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Text mining analysis of over 392 million compromised healthcare records

Koczkodaj Waldemar W., Nowacki Marek, Pedrycz Witold, Strzałka Dominik

Advances in Science and Technology. Research Journal

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2025

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Vol. 19, no. 2

73--81

EN

The U.S. Department of Health and Human Services (HHS) and the Office for Civil Rights (OCR) enforce federal civil rights laws. This study analyzed the collected data on healthcare data breaches, which affected over 392 million records in the USA from 21 October 2009 until 19 April 2024, using text mining. Using Latent Dirichlet Allocation (LDA) and the Elbow methods, five major topics for text mining analysis were established. The analysis allowed to identify key breach reasons for targeting effective remedial actions and increasing data security awareness.

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Monte Carlo validation of the pairwise comparisons method accuracy improvement for 3D objects

Koczkodaj Waldemar W., Kułakowski Konrad, Lau Meng Cheng, Pedrycz Witold, Pigazzini Alexander, Song Yingli, Strzałka Dominik, Żądło Tomasz

Advances in Science and Technology. Research Journal

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2025

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Vol. 19, no. 6

194--202

EN

A Monte Carlo study of the pairwise comparisons method has been designed to validate the accuracy improvement by the pairwise comparisons method for 3D objects. For this, not-so-irregular objects were randomly selected. It is important to emphasize that this study focuses on testing the accuracy of the method rather than the users’ skills. The users’ inability to assess the volume of unrestricted random objects (e.g., a porcupine) would only deviate the results. As a side product, semi-randomly generated 3D objects can also be useful in many other research areas, such as software validation and verification, microeconomics (consumer preferences for products), computer entertainment, and even agriculture (selecting of fruits and vegetables). Further generalizations incorporating additional dimensions, as a comparison of different investment opportunities, can be useful, for example in enhancing financial decision-making processes.

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On Orthogonal Projections on the Space of Consistent Pairwise Comparisons Matrices

Koczkodaj Waldemar W., Smarzewski Ryszard, Szybowski Jacek

Fundamenta Informaticae

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2020

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Vol. 172, nr 4

379--397

EN

In this study, the orthogonalization process for different inner products is applied to pairwise comparisons. Properties of consistent approximations of a given inconsistent pairwise comparisons matrix are examined. A method of a derivation of a priority vector induced by a pairwise comparison matrix for a given inner product has been introduced. The mathematical elegance of orthogonalization and its universal use in most applied sciences has been the motivating factor for this study. However, the finding of this study that approximations depend on the inner product assumed, is of considerable importance.