Mutual Correlation-based Optimal Slicing for Preserving Privacy in Data Publishing

2017 ◽  
pp. 593-601
Author(s):  
K. Ashoka ◽  
B. Poornima
Keyword(s):  
Data Publishing ◽  
Mutual Correlation

Mutual Correlation-Based Anonymization for Privacy Preserving Medical Data Publishing

2018 ◽  
pp. 304-319
Author(s):  
Ashoka Kukkuvada ◽  
Poornima Basavaraju
Keyword(s):  
Privacy Preservation ◽  
Information Gain ◽  
Personal Data ◽  
Privacy Preserving ◽  
Medical Data ◽  
Innovative Approach ◽  
Data Publishing ◽  
Mutual Correlation ◽  
Data Utility ◽  
Data Elements

Currently the industry is focused on managing, retrieving, and securing massive amounts of data. Hence, privacy preservation is a significant concern for those organizations that publish/share personal data for vernacular analysis. In this chapter, the authors presented an innovative approach that makes use of information gain of the quasi attributes with respect to sensitive attributes for anonymizing the data, which gives the fruitfulness of an attribute in classifying the data elements, which is a two-way correlation among attributes. The authors show that the proposed approach preserves better data utility and has lesser complexity than former methods.

Mutual Correlation-Based Anonymization for Privacy Preserving Medical Data Publishing

2019 ◽  
pp. 644-659
Author(s):  
Ashoka Kukkuvada ◽  
Poornima Basavaraju
Keyword(s):  
Privacy Preservation ◽  
Information Gain ◽  
Personal Data ◽  
Privacy Preserving ◽  
Medical Data ◽  
Innovative Approach ◽  
Data Publishing ◽  
Mutual Correlation ◽  
Data Utility ◽  
Data Elements

Currently the industry is focused on managing, retrieving, and securing massive amounts of data. Hence, privacy preservation is a significant concern for those organizations that publish/share personal data for vernacular analysis. In this chapter, the authors presented an innovative approach that makes use of information gain of the quasi attributes with respect to sensitive attributes for anonymizing the data, which gives the fruitfulness of an attribute in classifying the data elements, which is a two-way correlation among attributes. The authors show that the proposed approach preserves better data utility and has lesser complexity than former methods.

Additive-multiplicative description of extrathermodynamic relations: Application to solvent effect

1990 ◽  
Vol 55 (3) ◽  
pp. 634-643 ◽  
Author(s):  
Oldřich Pytela
Keyword(s):  
Solvent Effect ◽  
Additive Model ◽  
Multiplicative Model ◽  
Data Matrix ◽  
Statistical Parameters ◽  
Model Application ◽  
Mutual Correlation ◽  
Linear Free Energy ◽  
Cross Terms ◽  
Energy Relationships

The paper is focused on evaluation of significance of the additive-multiplicative model of extrathermodynamic relations (linear free energy relationships) as compared with the additive model. Application of the method of conjugated deviations to a data matrix describing manifestations of solvent effects in 367 processes in solutions (6 334 data) has shown that introduction of cross-terms into the additive model is statistically significant for a model with two and particularly three parameters. At the same time the calculation has provided a new set of statistical parameters for description of solvent effect with application of the additive-multiplicative model. Compared with an analogous set designated for the additive model, the new parameters show a lower mutual correlation, retaining the same nature of the properties described, i.e. polarity-acidity (PAC parameter), polarity-basicity (PBC), and polarity-polarizability (PPC).

Adipocytes derived fibrinolytic components in peritoneum — a pilot study

Open Medicine ◽  
2012 ◽  
Vol 7 (5) ◽  
pp. 604-609
Author(s):  
Sylvie Opatrna ◽  
Marie Korabečná ◽  
Věra Křížková ◽  
Zbynek Tonar ◽  
Jitka Kočová ◽  
...  
Keyword(s):  
Adipose Tissue ◽  
Plasminogen Activator ◽  
Cellular Localization ◽  
Plasminogen Activator Inhibitor ◽  
Immunohistochemical Localization ◽  
Related Factors ◽  
Mutual Correlation ◽  
Transport Characteristic ◽  
Diabetes Status ◽  
Pai 1

AbstractThe proteins of the fibrinolytic system — urokinase plasminogen activator(uPA), tissue plasminogen activator (tPA)and plasminogen activator inhibitor type IPAI-I) — play important roles in fibrotization in various organs and including peritoneum. To study the cellular localization of PAI-1, tPA and uPA within the adipose tissue of the peritoneal membrane in patients at the onset of peritoneal dialysis(PD) we determined the initial expression of these proteins in relationship to multiple clinical variables. Methods: routinely performed parietal peritoneal biopsies in 12 patients undergoing peritoneal catheter implantation were examined. We used formalinfixed, paraffin-embedded specimens for immunohistochemical localization of these proteins along with the stereological pointcounting method for quantification of their expression within the peritoneal adipose tissue. Results: strong positive mutual correlation between the expression of PAI-1 and both uPA (SpearmanR=0.66) and tPA (R=0.59) as well as between the expression of uPA and tPA (R=0.77) was found without any relatioship to BMI, age, peritoneal transport characteristic or diabetes status. Conclusion: Adipose tissue within the peritoneum is capable of producing fibrinolysis regulators (independently on clinical parameters) thus possibly affecting the fibrotization and function of peritoneum as dialysis membrane. The effect of dialysis solution dosing, composition and other dialysis related factors should be clarified in future studies.

Privacy-aware location data publishing

2010 ◽  
Vol 35 (3) ◽  
pp. 1-42 ◽  
Author(s):  
Haibo Hu ◽  
Jianliang Xu ◽  
Sai Tung On ◽  
Jing Du ◽  
Joseph Kee-Yin Ng
Keyword(s):  
Data Publishing ◽  
Location Data
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