Research on the Core Mechanism of Digital Marketing Communication Effect Based on the Big Data Era

2021 ◽  
Author(s):  
Falin Li
Keyword(s):  
Big Data ◽  
Digital Marketing ◽  
Marketing Communication ◽  
The Core ◽  
Communication Effect

scholarly journals Accurate Digital Marketing Communication Based on Intelligent Data Analysis

2022 ◽  
Vol 2022 ◽  
pp. 1-10
Author(s):  
ZhuoJun Li
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Big Data Analysis ◽  
Bayesian Optimization ◽  
Digital Marketing ◽  
Marketing Communication ◽  
Intelligent Algorithm ◽  
The Social ◽  
Optimization Parameters ◽  
Technological Means

In digital marketing, the core advantages of scientific and technological means such as artificial intelligence and big data analysis gradually appear and pay attention to them. This paper studies the accuracy of digital marketing and proposes an intelligent algorithm based on data analysis, which improves the effect of marketing communication. Through the combination of intelligent algorithms and big data analysis, the data are convincing. Through the comparison and improvement of intelligent algorithm logistic regression and XGBoost, this paper puts forward an improved algorithm of XGBoost based on Bayesian optimization parameters, which can improve the efficiency of digital marketing communication and enhance the social influence of digital marketing.

scholarly journals Enhancing Big Data Auditing

2018 ◽  
Vol 11 (1) ◽  
pp. 90
Author(s):  
Sara Alomari ◽  
Mona Alghamdi ◽  
Fahd S. Alotaibi
Keyword(s):  
Big Data ◽  
Research Area ◽  
Provable Data Possession ◽  
Integrity Verification ◽  
The Core ◽  
Outsourced Data ◽  
Active Research ◽  
Data Auditing ◽  
Active Research Area ◽  
Proof Of Retrievability

The auditing services of the outsourced data, especially big data, have been an active research area recently. Many schemes of remotely data auditing (RDA) have been proposed. Both categories of RDA, which are Provable Data Possession (PDP) and Proof of Retrievability (PoR), mostly represent the core schemes for most researchers to derive new schemes that support additional capabilities such as batch and dynamic auditing. In this paper, we choose the most popular PDP schemes to be investigated due to the existence of many PDP techniques which are further improved to achieve efficient integrity verification. We firstly review the work of literature to form the required knowledge about the auditing services and related schemes. Secondly, we specify a methodology to be adhered to attain the research goals. Then, we define each selected PDP scheme and the auditing properties to be used to compare between the chosen schemes. Therefore, we decide, if possible, which scheme is optimal in handling big data auditing.

scholarly journals Digital Marketing Communication and Car Buying: A Study of Potential Deterrents

2018 ◽  
Vol 13 (02) ◽  
Author(s):  
Rekha Dahiya ◽  
Aparna Mishra
Keyword(s):  
Cluster Analysis ◽  
Digital Marketing ◽  
Marketing Communication ◽  
Age Group ◽  
Chi Square ◽  
Occupational Category ◽  
Chi Square Test ◽  
And Cluster Analysis ◽  
Digital Channels ◽  
Lack Of Knowledge

The present study aims to identify the potential deterrents of digital marketing communication while buying a car. Data was collected from 801 respondents from Delhi using area wise proportionate sampling. 75% of the respondents used at least one digital channel of communication while buying a car. There were 25% of the respondents who didn’t use digital channels of communication while buying a car and relied exclusively upon traditional channels of communication. The study analyzed the respondents believing only in traditional channels of communication while buying a car to know the deterrents impeding the usage of digital channels of communication. The study also aimed to identify the distinct customers segments using traditional channels of communication while buying a car. Data was analyzed with the help of chi-square test and cluster analysis. ‘Technicality’ of the medium followed by ‘lack of knowledge and time’ were identified as the major deterrents of digital marketing communication. Two customer segments were identified in the study that made use of only traditional channels of communication while buying a car. First segment comprised of respondents ‘above 40 years of age’ belonging to ‘business’ category. Second segment was composed of respondents in ‘service’ occupational category belonging to ‘26 to 30 years age’ group.

Teaching Reform of Obstetrics and Gynecology Nursing Course in Higher Vocational Colleges Based on OBE Education Concept from the Perspective of Big Data

2021 ◽  
Vol 6 (1) ◽  
Author(s):  
Shanshan Huang ◽  
◽  
Huifang Chen ◽  
Hua Cao ◽  
Lulu Yan ◽  
...  
Keyword(s):  
Big Data ◽  
Course Design ◽  
Clinical Skills ◽  
Curriculum Evaluation ◽  
Teaching Quality ◽  
Obstetrics And Gynecology ◽  
The Core ◽  
Teachers And Students ◽  
Vocational Colleges

The application of big data puts forward new requirements for the talent training mode and curriculum reform of big data in higher vocational colleges. Through statistical data, the classroom quality can be measured, evaluated and traced. Under the framework of “Internet plus big data”, taking the cultivation of innovative ability as the core, realizing the multidimensional integration of technology and science, general knowledge and specialty, teaching and research, and teachers and students has become a new concept and Practice for improving the quality of big data talents training in higher vocational colleges. Obstetrics and gynecology nursing is one of the core courses of nursing specialty in higher vocational colleges, which is of great significance to the cultivation of professional talents. The purpose of nursing specialty in higher vocational colleges is to cultivate skilled and technical applied talents to meet the needs of medical and health posts, which requires the combination of theoretical knowledge and practical skills, so as to cultivate students’ clinical thinking and ability. There are some problems in the course design of Obstetrics and gynecology nursing in higher vocational colleges, such as the derailment of theoretical teaching and practical teaching, teaching materials lagging behind the update of clinical skills, students’ low learning initiative, single teaching mode and so on. Based on the OBE teaching concept from the perspective of big data, this paper carries out curriculum design, curriculum implementation and Curriculum Evaluation Guided by students’ learning achievements, and through the reverse design of achievements, highlights the student-centered, quantifies teaching output, and cultivates students’ learning ability and creativity. By reasonably mobilizing students’ learning initiative, students can achieve “self-education, self-management, self-service, and common improvement”, so as to improve the teaching quality of this course, improve students’ clinical skills, promote the self-development of teachers and students, and realize the “winwin” of education.

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