Algorithmic Decision-Making in Organizations: Network Data Mining, Measuring and Monitoring Work Performance, and Managerial Control Social Sciences, Sociology, Management and complex organizations

2019 ◽  
Vol 7 (2) ◽  
pp. 7
Keyword(s):  
Social Sciences ◽  
Data Mining ◽  
Decision Making ◽  
Work Performance ◽  
Network Data ◽  
Managerial Control ◽  
Complex Organizations

A Novel Technique on Autism Spectrum Disorders Using Classification Techniques

2021 ◽  
pp. 40-53
Author(s):  
Jyoti Bhola ◽  
Gaurav Dhiman ◽  
Tarun Singhal ◽  
Guna Sekhar Sajja
Keyword(s):  
Neural Network ◽  
Data Mining ◽  
Decision Making ◽  
Autism Spectrum Disorder ◽  
Artificial Neural Network ◽  
Autism Spectrum Disorders ◽  
Autism Spectrum ◽  
Network Data ◽  
Novel Technique ◽  
Use Of Resources

Over the last few years, academic institutions have conducted a number of programmes to help school boards, colleges, and schools of autism spectrum educating pupils (ASD). Autism spectrum disorder (ASD) is a complicated neurological disorder which affects many skills over a lifetime. The main aim of the chapter is to examine the topic of autism and identify autism levels with furious logic classification algorithms using the artificial neural network. Data mining has generally been recognized as a method of decision making to promote higher use of resources for autism students.

Data Mining for the Social Sciences

2015 ◽  
Author(s):  
Paul Attewell ◽  
David Monaghan
Keyword(s):  
Social Sciences ◽  
Data Mining ◽  
The Social

scholarly journals Emotional Labour and the Autonomy of Dependent Self-Employed Workers: The Limitations of Digital Managerial Control in the Home Credit Sector

2021 ◽  
pp. 095001702097950
Author(s):  
Esme Terry ◽  
Abigail Marks ◽  
Arek Dakessian ◽  
Dimitris Christopoulos
Keyword(s):  
Decision Making ◽  
Digital Control ◽  
Managerial Control ◽  
Emotional Labour ◽  
Labour Process ◽  
Heterogeneous Nature ◽  
Worker Autonomy ◽  
The Impact

Changes to the labour process in the home credit sector have exposed the industry’s agency workforce to increased levels of digital managerial control through the introduction of lending applications and algorithmic decision-making techniques. This article highlights the heterogeneous nature of the impact of digitalisation on the labour process and worker autonomy – specifically, in terms of workers’ engagement in unquantified emotional labour. By considering the limitations of digital control in relation to qualitative elements of the labour process, it becomes evident that emotional labour has the scope to be a source of autonomy for dependent self-employed workers when set against a backdrop of heightened digital control. This article therefore contributes to ongoing labour process debates surrounding digitalisation, quantified workers and digital managerial control.

A hybrid model using data mining and multi-criteria decision-making methods for landslide risk mapping at Golestan Province, Iran

2021 ◽  
Vol 80 (15) ◽  
Author(s):  
Elham Rafiei Sardooi ◽  
Ali Azareh ◽  
Tayyebeh Mesbahzadeh ◽  
Farshad Soleimani Sardoo ◽  
Eric J. R. Parteli ◽  
...  
Keyword(s):  
Data Mining ◽  
Decision Making ◽  
Hybrid Model ◽  
Risk Mapping ◽  
Landslide Risk ◽  
Multi Criteria Decision Making ◽  
Golestan Province ◽  
Using Data
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