A Comparative Analysis of Classification Techniques on Categorical Data in Data Mining

In recent years, huge amount of data is stored in database which is increasing at a tremendous speed. This requires need for some new techniques and tools to intelligently analyze large data sets to acquire useful information. This growing need demands for a new research field called Knowledge Discovery in Databases (KDD) or Data Mining. The main objective of the data mining process is to extract information from a large data set and transform it into some meaningful form for further use. Classification is the one of data mining techniques which is used to classify categorical data item in a set of data into one of predefined set of classes or groups, In this paper, the goal is to provide a comprehensive analysis of different classification techniques in data mining that includes decision tree, Bayesian networks, k-nearest neighbor classifier & artificial neural network. DOI: 10.17762/ijritcc2321-8169.15081

Alienation or Assimilation: The Problem of Indian Diaspora in the Select Novel of Bharati Mukherjee and Jhumpa Lahiri

The migration of human beings has always been found in quest for a better life and future. Since the very beginning of the archaic world of human perception till today, the human migration has been continued in the exploration of better life, progress, prosperity, happiness and contentment but often it found only struggle and discontentment due to social, emotional or psychological disorder in the cultural background of detachment or alienation. Many branches of knowledge try to explore such migration in their terms and origination of human beings. In literature such migration comes to be studied under the head of Diaspora which deals with the literary sensibility of human beings and reveals certain features like nostalgia, homesickness, identity crisis, alienation, assimilation, cultural discourses and social upheavals that are fully responsible for the misfortunes of such migrant communities, located, dislocated and relocated without roots into the different parts of the world. The condition of such migrant people living under the umbrella of diaspora, has always been a dual state of mind which creates confusion and clashes into the sense of dislocation, alienation and other issues that these expatriates or immigrants deal with. Diasporic literature is exemplified with the perception of literature written on Diaspora or by Diaspora. The literary criteria of the diaspora, compresses the complexities and dynamic conditions of human migration: emigration and immigration. This paper explores the alienation or assimilation, the diasporic sensibility of Bharati Mukherjee and Jhumpa Lahiri in their selected novels, The Tiger’s Daughter, Jasmine and The Namesake respectively

Fixed point Results with Soft G- Metrc spaces

In the present paper, we prove fixed point results of mapping defined on soft G-metric space. Keywords: - Soft set, soft G-metric space, fixed point. Mathematics Subject Classification: - 47H10, 54H25

The Self-Actualization of Indian Diaspora in the Select Novels of Bharati Mukherjee and Jhumpa Lahiri

The migration of human beings into the various countries of the world, has been in the search of betterment of chances for their literary as well as the social contributions in the present era of the diasporic world for the second and the third generation of migrants communities. It has been a journey for establishing a new identity of self-actualization of any individuality in the context of Diaspora. The term self-actualization is coined and developed as the psychological term by Abraham Maslow to describe the growth of an individual towards the fulfillment of their highest social as well as the emotional requirements. Bharati Mukherjee and Jhumpa Lahiri are the Indian Diasporic writers of novels as well as short stories, who write about the problems of Indian Immigrants, especially with the perspectives of feminine immigrant sensibilities. Very skillfully, both of them portray the struggle of Indian women for self- actualization and establishing new identity of Indianness with the self-fascination of foreignness through their novels as well as short stories. Their feminine characters are the representations of contemporary women who strive to live their life on their owns with the portrayal of full potential and capabilities and become an individual, they want to be. Most of their writings seem autobiographical to the extent that they reflect the diasporic experiences of the migrants as they writers are. This paper aims to bring out the journey of the migration to self-actualization of the some portrayals of Bharati Mukherjee and Jhumpa Lahiri in their works, Jasmine and The Lowlands, respectively that leads them to fluid identities of a diasporic life. Jyoti, the protagonist of Jasmine, is an Indian Immigrant who faces the problems of acculturation and alienation in the United States of America while the self actualization of Gauri in The Lowland seems to be destroyed in the hands of destiny in self-fascination of the diasporic lowlands. Both of these protagonists try to assimilate themselves into the foreign country as well as culture but Jasmine of Mukherjee seems to gain an independent identity towards the end of the novel while Gauri seems to be erased her Indian identity of motherhood in the self-fascination of Americanization. The readers can find in Mukherje and Lahiri, very successful presentation of the predicaments of The Third World women with all their frustrations, longings, hopes and aspirations in an alien land of migration

Urban local air quality management framework for non-attainment areas in Indian cities

© 2017 Elsevier B.V. Increasing urban air pollution level in Indian cities is one of the major concerns for policy makers due to its impact on public health. The growth in population and increase in associated motorised road transport demand is one of the major causes of increasing air pollution in most urban areas along with other sources e.g., road dust, construction dust, biomass burning etc. The present study documents the development of an urban local air quality management (ULAQM) framework at urban hotspots (non-attainment area) and a pathway for the flow of information from goal setting to policy making. The ULAQM also includes assessment and management of air pollution episodic conditions at these hotspots, which currently available city/regional-scale air quality management plans do not address. The prediction of extreme pollutant concentrations using a hybrid model differentiates the ULAQM from other existing air quality management plans. The developed ULAQM framework has been applied and validated at one of the busiest traffic intersections in Delhi and Chennai cities. Various scenarios have been tested targeting the effective reductions in elevated levels of NOx and PM2.5 concentrations. The results indicate that a developed ULAQM framework is capable of providing an evidence-based graded action to reduce ambient pollution levels within the specified standard level at pre-identified locations. The ULAQM framework methodology is generalised and therefore can be applied to other non-attainment areas of the country

Leveraging a Randomized Key Matrix to Enhance the Security of Symmetric Substitution Ciphers

An innovative strategy to enhance the security of symmetric substitution ciphers is presented, through the implementation of a randomized key matrix suitable for various file formats, including but not limited to binary and text files. Despite their historical relevance, symmetric substitution ciphers have been limited by vulnerabilities to cryptanalytic methods like frequency analysis and known plaintext attacks. The aim of our research is to mitigate these vulnerabilities by employing a polyalphabetic substitution strategy that incorporates a distinct randomized key matrix. This matrix plays a pivotal role in generating a unique random key, comprising characters, encompassing both uppercase and lowercase letters, numeric, and special characters, to derive the corresponding ciphertext. The effectiveness of the proposed methodology in enhancing the security of conventional substitution methods for file encryption and decryption is supported by comprehensive testing and analysis, which encompass computational speed, frequency analysis, keyspace examination, Kasiski test, entropy analysis, and the utilization of a large language model.Comment: In Proceedings of the 10th IEEE Asia-Pacific Conference on Computer Science and Data Engineering 2023 (CSDE

The influence of odd-even car trial on fine and coarse particles in Delhi

The odd-even car trial scheme, which reduced car traffic between 08.00 to 20.00 h daily, was applied from 1–15 January 2016 (winter scheme, WS) and 15–30 April 2016 (summer scheme, SS). The daily average PM2.5 and PM10 exceeded national standards, with highest concentrations (313 μg m–3 and 639 μg m–3, respectively) during winter and lowest (53 μg m–3 and 130 μg m–3) during the monsoon (June–August). PM concentrations during the trials can be interpreted either as reduced or increased, depending on the periods used for comparison purposes. For example, hourly average net PM2.5 and PM10 (after subtracting the baseline concentrations) reduced by up to 74% during the majority (after 1100 h) of trial hours compared with the corresponding hours during the previous year. Conversely, daily average PM2.5 and PM10 were higher by up to 3–times during the trial periods when compared with the pre–trial days. A careful analysis of the data shows that the trials generated cleaner air for certain hours of the day but the persistence of overnight emissions from heavy goods vehicles into the morning odd–even hours (0800–1100 h) made them probably ineffective at this time. Any further trial will need to be planned very carefully if an effect due to traffic alone is to be differentiated from the larger effect caused by changes in meteorology and especially wind direction