2016 4th Saudi International Conference on Information Technology (Big Data Analysis) (KACSTIT)

2016 ◽  
Keyword(s):  
Information Technology ◽  
Big Data ◽  
Data Analysis ◽  
Big Data Analysis ◽  
International Conference

4th International conference on Big Data Analysis and Data Mining

2017 ◽  
Vol 8 (3) ◽  
pp. 83
Author(s):  
Editorial Board
Keyword(s):  
Data Mining ◽  
Big Data ◽  
Data Analysis ◽  
Big Data Analysis ◽  
Main Theme ◽  
International Conference ◽  
Poster Presentations ◽  
Future Technologies ◽  
Oral Presentations

Conference Series LLC welcomes you to attend the 4th International conference onBig Data Analysis and Data Mining during September 07-08, 2017 in Paris, France.We cordially invite all the participants to share their knowledge and research in the field of Big Data Analysis and Data Mining. Data Mining 2017 anticipates more than 200 participants around the globe with thought provoking Keynote lectures, Oral presentations, Symposiums, Workshops and Poster presentations. The attending delegates include Editorial Board Members of related International Journals. This is an excellent opportunity for the delegates from universities and institutes to interact with the world class scientists and eminent personalities. The intending participants can confirm their participation by registering for the conference along with your colleagues. The main theme of the conference is “Future Technologies for Knowledge Discoveries in Data”.

scholarly journals A Big Data-Based Data Mining Tool for Physical Education and Technical and Tactical Analysis

2019 ◽  
Vol 14 (22) ◽  
pp. 220 ◽  
Author(s):  
Lili Pan
Keyword(s):  
Data Mining ◽  
Information Technology ◽  
Big Data ◽  
Data Analysis ◽  
Physical Education ◽  
Big Data Analysis ◽  
Competitive Sports ◽  
Data Mining Tool ◽  
Research Findings ◽  
Mining Tool

This paper attempts to develop a data mining tool to guide sports training, promote physical education and facilitate technical and tactical analysis. For this purpose, information techniques like mathematical statistics and big data analysis were employed to collect and analyse the information on competitive sports. Based on database and computer algorithm, the author designed a data mining tool applicable to the information of various competitive sports. The proposed tool can mine out valuable information from the big data, enabling trainers to realize targeted and efficient physical education. The mined information also helps improve the analysis of techniques and tactics of competitive sports. The research findings promote the application of information technology in physical education and competitive sports.

scholarly journals Application of Big Data Analysis in Medical and Health Institutions in Chengdu

2021 ◽  
Vol 8 (7) ◽  
pp. 112-116
Author(s):  
Yundong Hao ◽  
Keyword(s):  
Information Technology ◽  
Big Data ◽  
Data Analysis ◽  
Data Processing ◽  
Medical Treatment ◽  
Processing Speed ◽  
Social Economy ◽  
Big Data Analysis ◽  
Medical Quality ◽  
Health Institutions

With the development of social economy, information technology is developing constantly, and the whole society has entered the era of big data. The era of big data is mainly manifested in the large amount of data, various types, low value density, and high requirements for data processing speed and timeliness. In the era of big data, we should extract data in time and effectively, so as to promote the development of various industries. As an institutional industry that plays an important role in the cure of human health diseases, medical and health institutions have begun to gradually use big data to play an important role in the management of people's diagnosis and treatment. Taking medical and health institutions in Chengdu as an example, this paper explores how to use big data analysis in medical and health institutions, so as to improve the efficiency of medical treatment and medical quality.

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