Browsing by Author "Almeida, Tracy"

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    A COMPARATIVE STUDY OF 10+2 LEVEL COURSES AND ITS IMPACT ON THE ACADEMIC PERFORMANCE OF THE STUDENTS STUDYING IN THIRD YEAR, BACHELOR IN COMPUTER APPLICATIONS
    (SHODH SARITA Vol. 7, Issue 26, April-June, 2020, 2020) Almeida, Tracy
    The evolving needs of technical education compel students at the 10+ 2 level to adhere to meet the needs of the entry level eligibility criteria. Therefore students who are unable to pursue Higher Education (HE) in engineering and other technical disciplines now stand a chance to enhance their technical knowledge through educational programmes like Bachelors in Computer Science, Bachelors in Computer Applications (BCA) and Bachelors in Information Technology. BCA is one such programme offered at the Goa University in the ten colleges across the state of Goa. College courses are fundamentally different from high school courses and there needs to be a proper choice of subject courses at 10+2 level that will help students to bridge the gap and to meet the standards of HE (Conley et al, 2007). This paper seeks to ascertain the influence of a few educational attributes at the 10+2 level on the performance at TY in the BCAprogramme. It also intends to provide suggestions to students who intend doing HE in the BCAprogramme. Keywords : Bachelor in Computer Applications (BCA), Mathematics (Math), Higher Education (HE), Computer Techniques (CT), 10+2 level, First Year (FY), Third Year(TY).
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    High Utility Itemset Mining Using Genetic Approach
    (Advanced Informatics for Computing Research pp 143–150, 2022) Almeida, Tracy; Khan, Salman
    Frequent Itemset Mining(FIM) aims to generate itemsets having their frequency of occurrence not lesser than minimum support specified by the user. FIM does not consider the itemset utility which is the it’s profit value. High-utility itemset mining(HUIM) mines high-utility itemsets(HUI) from data. HUIM is a combinatorial optimization. With HUIM algorithms, the time required to search increases exponentially with an increasing number of transactions and database items. To address this issue an efficient algorithm to mine HUIs is proposed. The proposed algorithm uses a compact form of chromosome encoding by eliminating the itemsets with low transactional utilities. The algorithm employs methodology of self mutation to reduce generation of unwanted chromosomes. Experimental results have shown that the proposed algorithm finds HUIs for a given threshold value. The proposed algorithm consumes less time as compared to another HUIM algorithm HUIM-IGA.
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    High-Utility Itemset Mining using Fuzzy Sets
    (Smart Innovation, Systems and Technologies (SIST,volume 326), 2023) Khan, Salman; Almeida, Tracy
    High-utility itemset mining aims to mine itemsets with high utilities. Utility of an itemset is the profit value associated with it. However, high-utility itemsets are generated considering only the occurrence of the items in the database. These patterns do not contain any information about the utilities of the items in the transaction. This paper aims to generate high-utility itemsets containing information about the utilities of the items.