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30 articles for “irrelevant data”
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Research ArticleOpen accessIn the abstractMissing Values Treatment and Feature Reduction Analysis to Enhance ClassificationD. Muralidharan, K. Renuka, Mulagala Jaswant et al.Datasets may have large number of features which makes it hard and time consuming to classify. Additionally, they may have irrelevant and noise features too with missing values. The missing values should be treated in a proper way so that the classifier accuracy can be improved. There is also a need to reduce features and select only the features necessary … …Journal of Computer Science, Vol. 16, Issue 2 · 20 Feb 2020 · 8,114 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Analysis of Heart Disease for Diabetic Patients Using Recursive Feature Elimination with Random ForestBindushree Doddasiddavanahalli Channabasavaraju, Udayarani VinayakamurthyData Mining Techniques are used in many areas like banking, healthcare, education because of extracting relevant information from the database. Many algorithms in data mining are used to predict the disease to reduce the patient treatment cost as well as increase the diagnosis accuracy. In this research work, the risk level of diabetic heart disease patient can be predicted using … …Journal of Computer Science, Vol. 16, Issue 1 · 27 Jan 2020 · 7,931 accessesView PDFCite
Research ArticleOpen accessIn the abstractA User-Driven Association Rule Mining Based on Templates for Multi-Relational DataCarlos Roberto Valêncio, Guilherme Henrique Morais, Márcio Zamboti Fortes et al.Data mining algorithms to find association rules are an important tool to extract knowledge from databases. However, these algorithms produce an enormous amount of rules, many of which could be redundant or irrelevant for a specific decision-making process. Also, the use of previous knowledge and hypothesis are not considered by these algorithms. On the other hand, most existing data mining … …Journal of Computer Science, Vol. 14, Issue 11 · 8 Nov 2018 · 7,442 accessesView PDFCite
Research ArticleOpen accessIn the abstractHigh Precision Latent Semantic Evaluation for Descriptive Answer AssessmentAmarjeet Kaur, M. Sasi KumarThis paper proposes an approach to evaluate student’s descriptive answers, using comparison-based approach in which student’s answer is compared with the standard answer. The standard answers contains domain specific knowledge as per the category (how, why, what, etc.) of questions asked in the examination. Several state-of-art claims that LSA correlates with the human assessor’s way of evaluation. With this as … …Journal of Computer Science, Vol. 14, Issue 10 · 17 Oct 2018 · 7,253 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Question Answering System on Holy Quran Translation Based on Question Expansion Technique and Neural Network ClassificationSuhaib Kh. Hamed, Mohd Juzaiddin Ab AzizIn spite of great efforts that have been made to present systems that support the user's need of the answers from the Holy Quran, the current systems of English translation of Quran still need to do more investigation in order to develop the process of retrieving the accurate verse based on user's question. The Islamic terms are different from one … …Journal of Computer Science, Vol. 12, Issue 3 · 26 Apr 2016 · 9,845 accessesView PDFCite
Research ArticleOpen accessIn the abstractComparison of Edge Detection Techniques Applied in the Identification of Centerline Segregation on Steel SlabsLuciene Coelho Lopez Queiroz, André Riyuiti HirakawaThe method Baumann, or Sulphur print as it is also known, is one of the tools used to evaluate the operating conditions of continuous casting machine and quality control of the production of steel slabs. The correct evaluation of centerline segregation severity, analyzed in Sulphur print, is essential to control this process. However, given the classification complexity between the different … …American Journal of Applied Sciences, Vol. 12, Issue 8 · 10 Sep 2015 · 6,821 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Layout Based Detachment Approach for Extracting Content from WebpagesDeepa Chandran, Anna Saro VijendranEnormous amount of useful information presented in Internet is usually formatted for the web users. But it is a really complex task to extract the relevant data from various web sources. Recently, various approaches for the extraction of data from the webpages were proposed. This study provides a simple but effective approach, named Layout Based Detachment Approach (LBDA). The proposed … …American Journal of Applied Sciences, Vol. 12, Issue 6 · 25 Jul 2015 · 6,345 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Novel Distinguishability Based Weighted Feature Selection Algorithms for Improved Classification of Gene Microarray DatasetJ. Jeyachidra, M. PunithavalliData mining played vital role in comprehending, analyzing, understanding and interpreting microarray technology expression data. That includes search for genes that had similar or correlated patterns of expression. For that, the feature selection was one of the frequently used important techniques for data preprocessing. Many feature selection algorithms had been developed. Yet the persisting problem was in selecting optimal subset … …Journal of Computer Science, Vol. 11, Issue 2 · 2 Feb 2015 · 6,376 accessesView PDFCite
Research ArticleOpen accessIn the abstractAN EFFICIENT AND VARIABLE INTERVAL REKEYING FOR DYNAMIC AD HOC MULTICAST GROUP USING KEY PATH REDUCTIONR. Pugalenthi, T. V. GopalKey distribution is one of the major issues in secure ad hoc multicast group communication. There has been an extensive research on rekeying, to reduce cost. In this study, we propose an efficient and scalable batch rekeying for dynamic ad hoc multicast group, with variable interval and key path reduction techniques. The proposed scheme overcomes the major existing issues like … …Journal of Computer Science, Vol. 10, Issue 7 · 16 Jun 2014 · 6,712 accessesView PDFCite
Research ArticleOpen accessIn the abstractHYBRID FEATURE SELECTION ALGORITHM FOR INTRUSION DETECTION SYSTEMSeyed Reza Hasani, Zulaiha Ali Othman, Seyed Mostafa Mousavi KahakiNetwork security is a serious global concern. Usefulness Intrusion Detection Systems (IDS) are increasing incredibly in Information Security research using Soft computing techniques. In the previous researches having irrelevant and redundant features are recognized causes of increasing the processing speed of evaluating the known intrusive patterns. In addition, an efficient feature selection method eliminates dimension of data and reduce redundancy … …Journal of Computer Science, Vol. 10, Issue 6 · 31 Jan 2014 · 7,350 accessesView PDFCite