rate ◽  
Great Success ◽  
Mutual Benefit ◽  
Mobile Wireless ◽  
Evaluation Indexes ◽  
Wireless Communication Network

Abstract With the rapid development of wireless communication network, M-Commerce has achieved great success. Users leave a lot of historical behavior data when shopping on the M-Commerce platform. Using these data to predict future purchasing behaviors of the users will be of great significance for improving user experience and realizing mutual benefit and win-win result between merchant and user. Therefore, a sample balance-based multi-perspective feature ensemble learning was proposed in this study as the solution to predicting user purchasing behaviors, so as to acquire user’s historical purchasing behavioral data with sample balance. Influence feature of user purchasing behaviors were extracted from three perspectives—user, commodity and interaction, in order to further enrich the feature dimensions. Meanwhile, feature selection was carried out using XGBSFS algorithm. Large-scale real datasets were experimented on Alibaba M-Commerce platform. The experimental results show that the proposed method has achieved better prediction effect in various evaluation indexes such as precision and recall rate.

scholarly journals Application of sample balance-based multi-perspective feature ensemble learning for prediction of user purchasing behaviors on mobile wireless network platforms

2020 ◽  
Vol 2020 (1) ◽  
Author(s):  
Huibing Zhang ◽  
Junchao Dong
Keyword(s):  
Communication Network ◽  
Ensemble Learning ◽  
Large Scale ◽  
Rapid Development ◽  
Recall Rate ◽  
Great Success ◽  
Mutual Benefit ◽  
Mobile Wireless ◽  
Evaluation Indexes ◽  
Wireless Communication Network

Abstract With the rapid development of wireless communication network, M-Commerce has achieved great success. Users leave a lot of historical behavior data when shopping on the M-Commerce platform. Using these data to predict future purchasing behaviors of the users will be of great significance for improving user experience and realizing mutual benefit and win-win result between merchant and user. Therefore, a sample balance-based multi-perspective feature ensemble learning was proposed in this study as the solution to predicting user purchasing behaviors, so as to acquire user’s historical purchasing behavioral data with sample balance. Influence feature of user purchasing behaviors was extracted from three perspectives—user, commodity and interaction, in order to further enrich the feature dimensions. Meanwhile, feature selection was carried out using XGBSFS algorithm. Large-scale real datasets were experimented on Alibaba M-Commerce platform. The experimental results show that the proposed method has achieved better prediction effect in various evaluation indexes such as precision and recall rate.

scholarly journals Handover in a mobile wireless communication network –A Review Phase

2019 ◽  
Vol 1 (1) ◽  
pp. 6-13
Author(s):  
Rebin Abdullah Saeed
Keyword(s):  
Communication Network ◽  
Wireless Communication ◽  
Mobile Communication ◽  
Signal Quality ◽  
Radio Network ◽  
Current Channel ◽  
Mobile Wireless ◽  
Wireless Communication Network

Mobility is the features of mobile communication that makes it desirable by all and varied. The whole world is now attractive in wireless communication as it provides users' ability to communicate on-the-go. IT is accomplished by transferring users from a radio network to another. This process is called handover. Handover occurs by adjusting the duration of soft handovers, the size of the areas and either by cell crossing or by deterioration in the signal quality of the current channel — the brief overview of handover, Handover in WiMAX and LTE, types of handover, handover types solutions, usually used handover parameters, some methods employed in the literature and I contemporary the convergent fact for continuance in the area of mobile wireless communication Handover.

scholarly journals Backhaul-Aware Resource Allocation and Optimum Placement for UAV-Assisted Wireless Communication Network

Electronics ◽  
2020 ◽  
Vol 9 (9) ◽  
pp. 1397
Author(s):  
Yishi Xue ◽  
Bo Xu ◽  
Wenchao Xia ◽  
Jun Zhang ◽  
Hongbo Zhu
Keyword(s):  
Communication Network ◽  
Resource Allocation ◽  
Wireless Communication ◽  
Large Scale ◽  
Optimization Problem ◽  
Matrix Theory ◽  
Base Station ◽  
Achievable Rate ◽  
Multiple User ◽  
Wireless Communication Network

Driven by its agile maneuverability and deployment, the unmanned aerial vehicle (UAV) becomes a potential enabler of the terrestrial networks. In this paper, we consider downlink communications in a UAV-assisted wireless communication network, where a multi-antenna UAV assists the ground base station (GBS) to forward signals to multiple user equipments (UEs). The UAV is associated with the GBS through in-band wireless backhaul, which shares the spectrum resource with the access links between UEs and the UAV. The optimization problem is formulated to maximize the downlink ergodic sum-rate by jointly optimizing UAV placement, spectrum resource allocation and transmit power matrix of the UAV. The deterministic equivalents of UE’s achievable rate and backhaul capacity are first derived by utilizing large-dimensional random matrix theory, in which, only the slowly varying large-scale channel state information is required. An approximation problem of the joint optimization problem is then introduced based on the deterministic equivalents. Finally, an algorithm is proposed to obtain the optimal solution of the approximate problem. Simulation results are provided to validate the accuracy of the deterministic equivalents, and the effectiveness of the proposed method.

scholarly journals Military Simulation Big Data: Background, State of the Art, and Challenges

2015 ◽  
Vol 2015 ◽  
pp. 1-20 ◽  
Author(s):  
Xiao Song ◽  
Yulin Wu ◽  
Yaofei Ma ◽  
Yong Cui ◽  
Guanghong Gong
Keyword(s):  
Big Data ◽  
Large Scale ◽  
Rapid Development ◽  
Military Training ◽  
Great Success ◽  
Service Oriented Architectures ◽  
Weapon Systems ◽  
Service Oriented ◽  
High Resolution Models ◽  
Future Work

Big data technology has undergone rapid development and attained great success in the business field. Military simulation (MS) is another application domain producing massive datasets created by high-resolution models and large-scale simulations. It is used to study complicated problems such as weapon systems acquisition, combat analysis, and military training. This paper firstly reviewed several large-scale military simulations producing big data (MS big data) for a variety of usages and summarized the main characteristics of result data. Then we looked at the technical details involving the generation, collection, processing, and analysis of MS big data. Two frameworks were also surveyed to trace the development of the underlying software platform. Finally, we identified some key challenges and proposed a framework as a basis for future work. This framework considered both the simulation and big data management at the same time based on layered and service oriented architectures. The objective of this review is to help interested researchers learn the key points of MS big data and provide references for tackling the big data problem and performing further research.

scholarly journals Research on the Measurement of Patent-intensive Industry Technology Lock-in from the Perspective of TML

2021 ◽  
Author(s):  
Wu Yang ◽  
Shiqiang Sun ◽  
Tengfei Gao
Keyword(s):  
United States ◽  
Communication Network ◽  
Wireless Communication ◽  
South Korea ◽  
Rapid Development ◽  
The United States ◽  
The Core ◽  
Wireless Communication Network ◽  
Lock In ◽  
Technology Ranking

Abstract [Purpose/Significance] As the core industry of technological innovation capabilities, patent-intensive industries, cultivating their rapid development is conducive to breaking the "technological lock-in" and realizing my country's independent innovation in the core technology field. [Method/Process] Based on the INNOJOY patent database, the wireless communication network patent was selected as the research object, and the subjective and objective weighting method and the growth rate cycle index synthesis method were used to measure the technical lock-in from the perspective of TML.[Results/Conclusions] (1) The technology lock-in index of the United States, Japan, and South Korea generally shows an upward trend, while the technology lock-in index of China has a trend of declining volatility, and the United States has the highest degree of lock-in in the field of wireless communication network technology, ranking first. Japan is in the second position, South Korea is in the third position, and China is in the fourth position; (2) The six core technologies identified belong to American companies. The public years are concentrated in 2017 and 2019, and the technical field is concentrated in H04W72/04 ( The same data transmission method and user equipment), H04W72/08 (signaling for proximity service and D2D discovery in LTE networks), and H04L1/00 (method to support channel allocation information for uplink and downlink channels) And device) these three core patents show that the current three core technologies are cutting-edge technologies in the field of wireless communication networks. The formation mechanism of technology lock-in was clarified, and measurement research was carried out to provide a theoretical basis and analysis method for cracking my country's "technology lock-in", and then to achieve the goal of "patent power."

Analysis and Study of Wireless Communication Network on Electric Power Automation

2014 ◽  
Vol 556-562 ◽  
pp. 4884-4886
Author(s):  
Lan Mi ◽  
Qing Yu
Keyword(s):  
Communication Network ◽  
Wireless Communication ◽  
Electric Power ◽  
Market Competition ◽  
Rapid Development ◽  
Electric Power Industry ◽  
Optical Fiber Communication ◽  
Power Industry ◽  
Network Technology ◽  
Wireless Communication Network

With the rapid development of science and technology, our country has basically entered into the network era, Internet and convenient optical fiber communication technology has covered all areas of the application. At the same time, electric power industry also vigorously applies network technology to improve its market competition strength. This technology plays an important role in electric power industry development, the operation and service of electric power industry in our country. The paper makes analysis and research about the wireless communication network technology on electric power automation.

scholarly journals Research of the Measurement of Patent-intensive Industry Technology Lock-in from the Perspective of TML

2021 ◽  
Author(s):  
Wu Yang ◽  
Shiqiang Sun ◽  
Tengfei Gao
Keyword(s):  
United States ◽  
Communication Network ◽  
Wireless Communication ◽  
South Korea ◽  
Rapid Development ◽  
The United States ◽  
The Core ◽  
Wireless Communication Network ◽  
Lock In ◽  
Technology Ranking

Abstract As the core industry of technological innovation capabilities, patent-intensive industries, cultivating their rapid development is conducive to breaking the "technological lock-in" and realizing my country's independent innovation in the core technology field. Based on the INNOJOY patent database, the wireless communication network patent was selected as the research object, and the subjective and objective weighting method and the growth rate cycle index synthesis method were used to measure the technical lock-in from the perspective of TML. The study found: (1) The technology lock-in index of the United States, Japan, and South Korea generally shows an upward trend, while the technology lock-in index of China has a trend of declining volatility, and the United States has the highest degree of lock-in in the field of wireless communication network technology, ranking first. Japan is in the second position, South Korea is in the third position, and China is in the fourth position; (2) The six core technologies identified belong to American companies. The public years are concentrated in 2017 and 2019, and the technical field is concentrated in H04W72/04 ( The same data transmission method and user equipment), H04W72/08 (signaling for proximity service and D2D discovery in LTE networks), and H04L1/00 (method to support channel allocation information for uplink and downlink channels) And these three core patents show that the current three core technologies are cutting-edge technologies in the field of wireless communication networks.

scholarly journals Research on the Measurement of Patent-intensive Industry Technology Lock-in from the Perspective of TML

2021 ◽  
Author(s):  
Wu Yang ◽  
Shiqiang Sun ◽  
Tengfei Gao
Keyword(s):  
United States ◽  
Communication Network ◽  
Wireless Communication ◽  
South Korea ◽  
Rapid Development ◽  
The United States ◽  
The Core ◽  
Wireless Communication Network ◽  
Lock In ◽  
Technology Ranking

Abstract As the core industry of technological innovation capabilities, patent-intensive industries, cultivating their rapid development is conducive to breaking the "technological lock-in" and realizing my country's independent innovation in the core technology field. Based on the INNOJOY patent database, the wireless communication network patent was selected as the research object, and the subjective and objective weighting method and the growth rate cycle index synthesis method were used to measure the technical lock-in from the perspective of TML. The study found： (1) The technology lock-in index of the United States, Japan, and South Korea generally shows an upward trend, while the technology lock-in index of China has a trend of declining volatility, and the United States has the highest degree of lock-in in the field of wireless communication network technology, ranking first. Japan is in the second position, South Korea is in the third position, and China is in the fourth position; (2) The six core technologies identified belong to American companies. The public years are concentrated in 2017 and 2019, and the technical field is concentrated in H04W72/04 ( The same data transmission method and user equipment), H04W72/08 (signaling for proximity service and D2D discovery in LTE networks), and H04L1/00 (method to support channel allocation information for uplink and downlink channels) And device) these three core patents show that the current three core technologies are cutting-edge technologies in the field of wireless communication networks. The formation mechanism of technology lock-in was clarified, and measurement research was carried out to provide a theoretical basis and analysis method for cracking my country's "technology lock-in", and then to achieve the goal of "patent power."

Sign in / Sign up

Export Citation Format

Share Document