a survey on discrimination prevention in data mining
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a survey on discrimination prevention in data mining

A Survey on Discrimination Prevention in Data Mining

2020-4-19  For this basic, anti-discrimination strategies including discrimination disclosure and prevention have been proposed in data mining. To take care of such issues there are a few calculations exhibited by different creators around the world.

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A Survey on Direct and Indirect Discrimination

2014-12-17  Data mining, Discrimination Prevention, Direct and Indirect Discrimination 1. INTRODUCTION Data mining involves the extraction of implicit previously unknown and potentially useful knowledge from large databases. The important issue in data mining is discrimination. Discrimination can be viewed as the act of

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Survey on Anti discrimination in Data Mining

2016-4-23  prevent such situation, antidiscrimination techniques comprising discrimination discovery and prevention have been introduced in data mining. The primary goal of this survey paper is to review and identify advantages and limitations of discrimination discovery and discrimination prevention techniques.

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Survey of Approaches for Discrimination Prevention in

If the training data sets are biased with respect to the sensitive features, discriminatory decisions may occur. Antidiscrimination techniques including discrimination discovery and prevention have been introduced in data mining. The main purpose of this survey paper is to understand the existing approaches for discrimination prevention.

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Discrimination Discovery and Prevention in Data Mining: A ...

Jagriti Singh Int. Journal of Engineering Research and Applications ijera ISSN : 2248-9622, Vol. 4, Issue 6( Version 6), June 2014, pp.54-57 RESEARCH ARTICLE OPEN ACCESS Discrimination Discovery and Prevention in Data Mining: A Survey Jagriti Singh*, Prof. Dr. S. S. Sane** *Department of Computer Engineering, K. K. Wagh Institute of Engineering Education and Research, Nashik ...

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(PDF) Discrimination-aware data mining: a survey

In this paper, we tackle discrimination prevention in data mining and propose new techniques applicable for direct or indirect discrimination prevention individually or

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A Survey on Anti-Discrimination Techniques

2014-10-15  Data mining for intrusion and crime detection: mining for intrusion and crime detection. A new discrimination prevention method based on data transformation and the measures to evaluate the success in discrimination prevention and its impact on data quality are introduced in

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Discrimination-aware data mining: a survey

Downloadable (with restrictions)! Data mining is a very important and useful technique to extract knowledge from raw data. However, there is a challenge faced by data mining researchers, in the form of potential discrimination. Discrimination means giving unfair treatment to a person just because one belongs to a minority group, without considering one's individual merit or qualification.

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A survey on discrimination deterrence in data mining

2016-8-30  “Rule Protection for Indirect Discrimination Prevention in Data Mining”, in 2011 [10] - study to find combinations of attributes to get indirect discrimination with preprocessing with algorithm- 1,2 [10 ] - Prevention degree and protection preservation (DPD and DPP) used for results - antidiscrimination in the context of cyber security ...

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Preventing Discrimination In Data Mining - IJSER

2016-9-9  Discrimination prevention, the other major anti-discrimination aim in data mining, consists of inducing patterns which will do not lead to discriminatory decisions even if the original training data sets are biased. Three approaches are introduced. A. pre-processing Data preprocessing is an often neglected but important step ...

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Survey on Anti discrimination in Data Mining

2016-4-23  prevent such situation, antidiscrimination techniques comprising discrimination discovery and prevention have been introduced in data mining. The primary goal of this survey paper is to review and identify advantages and limitations of discrimination discovery and discrimination prevention techniques.

More

(PDF) Discrimination-aware data mining: a survey

In this paper, we tackle discrimination prevention in data mining and propose new techniques applicable for direct or indirect discrimination prevention individually or both at the same time.

More

Discrimination-aware data mining: a survey

Downloadable (with restrictions)! Data mining is a very important and useful technique to extract knowledge from raw data. However, there is a challenge faced by data mining researchers, in the form of potential discrimination. Discrimination means giving unfair treatment to a person just because one belongs to a minority group, without considering one's individual merit or qualification.

More

A survey on discrimination deterrence in data mining

2016-8-30  “Rule Protection for Indirect Discrimination Prevention in Data Mining”, in 2011 [10] - study to find combinations of attributes to get indirect discrimination with preprocessing with algorithm- 1,2 [10 ] - Prevention degree and protection preservation (DPD and DPP) used for results - antidiscrimination in the context of cyber security ...

More

Discrimination Discovery and Prevention in Data Mining

Keywords: Discrimination Discovery, Data Mining, Discrimination Prevention Technique Introduction Literature Survey Data mining is an important technology for Discrimination prevention has been extracting useful knowledge in large collections of recognized as

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A Survey on Antidiscrimination using Direct and Indirect ...

Data mining is the study of data for relationships that have not previously been discovered. In sociology, discrimination is the hurtful treatment of an individual based on the group, class or ...

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Preventing Discrimination In Data Mining - IJSER

2016-9-9  Discrimination prevention, the other major anti-discrimination aim in data mining, consists of inducing patterns which will do not lead to discriminatory decisions even if the original training data sets are biased. Three approaches are introduced. A. pre-processing Data preprocessing is an often neglected but important step ...

More

Survey on Discrimination Analysis and Sentimental

2020-4-1  prevention of discrimination in data mining for intrusion and crime detection. Data mining algorithm are used to prevent the direct and indirect discrimination. The data set obtained is free from the discrimination. In addition to detect the discrimination intrusion fraud and crime is also detected in the given dataset[1]. 3. Related Work ...

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A multidisciplinary survey on discrimination analysis

2013-3-1  The collection and analysis of observational and experimental data represent the main tools for assessing the presence, the extent, the nature, and the trend of discrimination phenomena. Data analysis techniques have been proposed in the last fifty years in the economic, legal, statistical, and, recently, in the data mining literature.

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AN APPROACH FOR DISCRIMINATION PREVENTION IN

CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): In the age of Database technologies a large amount of data is collected and analyzed by using data mining techniques. However, the main issue in data mining is potential privacy invasion and potential discrimination. One of the techniques used in data mining for making decision is classification.

More

Survey on Anti discrimination in Data Mining

2016-4-23  prevent such situation, antidiscrimination techniques comprising discrimination discovery and prevention have been introduced in data mining. The primary goal of this survey paper is to review and identify advantages and limitations of discrimination discovery and discrimination prevention techniques.

More

Survey on Direct and Indirect Discrimination Prevention ...

2017-9-7  Abstract— Data mining is a technology that extracts useful information, such as patterns and trends, from large amounts of ... Survey on Direct and Indirect Discrimination Prevention Attribute Method and Evaluation Parameter Rajni Mishra, Asst. Prof. Sandeepkumar, Prof.Aishwarya Mishra ... Taxonomy of discrimination prevention First Dimension ...

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Discrimination Discovery and Prevention in Data Mining

Keywords: Discrimination Discovery, Data Mining, Discrimination Prevention Technique Introduction Literature Survey Data mining is an important technology for Discrimination prevention has been extracting useful knowledge in large collections of recognized as

More

Preventing Discrimination In Data Mining - IJSER

2016-9-9  Discrimination prevention, the other major anti-discrimination aim in data mining, consists of inducing patterns which will do not lead to discriminatory decisions even if the original training data sets are biased. Three approaches are introduced. A. pre-processing Data preprocessing is an often neglected but important step ...

More

Direct and Indirect Discrimination Prevention in Data ...

2015-3-15  2.LITERATURE SURVEY J.Domingo-Ferrer et al. (2011) have developed a paper for rule protection for the indirect discrimination prevention in data mining. The datasets are trained and developed to make the classification rules to be extracted. Indirect discrimination rules cannot be extracted from the trained dataset. ...

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Survey on Discrimination Analysis and Sentimental

2020-4-1  prevention of discrimination in data mining for intrusion and crime detection. Data mining algorithm are used to prevent the direct and indirect discrimination. The data set obtained is free from the discrimination. In addition to detect the discrimination intrusion fraud and crime is also detected in the given dataset[1]. 3. Related Work ...

More

A multidisciplinary survey on discrimination analysis

2013-3-1  The collection and analysis of observational and experimental data represent the main tools for assessing the presence, the extent, the nature, and the trend of discrimination phenomena. Data analysis techniques have been proposed in the last fifty years in the economic, legal, statistical, and, recently, in the data mining literature.

More

STUDY OF PRIVACY DISCRIMINATION AND

2017-11-23  prevent discrimination in data mining. Discrimination can be done on attributes viz. religion, nationality, marital status and age. A large amount of data is collected by organization credit card companies, bank and insurance agencies. Thus, these collected data are

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AN APPROACH FOR DISCRIMINATION PREVENTION IN

CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): In the age of Database technologies a large amount of data is collected and analyzed by using data mining techniques. However, the main issue in data mining is potential privacy invasion and potential discrimination. One of the techniques used in data mining for making decision is classification.

More

Effect of Privacy Protection on Discrimination

2019-7-1  Discrimination Prevention Data is very important aspect in today’s world. However mere data is not useful for a specific individual or organizations. Data mining is a technique which finds the knowledge hidden in a raw data. However there are two problematic aspects related

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