Sign inSubmit
Tips: “quotes” for a phrase · author:Lee · a DOI goes straight to its article

32 articles for “knowledge discovery”
Set a search alert
Research ArticleOpen accessIn the abstractAgent Based Grid Resource Discovery with Negotiated Alternate Solution and Non-Functional Requirement PreferencesP. Muthuchelvi, G.S. Anandha Mala, V. RamachandranProblem statement: As grid resources are geographically distributed, efficient resource discovery and management has become one of the important requirements. Besides, Grid users are independent identities and negotiation is necessary for reconciling their diverse characteristics. Therefore special mechanism was required to negotiate and discover the required resource or similar resource as an alternative when discovery fails. Moreover the quality of … …Journal of Computer Science, Vol. 5, Issue 3 · 31 Mar 2009 · 7,504 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Adjustable Sample Size Estimation Model for Usability AssessmentHaidar S. Jabbar, T.V. Gopal, Sattar J. AboudUsability assessment plays a fundamental role in discovering usability problems and the determination of the level of usability for a given software product. One crucial aspect in every usability assessment is the estimation of the sample size desired for a software product. Once we start estimating the sample size needed for a usability assessment, a baffling question comes in mind: … …American Journal of Applied Sciences, Vol. 4, Issue 8 · 31 Aug 2007 · 6,966 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Feasibility Study of Challenges and Opportunities in Computational Biology: A Malaysian PerspectiveR. J.A. Richard, N. SriraamThe term computational biology refers to the knowledge derived from a computer analysis of biological data that includes identification of genes in DNA sequence of different organisms, prediction of structural and functional mechanism of proteins, feature extraction and classification of genomics and proteomics. Computational biology is a rapidly developing branch of science and is highly interdisciplinary, using techniques and Concepts … …American Journal of Applied Sciences, Vol. 2, Issue 9 · 30 Sep 2005 · 6,924 accessesView PDFCite
EditorialOpen accessIn the abstractBig Data and Parkinson’s Disease - from Understanding of Disease to Personalised MedicineYen F. Tai, Nicola PaveseThe advancement of information technology in recent years has generated a huge amount of datasets in all areas of scientific research. This has led to new opportunities to harness the 'Big Data' to improve our understanding of diseases - from investigating disease mechanisms to monitoring treatment responses. The Big Data approach is a data-driven and often hypothesis-free, way of studying … …Neuroscience International, Vol. 7, Issue 1 · 27 Jul 2016 · 7,755 accessesView PDFCite
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