Trade-Off between Disclosure Risk and Information Loss Using Multivariate Microaggregation: A Case Study on Business Data

2004 ◽  
pp. 307-322 ◽  
Author(s):  
Josep A. Sànchez ◽  
Julià Urrutia ◽  
Enric Ripoll
Keyword(s):  
Information Loss ◽  
Trade Off ◽  
Disclosure Risk ◽  
Business Data

scholarly journals Fuzzy clustering-based microaggregation to achieve probabilistic k-anonymity for data with constraints

2020 ◽  
Vol 39 (5) ◽  
pp. 5999-6008
Author(s):  
Vicenç Torra
Keyword(s):  
Fuzzy Clustering ◽  
Information Loss ◽  
Linear Constraints ◽  
Data Driven ◽  
Trade Off ◽  
Fuzzy C Means ◽  
Disclosure Risk ◽  
Protection Method ◽  
Good Trade

Microaggregation is an effective data-driven protection method that permits us to achieve a good trade-off between disclosure risk and information loss. In this work we propose a method for microaggregation based on fuzzy c-means, that is appropriate when there are constraints (linear constraints) on the variables that describe the data. Our method leads to results that satisfy these constraints even when the data to be masked do not satisfy them.

Developing Schedule With Linear Programming (Case Study: STTF II Project Komplek Sukamukti Banjaran)

2020 ◽  
Vol 4 (02) ◽  
pp. 34-45
Author(s):  
Naufal Dzikri Afifi ◽  
Ika Arum Puspita ◽  
Mohammad Deni Akbar
Keyword(s):  
Linear Programming ◽  
Objective Function ◽  
Project Scheduling ◽  
Time Limit ◽  
Minimum Time ◽  
Service Cost ◽  
Trade Off ◽  
Overtime Work ◽  
The Cost

Shift to The Front II Komplek Sukamukti Banjaran Project is one of the projects implemented by one of the companies engaged in telecommunications. In its implementation, each project including Shift to The Front II Komplek Sukamukti Banjaran has a time limit specified in the contract. Project scheduling is an important role in predicting both the cost and time in a project. Every project should be able to complete the project before or just in the time specified in the contract. Delay in a project can be anticipated by accelerating the duration of completion by using the crashing method with the application of linear programming. Linear programming will help iteration in the calculation of crashing because if linear programming not used, iteration will be repeated. The objective function in this scheduling is to minimize the cost. This study aims to find a trade-off between the costs and the minimum time expected to complete this project. The acceleration of the duration of this study was carried out using the addition of 4 hours of overtime work, 3 hours of overtime work, 2 hours of overtime work, and 1 hour of overtime work. The normal time for this project is 35 days with a service fee of Rp. 52,335,690. From the results of the crashing analysis, the alternative chosen is to add 1 hour of overtime to 34 days with a total service cost of Rp. 52,375,492. This acceleration will affect the entire project because there are 33 different locations worked on Shift to The Front II and if all these locations can be accelerated then the duration of completion of the entire project will be effective

Selecting packaging material for dry food products by trade‐off of sustainability and performance: A case study on cookies and milk powder

2021 ◽  
Vol 34 (5) ◽  
pp. 303-318
Author(s):  
Maarten Baele ◽  
An Vermeulen ◽  
Dimitri Adons ◽  
Roos Peeters ◽  
Angelique Vandemoortele ◽  
...  
Keyword(s):  
Milk Powder ◽  
Food Products ◽  
Packaging Material ◽  
Trade Off ◽  
Dry Food ◽  
And Performance

scholarly journals A design methodology for approximate multipliers in convolutional neural networks: A case of MNIST

2021 ◽  
Vol 10 (1) ◽  
pp. 1
Author(s):  
Kenta Shirane ◽  
Takahiro Yamamoto ◽  
Hiroyuki Tomiyama
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Convolutional Neural Network ◽  
Design Methodology ◽  
Critical Path ◽  
High Accuracy ◽  
Path Delay ◽  
Trade Off ◽  
Critical Path Delay

In this paper, we present a case study on approximate multipliers for MNIST Convolutional Neural Network (CNN). We apply approximate multipliers with different bit-width to the convolution layer in MNIST CNN, evaluate the accuracy of MNIST classification, and analyze the trade-off between approximate multiplier’s area, critical path delay and the accuracy. Based on the results of the evaluation and analysis, we propose a design methodology for approximate multipliers. The approximate multipliers consist of some partial products, which are carefully selected according to the CNN input. With this methodology, we further reduce the area and the delay of the multipliers with keeping high accuracy of the MNIST classification.

scholarly journals Examining Disclosure Risk and Data Utility: An Administrative Data Case Study

2014 ◽  
Vol 9 (1) ◽  
pp. 12-24
Author(s):  
Michael Comerford
Keyword(s):  
Administrative Data ◽  
Real World ◽  
Data Sources ◽  
Sufficient Data ◽  
Ethical Challenges ◽  
Data Utility ◽  
Disclosure Risk ◽  
Individual Privacy

The plethora of new data sources, combined with a growing interest in increased access to previously unpublished data, poses a set of ethical challenges regarding individual privacy. This paper sets out one aspect of those challenges: the need to anonymise data in such a form that protects the privacy of individuals while providing sufficient data utility for data users. This issue is discussed using a case study of Scottish Government’s administrative data, in which disclosure risk is examined and data utility is assessed using a potential ‘real-world’ analysis.

scholarly journals Synthetic Business Microdata

2020 ◽  
Vol 10 (2) ◽  
Author(s):  
Chien-Hung Chien ◽  
Alan Hepburn Welsh ◽  
John D Moore
Keyword(s):  
Synthetic Data ◽  
Data Access ◽  
Australian Bureau ◽  
Trade Off ◽  
Information Reduction ◽  
Input And Output ◽  
Business Data ◽  
Business Survey ◽  
Australian Bureau Of Statistics ◽  
Inform Decision Making

Enhancing microdata access is one of the strategic priorities for the Australian Bureau of Statistics (ABS) in its transformation program. However, balancing the trade-off between enhancing data access and protecting confidentiality is a delicate act. The ABS could use synthetic data to make its business microdata more accessible for researchers to inform decision making while maintaining confidentiality. This study explores the synthetic data approach for the release and analysis of business data. Australian businesses in some industries are characterised by oligopoly or duopoly. This means the existing microdata protection techniques such as information reduction or perturbation may not be as effective as for household microdata. The research focuses on addressing the following questions: Can a synthetic data approach enhance microdata access for the longitudinal business data? What is the utility and protection trade-off using the synthetic data approach? The study compares confidentialised input and output approaches for protecting confidentiality and analysing Australian microdata from business survey or administrative data sources.

scholarly journals Leveraging Business Data Analytics and Machine Learning Techniques for Competitive Advantage: Case Study Evidence from Small Businesses

2021 ◽  
Vol 2 (1) ◽  
pp. 73-87
Author(s):  
Rathimala Kannan ◽  
Intan Soraya Rosdi ◽  
Kannan Ramakrishna ◽  
Haziq Riza Abdul Rasid ◽  
Mohamed Haryz Izzudin Mohamed Rafy ◽  
...  
Keyword(s):  
Machine Learning ◽  
Competitive Advantage ◽  
Small Businesses ◽  
Data Analytics ◽  
Research Question ◽  
Machine Learning Techniques ◽  
Multiple Sources ◽  
Learning Techniques ◽  
Business Data

Data analytics is the essential component in deriving insights from data obtained from multiple sources. It represents the technology, methods and techniques used to obtain insights from massive datasets. As data increases, companies are looking for ways to gain relevant business insights underneath layers of data and information, to help them better understand new business ventures, opportunities, business trends and complex challenges. However, to date, while the extensive benefits of business data analytics to large organizations are widely published, micro, small, and medium sized organisations have not fully grasped the potential benefits to be gained from data analytics using machine learning techniques. This study is guided by the research question of how data analytics using machine learning techniques can benefit small businesses. Using the case study method, this paper outlines how small businesses in two different industries i.e. healthcare and retail can leverage data analytics and machine learning techniques to gain competitive advantage from the data. Details on the respective benefits gained by the small business owners featured in the two case studies provide important answers to the research question.

scholarly journals Balancing the demands of validity and reliability in practice: Case study of a changing system of primary science summative assessment

2020 ◽  
Vol 18 (2) ◽  
Author(s):  
Sarah G. Earle
Keyword(s):  
Reliability And Validity ◽  
Summative Assessment ◽  
Teacher Assessment ◽  
Primary Science ◽  
Validity And Reliability ◽  
Trade Off

Teacher summative judgements of children’s attainment in science, which are statutory at age 11 in England, require consideration of both valid sampling of the construct and reliable comparison of outcomes. In order to develop understanding of the enacted ‘trade off’ between validity and reliability, this three-year case study, within the Teacher Assessment in Primary Science (TAPS) project, was undertaken during a period of statutory assessment change in England. The case demonstrates an ongoing balancing act between the demands of reliability and validity, and resulted in the development of a teacher assessment seesaw, which provides a model for both interpreting and supporting practice, within and beyond primary science.

FLEXIBILITY VS. SPECIALISATION IN RO-RO SHIPPING IN THE SOUTH BALTIC SEA

Transport ◽  
2012 ◽  
Vol 27 (3) ◽  
pp. 250-262 ◽  
Author(s):  
Johan Woxenius
Keyword(s):  
Baltic Sea ◽  
Transport System ◽  
Open Systems ◽  
The South ◽  
Trade Off ◽  
Short Sea Shipping ◽  
Trade Offs ◽  
Empirical Context ◽  
Selection Of

The trade-off between flexibility and specialisation implies delicate tasks for transport system designers and marketing managers. The outcome of their efforts ranges from highly specialised solutions for a restricted number of users and types of cargoes to very open systems for common use adapted to accommodate a wide variety of transport demands. The purpose of this article is to adapt theories on openness and trade-offs, characterise a selection of flexible and specialised European short sea shipping concepts and analyse how substantial changes in the future character of the competition with road and rail can affect the development of ro-ro shipping in the South Baltic Sea. A matrix with commercial openness and technological openness on the axes is used for categorising sub-segments in the empirical context of the South Baltic Sea. Foreseeable changes in key cost and competition parameters until 2020 are taken into account in discussing potential scenarios. A plausible outcome for the ferry/ro-ro shipping segment is that a branch with slow services for unaccompanied freight will be diverted from the current homogenous market offerings. During the study, the Swedish Orient Line launched a service with these characteristics, which is analysed in a case study.

Left Behind: Labor Unions and Redistributive Policy under the Brazilian Workers’ Party

2021 ◽  
Author(s):  
Andrés Schipani
Keyword(s):  
Labor Unions ◽  
Party Organization ◽  
Strong Ties ◽  
Trade Off ◽  
Redistributive Policy ◽  
Left Behind ◽  
Redistributive Policies ◽  
Labor Leaders ◽  
Leftist Parties

How do leftist governments negotiate the trade-off between courting union support and maintaining the business sector’s trust? Scholars have argued that leftist parties will remain accountable to their labor base when powerful unions have strong ties to centralized leftist parties. However, I argue that strong party-union ties and party leadership centralization may, in fact, insulate leftist presidents against redistributive pressures from below. When party-union ties allow labor leaders to develop careers as professional politicians, these leaders become more responsive to the party’s goals than to their union base. Further, a centralized party organization can exclude unions and leftist factions from the design of redistributive policies. To test my argument, I use a case study of Brazil under the administration of the Worker’s Party (PT).

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