scholarly journals A Vital Sign Analysis System Based on Algorithm Block Broker for Interoperability between Algorithm Development Tools

2021 ◽  
Vol 11 (4) ◽  
pp. 1913
Author(s):  
Moon-Il Joo ◽  
Hee-Cheol Kim
Keyword(s):  
Data Mining ◽  
Programming Languages ◽  
Vital Sign ◽  
Integrated Management ◽  
Point Of View ◽  
Development Tools ◽  
Analysis Technique ◽  
Sign Analysis ◽  
R Programming ◽  
Analysis System

With the recent development of artificial intelligence and data mining technology, various and intelligent vital sign analysis technologies have been developed. Vital sign analysis algorithms and technologies are primarily developed using MATLAB and open source technologies, such as Python and R. The analysis algorithms developed with such programming languages can only be employed and run in their own respective development environments and, hence, are unfortunately not considered as platform independent. In that respect, the interoperability between development tools is needed to ensure efficiency in terms of development time and efforts and reusability between analysis technologies and algorithms developed in different languages. This paper presents the development of a vital sign analysis system that ensures interoperability, which leads to one common environment connecting different development platforms. To maintain the interoperability between MATLAB and R programming, we designed and implemented the Algorithm Block Broker (AB Broker). AB Broker is composed of AB Adapter and AB Broker. Here, the AB Broker uses AB Adapter to request execution of analysis algorithms developed in different languages, such as MATLAB, R, and Python. It also searches and runs the algorithm, helping implement the requested analysis technique. The AB Broker-based vital sign analysis system enables the integrated management of analysis and data mining technologies developed in different languages. From a developer’s point of view, therefore, it is convenient and efficient to develop techniques using existing different programming technologies.

scholarly journals Survival Analysis of Python and R within the Job Market Trend

2020 ◽  
Vol 1 (1) ◽  
pp. 31-40
Author(s):  
Hina Afzal ◽  
Arisha Kamran ◽  
Asifa Noreen
Keyword(s):  
Data Mining ◽  
Survival Analysis ◽  
Programming Languages ◽  
Large Data ◽  
Large Data Sets ◽  
Data Sets ◽  
Data Mining Techniques ◽  
R Programming Language ◽  
R Programming ◽  
High Level

The market nowadays, due to the rapid changes happening in the technologies requires a high level of interaction between the educators and the fresher coming to going the market. The demand for IT-related jobs in the market is higher than all other fields, In this paper, we are going to discuss the survival analysis in the market of parallel two programming languages Python and R . Data sets are growing large and the traditional methods are not capable enough of handling the large data sets, therefore, we tried to use the latest data mining techniques through python and R programming language. It took several months of effort to gather such an amount of data and process it with the data mining techniques using python and R but the results showed that both languages have the same rate of growth over the past years.

Factores de éxito en las webs de contenidos audiovisuales. Análisis cualitativo comparado

2021 ◽  
Author(s):  
Susana Fernández-Lores ◽  
Gema Martínez-Navarro ◽  
Diana Gavilán
Keyword(s):  
Success Factors ◽  
Formal Analysis ◽  
Qualitative Comparative Analysis ◽  
Point Of View ◽  
Key Factors ◽  
Ticket Sales ◽  
Critical Success ◽  
Analysis Technique ◽  
Evolution Of Technology ◽  
Content Recommendation

The evolution of technology and the digital empowerment of society have led to the proliferation of Audiovisual Content Webs (ACWs) where users can share information and experiences, along with other commercial resources. ACWs have led to significant changes in the way users can select and access audiovisual content. The design of these websites combines various features, including a user community, streamed content, ticket sales, and recommendations, among others. Each ACW has a specific profile with respect to the mentioned variables. The aim of this study is to identify the critical success factors for a ACW, i.e., which features and the form they should take to attract followers, thus increasing the capacity to prescribe and broadcast content. Using qualitative comparative analysis (QCA), a formal analysis technique that allows the identification of combinations that produce a certain result, a sample of the 12 most representative cinema websites in Spain is analyzed. The results indicate that the incorporation of content recommendation systems and the connection with streaming platforms through which the content can be accessed are key factors in the success of these ACWs. This work contributes academically to the knowledge and explanation of audience behavior in the new audiovisual scenario. From a professional point of view, relevant design suggestions are offered to platform creators. Finally, the limitations of this work are described, and future lines of research are considered. Resumen La evolución de la tecnología y el empoderamiento digital de la sociedad ha dado lugar a la proliferación de webs de contenidos audiovisuales (WCA) donde los usuarios comparten información y experiencias, junto a otros recursos comerciales. Las WCA han provocado cambios significativos en la forma en la que los usuarios pueden seleccionar y acceder a los contenidos audiovisuales. En su diseño, estas webs combinan varias prestaciones: comunidad de usuarios, contenidos en streaming, venta de entradas o recomendaciones, entre otros. Cada WCA presenta un perfil específico respecto a las variables descritas. El objetivo del presente trabajo es identificar los factores críticos de éxito de una WCA, es decir las prestaciones y la forma que deben adoptar para captar seguidores, aumentando con ello capacidad de prescripción y difusión de contenidos. Mediante el análisis cualitativo comparado (QCA), técnica formal de análisis que permite la identificación de combinaciones que producen un determinado resultado, se analiza una muestra de las 12 webs de cine más representativas en España. Los resultados indican que la incorporación de sistemas de recomendación de contenidos y la conexión con plataformas en streaming desde las que poder acceder a los contenidos son factores claves del éxito. El trabajo contribuye académicamente al conocimiento y la explicación de la conducta de la audiencia en el nuevo escenario audiovisual. Desde el punto de vista profesional se ofrecen sugerencias relevantes de diseño para los creadores de plataformas. Por último, se describen las limitaciones del trabajo y se plantean futuras líneas de investigación.

An Incident Analysis System NICTER and Its Analysis Engines Based on Data Mining Techniques

2009 ◽  
pp. 579-586 ◽  
Author(s):  
Daisuke Inoue ◽  
Katsunari Yoshioka ◽  
Masashi Eto ◽  
Masaya Yamagata ◽  
Eisuke Nishino ◽  
...  
Keyword(s):  
Data Mining ◽  
Data Mining Techniques ◽  
Its Analysis ◽  
Analysis System ◽  
Incident Analysis

scholarly journals Market Basket Analysis for Determination of Consumer Behavior at XYZ Stores Using R Programming

2021 ◽  
Vol 3 (2) ◽  
pp. 0210206
Author(s):  
Kelik Sussolaikah
Keyword(s):  
Data Mining ◽  
Consumer Behavior ◽  
Market Basket Analysis ◽  
Process Data ◽  
Market Basket ◽  
Data Mining Techniques ◽  
Programming Tool ◽  
The World ◽  
R Programming

Data mining is one of the fields of science in the world of informatics which has an important role, especially with regard to data. There are many algorithms and methods that can be used to process data. The paper this time the author tries to conduct research on consumer behavior by using one of the data mining techniques, namely market basket analysis. This research uses the R Programming tool, where it is hoped that the research can be carried out effectively and efficiently. Based on the research conducted, it is known that there has been a significant purchase of several items that have been described as a plot. The tendency of consumers to buy several items followed by other items can be a consideration for arranging the layout of goods on the sales shelf or arranging product stock in a supermarket.

scholarly journals A Novel Design of Classification of Coronary Artery Disease Using Deep Learning and Data Mining Algorithms

2021 ◽  
Vol 35 (3) ◽  
pp. 209-215
Author(s):  
Pratibha Verma ◽  
Vineet Kumar Awasthi ◽  
Sanat Kumar Sahu
Keyword(s):  
Neural Network ◽  
Data Mining ◽  
Deep Learning ◽  
Regression Tree ◽  
Principal Component ◽  
Classification And Regression Tree ◽  
Support Vector ◽  
Data Mining Algorithms ◽  
R Programming ◽  
Hidden Layer

Data mining techniques are included with Ensemble learning and deep learning for the classification. The methods used for classification are, Single C5.0 Tree (C5.0), Classification and Regression Tree (CART), kernel-based Support Vector Machine (SVM) with linear kernel, ensemble (CART, SVM, C5.0), Neural Network-based Fit single-hidden-layer neural network (NN), Neural Networks with Principal Component Analysis (PCA-NN), deep learning-based H2OBinomialModel-Deeplearning (HBM-DNN) and Enhanced H2OBinomialModel-Deeplearning (EHBM-DNN). In this study, experiments were conducted on pre-processed datasets using R programming and 10-fold cross-validation technique. The findings show that the ensemble model (CART, SVM and C5.0) and EHBM-DNN are more accurate for classification, compared with other methods.

scholarly journals Survival analysis of orange tree varieties in Spain

2019 ◽  
Vol 17 (1) ◽  
pp. e0103 ◽  
Author(s):  
Francisco Alcon ◽  
M. Angeles Fernández-Zamudio ◽  
Erasmo I. López-Becerra ◽  
M. Dolores De-Miguel
Keyword(s):  
Survival Analysis ◽  
Frost Resistance ◽  
Fruit Fly ◽  
Duration Analysis ◽  
Point Of View ◽  
The Other ◽  
Optimal Result ◽  
Large Size ◽  
Analysis Technique ◽  
Level Of Significance

The fundamental basis of Spanish citriculture is its varietal composition, which contributes to the existence of a marketing calendar that extends to almost the entire year. As time goes by, the supply of varieties is continuously renewed, requiring significant investments by growers. The guarantee of a quality supply to the markets, on one hand, and the optimal result of the investments made, on the other, require that, in managing the sector, the characteristics determining the survival of the varieties be taken into account. The main purpose of this study was therefore to assess the influence of the attributes affecting the longevity of orange plantations from a technical and commercial point of view. The duration analysis technique applied to the different varieties has been used. The main attributes determining the elimination of a variety were the presence of seeds in the fruit and the tendency towards a decrease in surface size. Permanence- or survival-friendly attributes included the calibre (large size of the variety, within its group) and the price received by farmers. Precocity, frost resistance, commercial quality and resistance to fruit fly did not have the expected level of significance.

scholarly journals Rethinking the Way of Doing Business: A Reframe of Management Structures for Developing Corporate Sustainability

2019 ◽  
Author(s):  
Thaís Vieira Nunhes ◽  
Merce Bernardo ◽  
Otávio José Oliveira
Keyword(s):  
Integrated Management ◽  
Innovation Management ◽  
Human Resources Management ◽  
Corporate Sustainability ◽  
Relevant Literature ◽  
Point Of View ◽  
Management Systems ◽  
Doing Business ◽  
Sustainability Strategy ◽  
The Moment

Corporate Sustainability (CS) literature has gone through a period of intense development. The moment is favorable to gathering these contributions to consistently advance the state of the art in CS and, also, discuss them to apply in real contexts. The main objective of the paper is to systematize, through a systematic literature review using content analysis of the 30 most cited articles from 2007 to 2017, the guiding pillars of CS management. The systematic search for papers was carried out in Scopus and Web of Science and the initial screening of the papers was assisted by the coding software MAXQDA 2018, through which the authors structured and analyzed their main insights, contributions and conclusions. After getting acquainted with the sample, an in-depth reading of the texts was conducted and 60 CS elements were identified. The elements cited in the relevant literature were grouped into 6 pillars related to Corporate sustainability strategy; Corporate governance; Human resources management; Knowledge and innovation management; Measurement, disclosure and independent assurance; and Management systems and Integrated management systems. The discussion of CS management pillars presented in this study provides understanding to researchers and managers on the main aspects that make up the integration of this construct in the companies, especially from a management point of view.

Water Consumption Analysis System Based on Data Mining

2012 ◽  
Vol 241-244 ◽  
pp. 1093-1097
Author(s):  
Ya Yuan Wen ◽  
Wen Ming Huang ◽  
Jie Wu ◽  
Yue Chen ◽  
Ji Qing Song
Keyword(s):  
Data Mining ◽  
Water Consumption ◽  
Prediction Models ◽  
Knowledge Discovery In Databases ◽  
Decision Making Process ◽  
Software Application ◽  
Efficient Management ◽  
Supply Industry ◽  
Consumption System ◽  
Analysis System

As knowledge discovery in databases, data mining means a process of extraction potentially useful information from data in databases, which can be applied to information management, query processing, decision making, process control etc. Those are urgently needed to improve efficient management in water supply industry, since water has been recognized by governments worldwide as a scarce resource. In response to such demand, this paper proposes a software application, which designed to accessing to database, operating the data mining, and output the results and charts. We analyzed the different prediction models and designed the water consumption system, which has two functions of analysis of possible correlations between the water consumption and nature of the industry and prediction on future water consumption. As the system built, the paper provides samples and produces the results and analysis.

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