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24 articles for “Tree Data Structure”
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Research ArticleOpen accessIn the keywordsQuaternary Tree Structure as a Novel Method for Huffman Coding TreeAhsan Habib, Mohammed Jahirul Islam, Mohammad Shahidur RahmanThe binary code used by the current Huffman-based techniques slows down decoding speed. The quaternary Huffman coding method is a fresh take on the traditional Huffman coding that is suggested in this study. Each symbol is encoded into a quaternary code rather than a binary code using the quaternary Huffman coding technique. For Huffman coding, a quaternary code stream necessitates … …Journal of Computer Science, Vol. 19, Issue 9 · 24 Aug 2023 · 5,419 accessesView PDFCite
Research ArticleOpen accessIn the keywordsHuffman Based Code Generation Algorithms: Data Compression PerspectivesAhsan Habib, M. Jahirul Islam, M. Shahidur RahmanThis article proposes two dynamic Huffman based code generation algorithms, namely Octanary and Hexanary algorithm, for data compression. Faster encoding and decoding process is very important in data compression area. We propose tribit-based (Octanary) and quadbit-based (Hexanary) algorithm and compare the performance with the existing widely used single bit (Binary) and recently introduced dibit (Quaternary) algorithms. The decoding algorithms for … …Journal of Computer Science, Vol. 14, Issue 12 · 9 Dec 2018 · 7,701 accessesView PDFCite
Research ArticleOpen accessIn the keywordsFuzzy Based Secure Data Aggregation Technique in Wireless Sensor NetworksD. HevinRajesh, B. ParamasivanProblem statement: Secure data aggregation is a challenging task in wireless sensor network due to the facts like more complexity, greater overhead in the case of cryptographic techniques. These issues need to be overcome using efficient technique. Approach: We propose a fuzzy based secure data aggregation technique which was having 3 phases. In its first phase, it performs clustering and … …Journal of Computer Science, Vol. 8, Issue 6 · 17 Mar 2012 · 7,252 accessesView PDFCite
Research ArticleOpen accessIn the abstractEvaluation of Machine Learning Models to Predict Student Academic Performance Using Structured Educational DataHardik Ishwarbhai Patel, Dharmendra PatelThis study analyses the use of machine learning for predicting the academic performance of students using their academic information from the institution, combined with socio-economic information that comes from outside sources. The collection of information is done using structured questionnaires as well as through data extraction from the Student Information System (SIS). To increase the reliability of models built, a … …Journal of Computer Science, Vol. 22, Issue 5 · 26 May 2026 · 1,419 accessesView PDFCite
Research ArticleOpen accessIn the abstractBiodiversity and Spatial Distribution of Hornbills in Pondok Buluh Educational Forest, North Sumatra, IndonesiaBudi Utomo, Nabillah Saraswita, Cindy Siahaan et al.Hornbills are large birds, several species of which are protected under national and international conservation legislation and face significant extinction risk. This study was conducted in the Specific Purposes Pondok Buluh Forest Area, North Sumatra, Indonesia, with the aim of identifying hornbill species present, estimating their population density, and characterizing their habitat. Hornbill surveys were carried out using the point … …OnLine Journal of Biological Sciences, Vol. 26, Issue 1 · 28 Mar 2026 · 1,405 accessesView PDFCite
Research ArticleOpen accessIn the abstractComplex SQL-NoSQL Query Translation for Data Lake ManagementNurhadi, Rabiah Abdul Kadir, Ely Salwana Mat SurinA data lake refers to an extremely large data resource or repository. Data lakes store large amounts of data and use advanced analytics to pair data from multiple sources with different types of structured, semi-structured, and unstructured information. NoSQL databases such as Mongodb, Redis, Neo4j, and Cassandra are nontabular and they store data differently rather than use relational tables. NoSQL … …Journal of Computer Science, Vol. 18, Issue 12 · 19 Dec 2022 · 9,277 accessesView PDFCite
Research ArticleOpen accessIn the abstractResearch on the Link Between Economic Development Variables and the Rate of Access to Drinking Water in Rural Senegal Using Machine LearningAnabilaye Moussa Coly, Alioune Ly, Ndolane Diouf et al.After pre-processing a set of data collected from Senegalese state structures, official United Nations (UN), and world bank sites and after replacing missing values by interpolation using the mean between two values, we study the effect of macroeconomic development variables on the rate of access to drinking water in rural Senegal. To do this, we use Machine Learning (ML) techniques … …American Journal of Applied Sciences, Vol. 20, Issue 1 · 20 Dec 2023 · 6,204 accessesView PDFCite
Research ArticleOpen accessIn the abstractIs Single Scan based Restructuring Always a Suitable Approach to Handle Incremental Frequent Pattern Mining?Shafiul Alom Ahmed, Bhabesh NathIncremental mining of frequent patterns has attracted the attention of researchers in the last two decades. The researchers have explored the frequent pattern mining from incremental database problems by considering that the complete database to be processed can be accommodated in systems’ main memory even after the database gets updated very frequently. The FP-tree-based approaches were able to draw more … …Journal of Computer Science, Vol. 17, Issue 3 · 12 Mar 2021 · 6,923 accessesView PDFCite
Research ArticleOpen accessIn the abstractGenetic State of Pulsatilla Patens (L.) Mill. Coenopopulations Based on DNA LabelingRustem Saltanovich Beishov, Gulnar Sultangazina, Indira Saltanovna Beishova et al.In the article, the results of studying the gene pools of the Kazakhstan coenopopulations of a rare plant species Pulsatilla patens (L.) Mill. are shown. The biomaterial taken from five coenopopulations located in Northern Kazakhstan has been used as samples. To identify the multilocus DNA polymorphism, the authors have used ISSR (Inter Simple Sequence Repeats, or intermicrosatellite analysis) labeling. The … …OnLine Journal of Biological Sciences, Vol. 21, Issue 1 · 2 Apr 2021 · 5,944 accessesView PDFCite
Research ArticleOpen accessIn the abstractValidation of Global Financial Crisis on Bursa Malaysia Stocks Market Companies via Covariance StructureShamshuritawati Sharif, Suzilah Ismail, Zurni Omar, Low Huey ThengThe global financial crisis of 2007 to 2009 affects the economic development around the world. It started with US in 2007 and followed by Malaysia in 2008. The purpose of this study is to validate the impact before and beginning of the crisis on seventy seven Bursa Malaysia stocks market companies. Two data sets of 2007 and 2008 were used … …American Journal of Applied Sciences, Vol. 13, Issue 11 · 27 Oct 2016 · 7,568 accessesView PDFCite