DMAKit: A user-friendly web platform for bringing state-of-the-art data analysis techniques to non-specific users

2020 ◽  
Vol 93 ◽  
pp. 101557 ◽  
Author(s):  
David Medina-Ortiz ◽  
Sebastián Contreras ◽  
Cristofer Quiroz ◽  
Juan A. Asenjo ◽  
Álvaro Olivera-Nappa
Keyword(s):  
Data Analysis ◽  
State Of The Art ◽  
Analysis Techniques ◽  
User Friendly ◽  
Web Platform

Integrating OLAP/SOLAP in E-Business Domains

2011 ◽  
Vol 24 (3) ◽  
pp. 45-60
Author(s):  
Ben Ali ◽  
Samar Mouakket
Keyword(s):  
Data Mining ◽  
Decision Making ◽  
Data Analysis ◽  
United Arab Emirates ◽  
Decision Makers ◽  
Job Seekers ◽  
Job Market ◽  
Analysis Techniques ◽  
Analytical Processing ◽  
User Friendly

E-business domains have been considered killer domains for different data analysis techniques. Most researchers have examined data mining (DM) techniques to analyze the databases behind E-business websites. DM has shown interesting results, but this technique presents some restrictions concerning the content of the database and the level of expertise of the users interpreting the results. In this paper, the authors show that successful and more sophisticated results can be obtained using other analysis techniques, such as Online Analytical Processing (OLAP) and Spatial OLAP (SOLAP). Thus, the authors propose a framework that fuses or integrates OLAP with SOLAP techniques in an E-business domain to perform easier and more user-friendly data analysis (non-spatial and spatial) and improve decision making. In addition, the authors apply the framework to an E-business website related to online job seekers in the United Arab Emirates (UAE). The results can be used effectively by decision makers to make crucial decisions in the job market of the UAE.

Application of state-of-the-art in measurement and data analysis techniques for vibration evaluation of a tall building

2013 ◽  
Vol 10 (5) ◽  
pp. 654-669 ◽  
Author(s):  
Siavash Dorvash ◽  
Shamim Pakzad ◽  
Clay Naito ◽  
Ian Hodgson ◽  
Ben Yen
Keyword(s):  
Data Analysis ◽  
State Of The Art ◽  
Tall Building ◽  
Analysis Techniques

Advanced Data Analysis Strategies for Understanding Particle Contamination in Chemical Distribution Systems

2018 ◽  
Vol 282 ◽  
pp. 314-320
Author(s):  
David Green ◽  
Dan Rodier
Keyword(s):  
Data Analysis ◽  
Distribution Systems ◽  
State Of The Art ◽  
Particle Detection ◽  
Analysis Techniques ◽  
Analysis Strategies ◽  
Particle Contamination ◽  
Chemical Distribution ◽  
Contamination Events ◽  
Periodic Cycles

Advanced data analysis techniques can be implemented to quantitatively assess particle contamination data in state-of-the-art chemical distribution systems. Through examining the distribution of the rate of particle detection compared to Poisson’s distribution, it is possible to determine if particle variations are random or systematic and allow for the focus of improvement efforts to reduce particle levels with time. By analyzing the particle contamination data in the frequency domain via Fourier transform analyses, periodic cycles of contamination can be identified with the goal of associating contamination events with activities within the chemical delivery system.

Integrating OLAP/SOLAP in E-Business Domains

2013 ◽  
pp. 196-211
Author(s):  
Oualid (Walid) Ben Ali ◽  
Samar Mouakket
Keyword(s):  
Data Mining ◽  
Decision Making ◽  
Data Analysis ◽  
United Arab Emirates ◽  
Decision Makers ◽  
Job Seekers ◽  
Job Market ◽  
Analysis Techniques ◽  
Analytical Processing ◽  
User Friendly

E-business domains have been considered killer domains for different data analysis techniques. Most researchers have examined data mining (DM) techniques to analyze the databases behind E-business websites. DM has shown interesting results, but this technique presents some restrictions concerning the content of the database and the level of expertise of the users interpreting the results. In this paper, the authors show that successful and more sophisticated results can be obtained using other analysis techniques, such as Online Analytical Processing (OLAP) and Spatial OLAP (SOLAP). Thus, the authors propose a framework that fuses or integrates OLAP with SOLAP techniques in an E-business domain to perform easier and more user-friendly data analysis (non-spatial and spatial) and improve decision making. In addition, the authors apply the framework to an E-business website related to online job seekers in the United Arab Emirates (UAE). The results can be used effectively by decision makers to make crucial decisions in the job market of the UAE.

scholarly journals CalcUS: An Open-Source Computational Chemistry Web Platform

2021 ◽  
Author(s):  
Raphaël Robidas ◽  
Claude Legault
Keyword(s):  
Computational Chemistry ◽  
Open Source ◽  
State Of The Art ◽  
Quantum Mechanical ◽  
Quantum Mechanical Calculations ◽  
Web Interface ◽  
Software Packages ◽  
Technical Challenges ◽  
User Friendly ◽  
Web Platform

Computational chemistry is an increasingly active field due to the improvement of computing resources and theoretical tools. However, its use remains usually limited to technically-inclined users due to the technical challenges of preparing, launching and analyzing calculations. In this context, we have developed CalcUS, an open-source platform to streamline computational chemistry studies. Its objective is to democratize access to computational chemistry by providing a user-friendly web interface to simplify running and analyzing quantum mechanical calculations. It is freely available, expandable and customizable. It promotes connectivity to multiple software packages and algorithms, thus providing state-of-the-art techniques to all practitioners. We propose CalcUS as a standalone tool and infrastructure to support other open-source packages.

PENGARUH PERBAIKAN BERKESINAMBUNGAN TERHADAP KINERJA KARYAWAN (STUDI KASUS DI PT.RENTANG BUANA NIAGAMAKMUR TASIKMALAYA)

2019 ◽  
Vol 3 (1) ◽  
pp. 31-41
Author(s):  
Sri Sudiarti
Keyword(s):  
Data Analysis ◽  
Continuous Improvement ◽  
Research Method ◽  
Employee Performance ◽  
Sampling Technique ◽  
Positive Influence ◽  
Performance Criteria ◽  
Coefficient Of Determination ◽  
Analysis Techniques ◽  
Simple Regression

The objectives of this research are to know and to analyze about the effect of Continuous Improvement on the performance of employees at PT. Rentang Buana Niagamakmur (PT.RBN) Tasikmalaya. Research method which applied in this research is survey research method, while data collecting technique is done by through questionaire. Sampling technique applies sample is accidental sampling technique and the size sample is 55 respondents. Data analysis techniques used in the study is simple regression technique, analysis of the coefficient of determination  and t test. The results showed that the Continuous Improvement  including both criteria, including employee performance criteria, as well as Continuous Improvement  has a positive influence on employee performance of 76,4% in PT . Rentang Buana Niagamakmur (PT.RBN) Tasikmalaya.

INDONESIA LANGUAGE INTERFERENCE FORM IN BASIC PPL LEARNING THAILAND UNHASY COLLEGE SYUDENTS

2020 ◽  
Vol 8 (2) ◽  
pp. 38
Author(s):  
Siti Mariana Ulfa
Keyword(s):  
Qualitative Research ◽  
Data Analysis ◽  
Data Collection ◽  
Teaching Practice ◽  
Data Presentation ◽  
Analysis Techniques ◽  
Thai Students ◽  
The Impact ◽  
Collection Methods ◽  
Recording Techniques

AbstractHumans on earth need social interaction with others. Humans can use more than one language in communication. Thus, the impact that arises when the use of one or more languages is the contact between languages. One obvious form of contact between languages is interference. Interference can occur at all levels of life. As in this study, namely Indonesian Language Interference in Learning PPL Basic Thailand Unhasy Students. This study contains the form of interference that occurs in Thai students who are conducting teaching practices in the classroom. This type of research is descriptive qualitative research that seeks to describe any interference that occurs in the speech of Thai students when teaching practice. Data collection methods in this study are (1) observation techniques, (2) audio-visual recording techniques using CCTV and (3) recording techniques, by recording all data that has been obtained. Whereas the data wetness uses, (1) data triangulation, (2) improvement in perseverance and (3) peer review through discussion. Data analysis techniques in this study are (1) data collection, (2) data reduction, (3) data presentation and (4) conclusions. It can be seen that the interference that occurs includes (1) interference in phonological systems, (2) interference in morphological systems and (3) interference in syntactic systems. 

PENGARUH KEPEMIMPINAN DAN MOTVASI KERJA TERHADAP KUALITAS PELAYANAN PUBLIK (STUDI KASUS PADA KANTOR KEMENTERIAN AGAMA SUNGAI PENUH )

2020 ◽  
Author(s):  
Pahrizal
Keyword(s):  
Data Analysis ◽  
Service Quality ◽  
Public Service ◽  
Random Sampling ◽  
Secondary Data ◽  
Sampling Technique ◽  
Simple Random Sampling ◽  
Primary Data ◽  
Analysis Techniques ◽  
Intervening Variables

The research is proposed to test the influence of Leadership and Motivation Work on Public Service Quality. The population in this study was the Kantor Kementerian Agama Sungai Penuh who had received the last 1 year service at the Kantor Kementerian Agama Sungai Penuh, amounting to 260 people. Furthermore, by using the Slovin formula, a sample size of 158 people was chosen with a sampling technique based on Simple Random Sampling. This study uses primary data and secondary data. Data analysis techniques used are path analysis and hypothesis testing using t test with data analysis using SPSS version 20. The results of the study based on showing that partially the Leadership and motivation work have a positive and significant effect on Public Service Quality. The results also show that motivation work variables act as intervening variables between Leadership and Public Service Quality.

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