Empirical analysis of rough set categorical clustering techniques based on rough purity and value set

Clustering a set of objects into homogeneous groups is a fundamental operation in data mining. Recently, attention has been put on categorical data clustering, where data objects are made up of non-numerical attributes. The implementation of several existing categorical clustering techniques is challenging as some are unable to handle uncertainty and others have stability issues. In the process of dealing with categorical data and handling uncertainty, the rough set theory has become well-established mechanism in a wide variety of applications including databases. The recent techniques such as Information-Theoretic Dependency Roughness (ITDR), Maximum Dependency Attribute (MDA) and Maximum Significance Attribute (MSA) outperformed their predecessor approaches like Bi-Clustering (BC), Total Roughness (TR), Min-Min Roughness (MMR), and standard-deviation roughness (SDR). This work explores the limitations and issues of ITDR, MDA and MSA techniques on data sets where these techniques fails to select or faces difficulty in selecting their best clustering attribute. Accordingly, two alternative techniques named Rough Purity Approach (RPA) and Maximum Value Attribute (MVA) are proposed. The novelty of both proposed approaches is that, the RPA presents a new uncertainty definition based on purity of rough relational data base whereas, the MVA unlike other rough set theory techniques uses the domain knowledge such as value set combined with number of clusters (NoC). To show the significance, mathematical and theoretical basis for proposed approaches, several propositions are illustrated. Moreover, the recent rough categorical techniques like MDA, MSA, ITDR and classical clustering technique like simple K-mean are used for comparison and the results are presented in tabular and graphical forms. For experiments, data sets from previously utilized research cases, a real supply base management (SBM) data set and UCI repository are utilized. The results reveal significant improvement by proposed techniques for categorical clustering in terms of purity (21%), entropy (9%), accuracy (16%), rough accuracy (11%), iterations (99%) and time (93%). vi

How do Companies Promote Luxury Brands in United Arab Emirates?

Luxury – a word most brands would want to be characterized as. Being a social marker, luxury brands play a key role in the creation of human identity – it influences how they dress and enables them to signify a certain lifestyle. In the past it was fairly easy to brand luxury, as competition was moderate and consumers were quite easy to define and the tendency of consumers to remain loyal and uncritical towards a single-brand.[1] Keeping the above in view, the study was designed to analyze the promotional strategies of three well known automotive brands present in United Arab Emirates. The study indicated that the companies used almost the same modes and mediums for promoting their respective brands. [1] Reference: Kapferer & Bastien, 2009, p. 18 & Okonkwo, 2007, p. 3, 6

Impact of Covid-19 on informal employment: A case study of women domestic workers in Khyber Pakhtunkhwa, Pakistan

COVID-19 indiscriminately impacted all the segments of the global society. Due to the unstructured job market, women in the informal sector were at high risk to experience the adverse effects of the pandemic. This paper aims to explore the impact of COVID-19 on women domestic workers and their families. Semi structured interviews conducted with fifty-four women domestic workers in three districts of Khyber Pakhtunkhwa, Pakistan were analyzed in five themes: disruption caused by lockdown, loss of livelihood, economic hardships, social support mechanism, and challenges faced during the pandemic. The study underlines that the pandemic left severe impacts on access to basic services, employment, food security at household level and pattern of expenditures. The plummeting economic activities led to sudden drops in earnings that forced families to sell their assets and incur debts. Respondents lamented over the social support system and considered it a necessary but not sufficient condition for uplifting the lives of the poor. Strains in marital relationships led to stress, anxiety and domestic violence among families. The utmost concern was the restoration of economic activities and urgent policy interventions to strengthen social safety measures for the vulnerable segments of society

Influence of dental status on nutritional status of geriatric patients

Man's number one goal has always been to be in perfect health. In addition to the patient's socioeconomic status and eating habits, the patient's age is a major factor in the development of a number of medical illnesses and diseases that have a nutritional component. The goal of this study is to put together what has been learned about the relationship between food and oral health in older people from other studies. A cross-sectional study needs to gather clinical data. Six months at the RAK College of Dental Sciences' outpatient center. The data for the study came from the older people who went to the RAK outpatient center. Patients are chosen for samples based on their health and culture, which is separated by gender. There may be a total of 40 people, with about 20 men and 20 women. Patients of both sexes are put into groups based on their habits and health problems. The patients will be given a piece of paper with a list of questions on it. Most patients, regardless of age or gender, were labeled with cardiovascular and endocrine diseases.&nbsp

Details of respondents.

Details of respondents.</p

Verbal informed consent form for participant and demographic details of respondents in three Districts.

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Demographic details of respondents.

Demographic details of respondents.</p

Descriptive statistics of demographic details.

Descriptive statistics of demographic details.</p