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39 results for “knowledge discovery”
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Research ArticleOpen accessIn the abstractAdaptive Classification Method Based on Data DecompositionAyman E. Khedr, Amira M. Idrees, Ahmed I. El SeddawyKnowledge discovery is one of the vital fields which strongly supports decision making by applying different techniques based on the targeted field and the required information. Focusing on clustering and classification techniques, this paper presents an approach for adapting one of the classification algorithms for supporting decision making procedure in radiology data analysis field. The proposed adaptation is based on … …Journal of Computer Science, Vol. 12, Issue 1 · 20 Feb 2016 · 7,423 accessesView PDFCite
Research ArticleOpen accessIn the abstractVisual Curvatures of H1N1 Incidences in African, Asian, European, American and Oceanic NationsRamalingam ShanmugamThe World Health Organization (WHO) was worried about the outbreak of H1N1 epidemic worldwide as it consumed several human lives. In a novel manner, this article defines, computes and illustrates the effectiveness of health administrators’ efforts to extinguish pandemic H1N1 using curvature concept. Data on weekly incidences of H1N1 in year 2009 among the nations in Africa, Asia, Europe, Americas … …Current Research in Medicine, Vol. 6, Issue 2 · 29 Oct 2015 · 6,942 accessesView PDFCite
Research ArticleOpen accessIn the abstractSpatial Pattern of Natural Spread of Rice False Smut (Ustilaginoidea virens) Disease in FieldsBodrun Nessa, Moin U. Salam, A.H.M. Mahfuzul Haque et al.Pattern of disease spread provides improved knowledge on how the pathogen introduces itself and interacts with environment in fields and expresses as a disease. It is especially significant when epidemiology of a disease, such as Rice False Smut (RFSm), is unclearly understood. Not reported before, this study attempted an analysis of spatial pattern of natural spread of RFSm in nine … …American Journal of Agricultural and Biological Sciences, Vol. 10, Issue 2 · 2 Jun 2015 · 8,644 accessesView PDFCite
Research ArticleOpen accessIn the abstractAN ALGORITHM FOR MINING USABLE RULES USING A HOLISTIC SWARM BASED APPROACHVeenu Mangat, Renu VigEvolutionary algorithms are capable of finding near optimal solutions to problems which are intractable to solve using conventional methods. One such problem is to accurately classify patients using rule mining methodology while controlling the size of output rules. A massive amount of data pertaining to medicine is generated and recorded daily. Uncovering useful knowledge and assisting decision makers in the … …Journal of Computer Science, Vol. 10, Issue 4 · 9 Dec 2013 · 6,667 accessesView PDFCite
Research ArticleOpen accessIn the abstractPredicting Missing Attribute Values Using k-Means ClusteringNambiraj Suguna, Keppana Gowder ThanushkodiProblem statement: Predicting the value for missing attributes is an important data preprocessing problem in data mining and knowledge discovery tasks. Several methods have been proposed to treat missing data and the one used more frequently is deleting instances containing at least one missing value of a feature. When the dataset has minimum number of missing attribute values then we … …Journal of Computer Science, Vol. 7, Issue 2 · 25 Feb 2011 · 7,873 accessesView PDFCite
Research ArticleOpen accessIn the abstractReducing Broadcast Overhead Using Clustering Based Broadcast Mechanism in Mobile Ad Hoc NetworkN. Karthikeyan, V. Palanisamy, K. DuraiswamyProblem statement: Network wide broadcasting is an important function in Mobile Ad Hoc Networks (MANET), which attempts to deliver packets from a source node to all other nodes in the network. Broadcasting is often very useful for route discovery, naming, addressing and helping multicast operations in all kinds of networks. For designing broadcast protocols for ad hoc networks, one of … …Journal of Computer Science, Vol. 5, Issue 8 · 31 Aug 2009 · 7,031 accessesView PDFCite
Research ArticleOpen accessIn the abstractProximity Aware Routing in Ad Hoc NetworksValerie Alandzi, Alejandro QuinteroMost of the existing routing protocols for ad hoc networks are designed to scale in networks of a few hundred nodes. They rely on state concerning all links of the network or links on the route between a source and a destination. This may result in poor scaling properties in larger mobile networks or when node mobility is high. Using … …Journal of Computer Science, Vol. 3, Issue 7 · 31 Jul 2007 · 6,733 accessesView PDFCite
Research ArticleOpen accessIn the abstractA framework to Deal with Missing Data in Data SetsLuai A. Shalabi, Mohannad Najjar, Ahmad A. KayedMost information systems usually have some missing values due to unavailable data. Missing values minimizing the quality of classification rules generated by a data mining system. Missing vales also affecting the quantity of classification rules achieved by the data mining system. Missing values could influence the coverage percentage and number of reducts generated. Missing values lead to the difficulty of … …Journal of Computer Science, Vol. 2, Issue 9 · 30 Sep 2006 · 7,134 accessesView PDFCite