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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 · 7,426 accessesView PDFCite
Research ArticleOpen accessIn the abstractMolecular Characterization of Vaccine-Derived Mutants of Avian Metapneumoviruses Isolated from Turkeys in EgyptAbdel-Satar Arafa, Wessam Mady, Ahmed Hussein et al.Avian metapneumovirus (aMPV) causes acute respiratory infection in turkeys with sudden onset and rapid spread in the infected flocks. Vaccinated flocks frequently showed clinical signs typical like the non-vaccinated flocks in Egypt, this situation suggests a virulent vaccine virus was circulating in the field. Oropharyngeal and nasal sinus swabs were collected from 100 turkeys from 10 commercial farms with mild … …Current Research in Virology, Vol. 4, Issue 1 · 12 Aug 2015 · 12,754 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Survey of Anomaly Detection Using Data Mining Methods for Hypertext Transfer Protocol Web ServicesMohsen Kakavand, Norwati Mustapha, Aida Mustapha et al.In contrast to traditional Intrusion Detection Systems (IDSs), data mining anomaly detection methods/techniques has been widely used in the domain of network traffic data for intrusion detection and cyber threat. Data mining is widely recognized as popular and important intelligent and automatic tools to assist humans in big data security analysis and anomaly detection over IDSs. In this study we … …Journal of Computer Science, Vol. 11, Issue 1 · 22 Jan 2015 · 9,256 accessesView PDFCite
Research ArticleOpen accessIn the abstractFROM DATA MINING AND KNOWLEDGE DISCOVERY TO BIG DATA ANALYTICS AND KNOWLEDGE EXTRACTION FOR APPLICATIONS IN SCIENCESubana Shanmuganathan"Data mining" for "knowledge discovery in databases" and associated computational operations first introduced in the mid-1990 s can no longer cope with the analytical issues relating to the so-called "big data". The recent buzzword big data refers to large volumes of diverse, dynamic, complex, longitudinal and/or distributed data generated from instruments, sensors, Internet transactions, email, video, click streams, noisy, structured/unstructured … …Journal of Computer Science, Vol. 10, Issue 12 · 20 Jan 2015 · 8,743 accessesView PDFCite
Research ArticleOpen accessIn the abstractEFFICIENT RANKED AND SECURE FILE RETRIEVAL IN CLOUD COMPUTINGJ. Jospin Jeya, E. KannanCloud computing facilitates extremely scalable services that can be consumed over internet. An important aspect of the cloud services is that user data are stored remotely in unknown machines in which users do not posses or manage. Since the data’s are stored remotely, we have to keep in mind that sensitive cloud data have to be encrypted before they are … …American Journal of Applied Sciences, Vol. 11, Issue 6 · 3 Apr 2014 · 6,856 accessesView PDFCite
Research ArticleOpen accessIn the abstractPHYLOGENETIC ANALYSIS OF THE SWINE LEUKOCYTE ANTIGEN-6 GENE GENERATED FROM SPLEENTISSUE OF KOREAN NATIVE PIGJaeyoung Kim, Hyojun Park, Yoonchung Choi, Hoyoung ChungThis study was aimed to search genetic variants, to investigate phylogenetic relationships between pig breeds and to provide basic genetic information of Korean Native Pigs (KNP) using the variations of the Swine Leukocyte Antigen-6 (SLA-6) gene. Cloning of the Swine Leukocyte Antigen (SLA)-6 gene in the MHC non-classical region was performed with spleen tissues of Korean Native Pigs (KNP). Sequencing … …American Journal of Animal and Veterinary Sciences, Vol. 9, Issue 1 · 22 Feb 2014 · 7,236 accessesView PDFCite
Research ArticleOpen accessIn the abstractAUTHORSHIP CATEGORIZATION IN EMAIL INVESTIGATIONS USING FISHER’S LINEAR DISCRIMINANT METHOD WITH RADIAL BASIS FUNCTIONA. Pandian, Md. Abdul Karim SadiqEmail plays a vital role in faster communication. Lots of mails are sent to common public with falsified information that appears to be a realistic. It is mandatory to trace the origin of the email and the authors/systems responsible for generating such emails. Representative signatures of email are to be generated using lexical and syntactic based methods. The signature of … …Journal of Computer Science, Vol. 10, Issue 6 · 31 Jan 2014 · 6,690 accessesView PDFCite
Research ArticleOpen accessIn the abstractA BROADCAST BASED ROUTING PROTOCOL FOR INTER-CLUSTER DATA DISSEMINATION IN VEHICULAR COMMUNICATIONAuxeeliya Jesudoss, S. V. Kasmir Raja, Ashraph SulaimanVehicular communication is one of the fast growing and promising technologies for a safe and comfortable driving environment. These technologies do not end up with economic and safety ramifications, but also extended with other informational and entertainment oriented services. Data are being propagated multi-hop between source and destination vehicles for many real-life applications. Clustering is one of the effective and … …Journal of Computer Science, Vol. 10, Issue 5 · 30 Dec 2013 · 7,525 accessesView PDFCite
Research ArticleOpen accessIn the abstractA NOVEL APPROACH FOR TEST SUITE PRIORITIZATIONThangavel Prem Jacob, Thavasi Anandam RaviSoftware testing is an expensive, time consuming, important activity that controls the quality of the software and important part of the software development and the maintenance. In testing the time is spent mainly for generating test cases and to test them. Whenever the software product gets modified, a group of the test cases has to be re-executed and the new … …Journal of Computer Science, Vol. 10, Issue 1 · 12 Nov 2013 · 6,913 accessesView PDFCite
Research ArticleOpen accessIn the abstractA MODIFIED ADAPTIVE WAVELET SHRINKAGE SPECKLE FILTER FOR ULTRASOUND IMAGESNirmaladevi Periyasamy, Asokan RamasamyThe usage of ultrasound imaging for medical diagnosis is limited due to the presence of speckle noise. In this study Modified Adaptive Wavelet Shrinkage Filter (MAWSF) in the translational invariant domain is proposed for the removal of speckle noise. The adaptive wavelet threshold function removes the fixed bias of soft thresholding. A new inter-scale dependency model is proposed, to perform … …Journal of Computer Science, Vol. 9, Issue 10 · 16 Sep 2013 · 6,541 accessesView PDFCite