scholarly journals Analyzing Particularities of Sensor Datasets for Supporting Data Understanding and Preparation

Sensors ◽  
2021 ◽  
Vol 21 (18) ◽  
pp. 6063
Author(s):  
Francisco Javier Nieto ◽  
Unai Aguilera ◽  
Diego López-de-Ipiña
Keyword(s):  
Decision Making ◽  
Data Cleaning ◽  
Sensor Data ◽  
Statistical Distributions ◽  
Decision Making Processes ◽  
New Type ◽  
Measurement Units ◽  
Using Data ◽  
Different Sources ◽  
Existing Data

Data scientists spend much time with data cleaning tasks, and this is especially important when dealing with data gathered from sensors, as finding failures is not unusual (there is an abundance of research on anomaly detection in sensor data). This work analyzes several aspects of the data generated by different sensor types to understand particularities in the data, linking them with existing data mining methodologies. Using data from different sources, this work analyzes how the type of sensor used and its measurement units have an important impact in basic statistics such as variance and mean, because of the statistical distributions of the datasets. The work also analyzes the behavior of outliers, how to detect them, and how they affect the equivalence of sensors, as equivalence is used in many solutions for identifying anomalies. Based on the previous results, the article presents guidance on how to deal with data coming from sensors, in order to understand the characteristics of sensor datasets, and proposes a parallelized implementation. Finally, the article shows that the proposed decision-making processes work well with a new type of sensor and that parallelizing with several cores enables calculations to be executed up to four times faster.

Examining the Implications of Process and Choice for Strategic Decision Making Effectiveness

2013 ◽  
pp. 344-359
Author(s):  
Paul L. Drnevich ◽  
Thomas H. Brush ◽  
Alok Chaturvedi
Keyword(s):  
Decision Making ◽  
Academic Research ◽  
Decision Processes ◽  
Strategic Decision ◽  
Strategic Decision Making ◽  
Political Decision ◽  
Agent Based ◽  
Response Choice ◽  
Decision Making Processes ◽  
Using Data

Most strategic decision-making (SDM) approaches advocate the importance of decision-making processes and response choices for obtaining effective outcomes. Modern decision-making support system (DMSS) technology is often also needed for complex SDM, with recent research calling for more integrative DMSS approaches. However, scholars tend to take disintegrated approaches and disagree on whether rational or political decision-making processes result in more effective decision outcomes. In this study, the authors examine these issues by first exploring some of the competing theoretical arguments for the process-choice-effectiveness relationship, and then test these relationships empirically using data from a crisis response training exercise using an intelligent agent-based DMSS. In contrast to prior research, findings indicate that rational decision processes are not effective in crisis contexts, and that political decision processes may negatively influence both response choice and decision effectiveness. These results offer empirical evidence to confirm prior unsupported arguments that response choice is an important mediating factor between the decision-making process and its effectiveness. The authors conclude with a discussion of the implications of these findings and the application of agent-based simulation DMSS technologies for academic research and practice.

Geographic Marketing in Support of Decision-Making Processes

2020 ◽  
pp. 103-115
Author(s):  
Maria Fernanda Augusto
Keyword(s):  
Decision Making ◽  
Geographic Information ◽  
Essential Elements ◽  
Added Value ◽  
Key Factors ◽  
Digital Maps ◽  
Decision Making Processes ◽  
Growth Prospects ◽  
Definition Of ◽  
Different Sources

Nowadays, geographic information and spatial aspects are essential elements for the definition of companies' strategies. With the use of different sources data, companies were able to obtain insights that they could not obtain without the spatial component and were able to use them to optimize their business. Then, geographic marketing presents itself as an added value for companies, one of the key factors being its role in supporting decision making. The main attributes of geographic marketing or GeoMarketing allow us to identify and present through digital maps the behavior and trends of certain variables based on characteristics of a market. The meticulous study of spatial and demographic information generated by GeoMarketing are crucial for important strategic adjustments in the business plan, such as definitions related to the location considered ideal for the business, target audience, price and growth prospects, among other factors. In this context, GeoMarketing will be introduced, exploring its scope, applicability, and relevance of its use in support of the decision-making process.

scholarly journals International Student Recruitment Strategies in Finland and China

2019 ◽  
Vol 3 (4) ◽  
pp. 1-17
Author(s):  
Suvi Jokila
Keyword(s):  
Decision Making ◽  
International Students ◽  
Study Abroad ◽  
International Student ◽  
Recruitment Strategies ◽  
Sources Of Information ◽  
International Student Recruitment ◽  
Decision Making Processes ◽  
Private Actors ◽  
Different Sources

The recruitment of international students has become a global phenomenon. Prospective candidates planning to study abroad rely on different sources of information in their decision-making processes, provided by different national, institutional and private actors. Thus, more analysis of the mediators facilitating this encounter of recruiters and students is needed. This study analyses how study choices in Finland and China are constructed by analysing the embeddedness of national recruitment strategies in websites, the construction of study choices as capitals and the trust-building devices (dispositifs) employed in the websites. Data consist of textual material from four websites representing educational offerings in Finland and China, targeted for international students searching for information in their study-abroad decision-making. This study puts forward three arguments. First, the analysed websites reflect the national strategies on the recruitment of international students; however, the approaches the websites use vary greatly. Second, websites construct expectations that build on a holistic study-abroad experience. Third, non-governmental websites employ commercially oriented dispositifs to distinguish or affirm choices.

scholarly journals Theoretical signposts for tracing spirituality within the fluid decision-making of a mobile virtual reality

2012 ◽  
Vol 68 (2) ◽  
Author(s):  
Jan-Albert Van den Berg
Keyword(s):  
Decision Making ◽  
Virtual Reality ◽  
Practical Theology ◽  
Information Age ◽  
Mobile Platforms ◽  
Decision Making Processes ◽  
Use Of The Internet ◽  
Using Data ◽  
Mobile Communication Technology

In the context of the interconnected world of the information age, and demarcated by a virtual existence through the use of the Internet, decision-making has become even more dynamic. In an evolving era of virtuality, with special emphasis on the increasing role of mobile communication technology, it is indicated that decision-making has become fluid. As part of the phenomenon of fluid decision-making, not only is the evolutionary character of virtual connectivity acknowledged, but the ever-increasing and important role of mobile platforms is also emphasised. In a hermeneutical practical theology of lived spirituality, focusing on the praxis of everyday living, the possible role of spirituality in informing the fluid decision-making processes in a mobile virtual world was traced. A qualitatively inspired analysis, using data collected from various virtual forums, was proposed. In the description of these contours, special emphasis was placed on narrative-inspired biographical accents. The research made a contribution in terms of possible new articulations of the language of faith as embodied in fluid decision-making in a mobile virtual reality.

Online Peer-to-peer Lending Decision Making: Model Development and Testing

2016 ◽  
Vol 44 (1) ◽  
pp. 117-130 ◽  
Author(s):  
Qingyao Wan ◽  
Dongyu Chen ◽  
Weihua Shi
Keyword(s):  
Decision Making ◽  
Model Development ◽  
Peer To Peer ◽  
Initial Trust ◽  
Perceived Benefit ◽  
Decision Making Processes ◽  
P2p Lending ◽  
Using Data ◽  
Lending Decision ◽  
Decision Making Model

We explored lenders' decision-making processes in online peer-to-peer (P2P) lending by drawing on trust theory and the valence framework to develop an integrated decisionmaking model, which we then tested empirically using data from a survey conducted with 474 online lenders in China. The results showed that initial trust and perceived benefit determined willingness to lend, and that the fear of borrower opportunism did not have a significant impact on this willingness. Initial trust increased willingness to lend both directly and indirectly, increased it by increasing perceived benefit. We have identified the specific features of online P2P lending and provided valuable insights for borrowers, lenders, and intermediaries.

Decision-Making in Collaborative Governance Networks: Pathways to Input and Throughput Legitimacy

2020 ◽  
Author(s):  
Jennifer E Mosley ◽  
Jade Wong
Keyword(s):  
Decision Making ◽  
Qualitative Comparative Analysis ◽  
Collaborative Governance ◽  
Comparative Case Study ◽  
Network Characteristics ◽  
Governance Networks ◽  
Decision Making Processes ◽  
Using Data ◽  
Governance Processes ◽  
Input Legitimacy

Abstract Participants may lose faith in collaborative governance processes if they do not perceive internal decision-making processes to be legitimate. Yet, understanding how to assess internal legitimacy and what network characteristics are associated with it has been an enduring challenge. In this article, we propose conceptualizing internal legitimacy as multi-vectored, contrasting input legitimacy—the degree of openness and access that participants experience in their attempt to offer voice—with throughput legitimacy—the quality of the decision-making process itself. Using data from a comparative case study of 18 different US Department of Housing and Urban Development (HUD)-mandated Continuums of Care, we assess this framework with a mixed-methods approach, combining thematic analysis of interview data (n = 145) with Qualitative Comparative Analysis (QCA) to show (1) differences in how participants experience input and throughput legitimacy, (2) the nature of the relationship between input and throughput legitimacy, and (3) what specific network characteristics are associated with positive assessments of each. Our findings indicate that input and throughput legitimacy are distinct but related—throughput legitimacy is harder to achieve and dependent on positive assessments of input legitimacy. Some network characteristics, particularly large size and commissioner-style network management, pose challenges, but a focus on in-person engagement can help ameliorate them. We conclude that distinguishing between input and throughput legitimacy can help managers identify where and how to intervene in order to improve the legitimacy of decision-making processes in collaborative governance networks.

scholarly journals Identifikasi Kerusakan Mobil Menggunakan Sistem Pakar Berbasis Metode Forward Chaining Pada Global Motor Gorontalo

2020 ◽  
Vol 3 (1) ◽  
Author(s):  
Siti Andini Utiarahman
Keyword(s):  
Decision Making ◽  
Expert System ◽  
Programming Language ◽  
Existing Problems ◽  
Is Research ◽  
Flow Diagrams ◽  
Using Data ◽  
Data Design ◽  
Descriptive Method ◽  
Existing Data

Checking and diagnoses of car damage done manually cause the old car working time so that customer satisfaction decreases. To save time from technicians, an application that can help the technician to diagnose damage to his car is required. For that, it can be applied to expert system applications. The expert system as a program enabled to mimic human experts should be able to do things that an expert can do. This app is designed to do diagnose damage to Daihatsu cars. The method used is a descriptive method, which is research that seeks to solve existing problems systematically based on data-existing data, design by using data flow diagrams (DFD), interface form designing Users of the proposed system using the PHP programming language, the database uses Mysql. The result of this research is the expert system used can to provide useful information in assisting in decision making to diagnose car damage.

scholarly journals Analisis Rekomendasi Calon Debitur Motor pada PT.XYZ menggunakan Algortima C 4.5

2020 ◽  
Vol 7 (4) ◽  
pp. 673
Author(s):  
Lilis Nurellisa ◽  
Devi Fitrianah
Keyword(s):  
Decision Making ◽  
Decision Tree ◽  
Supervised Learning ◽  
Data Driven ◽  
Classification Method ◽  
Service Company ◽  
C4.5 Algorithm ◽  
Application Data ◽  
Using Data ◽  
Existing Data

<p class="Abstrak">PT.XYZ merupakan perusahaan jasa pembiayaan atau <em>leasing</em> dengan berkonsentrasi kepada pembiayaan sepeda motor. Dalam bisnisnya PT.XYZ sering sekali dihadapkan oleh masalah kredit macet atau bahkan penipuan. Hal ini dikarenakan kesalahan dalam pemberian kredit kepada calon debitur yang tidak potensial. Jika tidak ditangani hal ini tentu saja akan berdampak buruk bagi perusahaan. Perusahaan mengalami penurunan kemampuan dalam membayar angsuran pinjaman ke perbankan bahkan dapat berdampak pada kebangkrutan. Dalam hal ini PT.XYZ perlu melalukan analisis untuk menentukan calon debitur yang potensial dengan menggunakan data driven method atau pendekatan berbasis kepada data. Yaitu pengambilan keputusan dengan melihat data pengajuan kredit yang pernah ada sebelumnya yang disebut juga sebagai <em>supervised learning</em>. Algoritma yang digunakan adalah algoritma C4.5 karena algoritma ini dapat mengklasifikasi data yang sudah ada sebelumnya. Dengan algoritma ini akan dihasilkan sebuah pohon keputusan yang akan membantu PT.XYZ dalam pengambilan keputusan. Dengan pengujian menggunakan 3587 sampel data pengajuan kredit dalam kurun waktu 1 tahun akurasi yang didapatkan ialah 97,96%. Dengan begitu hal ini menunjukkan bahwa metode klasifikasi menggunakan algoritma C4.4 berhasil diimplementasikan dengan baik. Hal ini diharapkan dapat membantu PT.XYZ dalam merekomendasikan calon debitur yang potensial.</p><p class="Abstrak"> </p><p class="Abstrak"><em><strong>Abstract</strong></em></p><p><em>PT. XYZ is a finance or leasing service company by concentrating on motorcycle financing. In its business, PT. XYZ is often faced with problems of bad credit or even fraud. This is due to an error in giving credit to potential debtors. If it is not handled this, of course, will have a bad impact on the company. Companies experiencing a decline in the ability to repay loan installments to banks can even have an impact on bankruptcy. In this case, PT. XYZ needs to do an analysis to determine potential debtors using data-driven methods or data-based approaches. That is decision making by looking at credit application data that has never been before, which is also called supervised learning. The algorithm used is the C4.5 algorithm because this algorithm can classify pre-existing data. With this algorithm, a decision tree will be produced that will help PT. XYZ in decision making. By testing using 3587 samples of credit filing data within a period of 1 year the accuracy obtained was 97.96%. That way this shows that the classification method using the C4.4 algorithm is successfully implemented properly. This is expected to help PT. XYZ in recommending potential debtors.</em></p><p class="Abstrak"><em><strong><br /></strong></em></p>

Examining the Implications of Process and Choice for

2010 ◽  
Vol 2 (3) ◽  
pp. 1-15 ◽  
Author(s):  
Paul L. Drnevich ◽  
Thomas H. Brush ◽  
Alok Chaturvedi
Keyword(s):  
Decision Making ◽  
Academic Research ◽  
Crisis Response ◽  
Decision Processes ◽  
Strategic Decision ◽  
Political Decision ◽  
Agent Based ◽  
Response Choice ◽  
Decision Making Processes ◽  
Using Data

Most strategic decision-making (SDM) approaches advocate the importance of decision-making processes and response choices for obtaining effective outcomes. Modern decision-making support system (DMSS) technology is often also needed for complex SDM, with recent research calling for more integrative DMSS approaches. However, scholars tend to take disintegrated approaches and disagree on whether rational or political decision-making processes result in more effective decision outcomes. In this study, the authors examine these issues by first exploring some of the competing theoretical arguments for the process-choice-effectiveness relationship, and then test these relationships empirically using data from a crisis response training exercise using an intelligent agent-based DMSS. In contrast to prior research, findings indicate that rational decision processes are not effective in crisis contexts, and that political decision processes may negatively influence both response choice and decision effectiveness. These results offer empirical evidence to confirm prior unsupported arguments that response choice is an important mediating factor between the decision-making process and its effectiveness. The authors conclude with a discussion of the implications of these findings and the application of agent-based simulation DMSS technologies for academic research and practice.

Examining the Implications of Process and Choice for Strategic Decision Making Effectiveness

2012 ◽  
pp. 147-162
Author(s):  
Paul L. Drnevich ◽  
Thomas H. Brush ◽  
Alok Chaturvedi
Keyword(s):  
Decision Making ◽  
Academic Research ◽  
Decision Processes ◽  
Strategic Decision ◽  
Strategic Decision Making ◽  
Political Decision ◽  
Agent Based ◽  
Response Choice ◽  
Decision Making Processes ◽  
Using Data

Most strategic decision-making (SDM) approaches advocate the importance of decision-making processes and response choices for obtaining effective outcomes. Modern decision-making support system (DMSS) technology is often also needed for complex SDM, with recent research calling for more integrative DMSS approaches. However, scholars tend to take disintegrated approaches and disagree on whether rational or political decision-making processes result in more effective decision outcomes. In this study, the authors examine these issues by first exploring some of the competing theoretical arguments for the process-choice-effectiveness relationship, and then test these relationships empirically using data from a crisis response training exercise using an intelligent agent-based DMSS. In contrast to prior research, findings indicate that rational decision processes are not effective in crisis contexts, and that political decision processes may negatively influence both response choice and decision effectiveness. These results offer empirical evidence to confirm prior unsupported arguments that response choice is an important mediating factor between the decision-making process and its effectiveness. The authors conclude with a discussion of the implications of these findings and the application of agent-based simulation DMSS technologies for academic research and practice.

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