Sustainable Innovation: Placing Ethics at the Core of Security in a Big Data Age

2016 ◽  
pp. 61-71
Author(s):  
Michael Mulqueen
Keyword(s):  
Big Data ◽  
The Core ◽  
Sustainable Innovation

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.

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.

Using Big Data as a Backbone for Thailand 4.0

2018 ◽  
pp. 177-195
Author(s):  
Jirapun Daengdej ◽  
Kitikorn Dowpiset
Keyword(s):  
Big Data ◽  
Conceptual Framework ◽  
Industrial Revolution ◽  
Core Component ◽  
The Core ◽  
Fourth Industrial Revolution ◽  
Government Development

Every country is currently preparing themselves for the fourth industrial revolution, the environment where innovation is the key concept for survival. Most of the countries have developed framework for their e-government development. Unfortunately, most of these frameworks do not contain adequate details on what are the activities required if big data will be used as a backbone of all services. This research focuses on proposing a conceptual framework for development of e-government in Thailand. The proposed framework explicitly contains all important activities to be completed if big data will serve as the core component of all services for their citizens.

Big Data Techniques for Supporting Official Statistics

Web Services ◽  
2019 ◽  
pp. 728-744 ◽  
Author(s):  
Antonino Virgillito ◽  
Federico Polidoro
Keyword(s):  
Big Data ◽  
Data Collection ◽  
Data Science ◽  
Official Statistics ◽  
The Core ◽  
Web Scraping ◽  
Collection Process ◽  
Data Collection Process ◽  
Data Source ◽  
Use Of Internet

Following the advent of Big Data, statistical offices have been largely exploring the use of Internet as data source for modernizing their data collection process. Particularly, prices are collected online in several statistical institutes through a technique known as web scraping. The objective of the chapter is to discuss the challenges of web scraping for setting up a continuous data collection process, exploring and classifying the more widespread techniques and presenting how they are used in practical cases. The main technical notions behind web scraping are presented and explained in order to give also to readers with no background in IT the sufficient elements to fully comprehend scraping techniques, promoting the building of mixed skills that is at the core of the spirit of modern data science. Challenges for official statistics deriving from the use of web scraping are briefly sketched. Finally, research ideas for overcoming the limitations of current techniques are presented and discussed.

How Should Data Science Education Be?

2020 ◽  
Vol 9 (2) ◽  
pp. 25-36
Author(s):  
Necmi Gürsakal ◽  
Ecem Ozkan ◽  
Fırat Melih Yılmaz ◽  
Deniz Oktay
Keyword(s):  
Machine Learning ◽  
Big Data ◽  
Science Education ◽  
Data Science ◽  
Doctoral Programs ◽  
Time Data ◽  
High Demand ◽  
The Core ◽  
The World ◽  
The Subject

The interest in data science is increasing in recent years. Data science, including mathematics, statistics, big data, machine learning, and deep learning, can be considered as the intersection of statistics, mathematics and computer science. Although the debate continues about the core area of data science, the subject is a huge hit. Universities have a high demand for data science. They are trying to live up to this demand by opening postgraduate and doctoral programs. Since the subject is a new field, there are significant differences between the programs given by universities in data science. Besides, since the subject is close to statistics, most of the time, data science programs are opened in the statistics departments, and this also causes differences between the programs. In this article, we will summarize the data science education developments in the world and in Turkey specifically and how data science education should be at the graduate level.

scholarly journals Network Structure of Intercity Trips by Chinese Residents under Different Travel Modes: A Case Study of the Spring Festival Travel Rush

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-19
Author(s):  
Rong Zhang ◽  
Jinghu Pan ◽  
Jianbo Lai
Keyword(s):  
Big Data ◽  
Location Based Service ◽  
Urban Networks ◽  
The Core ◽  
Spring Festival ◽  
Population Migrations ◽  
Local Aggregation ◽  
Complex Relationships ◽  
Hub Cities

With the advent of big data, the use of network data to characterize travel has gradually become a trend. Tencent Migration big data can fully, dynamically, immediately, and visually record the trajectories of population migrations with location-based service technology. Here, the daily population flow data of 346 cities during the Spring Festival travel rush in China were combined with different travel modes to measure the spatial structure and spatial patterns of an intercity trip network of Chinese residents. These data were then used for a comprehensive depiction of the complex relationships between the population flows of cities. The results showed that there were obvious differences in the characteristics of urban networks from the perspective of different modes of travel. The intercity flow of aviation trips showed a core-periphery structure with national hub cities as the core distribution. Trips by train showed a core-periphery structure with cities along the national railway artery as the core. This gradually decreased toward hinterland cities. Moreover, the intercity flow of highway trips indicated a spatial pattern of strong local aggregation that matched the population scale.

scholarly journals SURVEY ON ACCURACY OF PREDICTIVE BIG DATA ANALYTICS IN HEALTHCARE

2019 ◽  
Vol 01 (02) ◽  
pp. 77-86
Author(s):  
Smys S
Keyword(s):  
Health Care ◽  
Big Data ◽  
Data Analytics ◽  
New Technologies ◽  
Big Data Analytics ◽  
Health Care Industry ◽  
Research Area ◽  
Care Industry ◽  
The Core ◽  
The Cost

The failures in the most of research area, identified that the lack of details about the actionable and the valuable data that conceived actual solutions were the core of the crisis, this was very true in case of the health care industry where even the early diagnoses of a chronic disease could not save a person’s life. This because of the impossibility in the prediction of the individual’s outcomes in the entire population. The evolving new technologies have changed this scenario leveraging the mobile devices and the internet services such as the sensor network and the smart monitors, enhancing the practical healthcare using the predictive modeling acquiring a deeper individual measures. This affords the researches to go through the huge set of data and identify the patterns along with the trends and delivering solutions improvising the medical care, minimizing the cost and he regulating the health admittance, ensuring the safety of human lives. The paper provides the survey on the predictive big data analysis and accuracy it provides in the health care system.

scholarly journals Innovative Research on Teaching Method of Taekwondo in College Elective Courses under the Background of Big Data

2022 ◽  
Vol 2022 ◽  
pp. 1-7
Author(s):  
Yahui Chang ◽  
Su Meng ◽  
Hong Chao
Keyword(s):  
Data Mining ◽  
Big Data ◽  
Teaching Methods ◽  
Teaching Method ◽  
Technological Revolution ◽  
The Core ◽  
Innovative Research ◽  
Core Technology ◽  
Research On Teaching ◽  
Elective Course

In the new stage of the new century, a new technological revolution is coming quietly. This revolution is represented by “data.” The application of “big data (B D A)” technology is causing changes in all walks of life, and the use of “B D A research methods” in the education field will inevitably become a trend. The purpose of this article is an innovative research on the teaching methods of Taekwondo based on the background of B D A in a college elective course. This paper first introduces the core technology of the database by summarizing the basic theory of the database. Based on the current situation of elective Taekwondo teaching in contemporary universities, analyze the current problems and deficiencies and conduct innovative research on college elective Taekwondo teaching methods combined with Beidou technology. This paper systematically expounds the practical connection, method innovation, and implementation path between BDA technology and college elective Taekwondo teaching methods and compares the traditional Taekwondo teaching methods based on BDA technology. Experimental research shows that compared with traditional Taekwondo teaching methods, the performance of university Taekwondo teaching based on data mining (D M I) in the context of B D A is more than 20% higher, which fully reflects its feasibility and the innovation of traditional Taekwondo teaching methods needs to be solved urgently.

scholarly journals MOOC Teaching Mode of News Transmission Based on Network Audio Data Decoding Technology

2018 ◽  
Vol 13 (06) ◽  
pp. 43 ◽  
Author(s):  
Chune Shen
Keyword(s):  
Big Data ◽  
Application Software ◽  
Development Mode ◽  
Online Classroom ◽  
Teaching Mode ◽  
The Core ◽  
Core Technology ◽  
Audio Data ◽  
Learning Interest ◽  
Actual Teaching

MOOC, an online classroom development mode, has gradually developed due to its unique advantages under the background of big data. However, most online audio data of MOOC are acquired through the application software on PCs, which has limitations in the support of audio format. In the meanwhile, there are still some shortcomings in the existing research on the application and integration of the core technology of MOOC. Therefore, this study constructs the News Transmission MOOC course based on the network audio data decoding technology. Moreover, the course is applied to the actual teaching process to test the teaching effect and realize the organic integration of the core technology of computer and the teaching idea of MOOC. The practical teaching results show that the MOOC course not only improves the teaching effect, but also has significance and value for improving students’ ability and learning interest.

Survey Research

2018 ◽  
pp. 257-276
Author(s):  
Ernest W. Brewer ◽  
Geraldine Torrisi-Steele ◽  
Victor C. X. Wang
Keyword(s):  
Social Media ◽  
Big Data ◽  
Data Collection ◽  
Survey Research ◽  
Mobile Devices ◽  
Historical Perspective ◽  
Human Condition ◽  
The Core ◽  
Digital World ◽  
Core Issues

Survey research, in various forms, is the mainstay for social researchers and anyone interested in finding out about people's opinions, attitudes, beliefs, and experiences. Survey research evolved from simple data collection to a more sophisticated scientific method and has proved useful in describing various aspects of the human condition as a basis for further action. However, now survey research is being challenged by the digital world as defined by big data, social media, and mobile devices. In the chapter, the authors provide a historical perspective on survey research, along with a brief presentation of foundational elements of survey research. Then, with the intent of evoking reflective discussion, the authors identify some of the core issues and viewpoints surrounding survey research in the present digital world.

Sign in / Sign up

Export Citation Format

Share Document