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156 articles for “Data Clustering”
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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 abstractA CLUSTERING-BASED HYBRID REPLICA CONTROL PROTOCOL FOR HIGH AVAILABILITY IN GRID ENVIRONMENTRohaya Latip, Zulaile Mabni, Hamidah Ibrahim et al.In recent years, with the emergence of grid computing system, the number of distributed sites has become very large. When thousands of sites involved in a grid computing system, data replication can improve data availability, communication cost and provide fault-tolerance in the system. In the literature, many replica control protocols have been proposed for managing replicated data. However, in large … …Journal of Computer Science, Vol. 10, Issue 12 · 24 Dec 2014 · 8,490 accessesView PDFCite
Research ArticleOpen accessIn the abstractREVIEW CLUSTERING MECHANISMS OF DISTRIBUTED DENIAL OF SERVICE ATTACKSWesam Bhaya, Mehdi Ebady ManaaDistributed Denial of Service attacks (DDoS) overwhelm network resources with useless or harmful packets and prevent normal users from accessing these network resources. These attacks jeopardize the confidentiality, privacy and integrity of information on the internet. Since it is very difficult to set any predefined rules to correctly identify genuine network traffic, an anomaly-based Intrusion Detection System (IDS) for network … …Journal of Computer Science, Vol. 10, Issue 10 · 26 Jun 2014 · 7,643 accessesView PDFCite
Research ArticleOpen accessIn the abstractCLUSTERING TWEETS USING CELLULAR GENETIC ALGORITHMAmr Adel, Essam ElFakharany, Amr BadrAs the popularity of Twitter continues to increase rapidly, it is extremely necessary to analyze the huge amount of data that Twitter users generate. A popular method of tweet analysis is clustering. Because most tweets are textual, this study focuses on clustering tweets based on their textual content similarity. This study presents tweet clustering using cellular genetic algorithm cGA. The … …Journal of Computer Science, Vol. 10, Issue 7 · 16 Jun 2014 · 7,917 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 abstractA MODIFIED SPATIAL FUZZY C-MEANS CLUSTERING ALGORITHM FOR DETECTING GLAUCOMAIN RETINAL FUNDUS IMAGESS. J. Grace Shoba, A. Brintha ThereseGlaucoma is a disease which affects the eye and causes blindness. It is an ophthalmologist disease characterized by an increase in Intraocular Pressure (IOP). The glaucoma usually affects the optic disc on the retina which increases the cup size. There are various parameters to identify and diagnose glaucoma. The clustering technique is introduced to detect the glaucoma from the optic … …Journal of Computer Science, Vol. 10, Issue 8 · 5 Mar 2014 · 7,030 accessesView PDFCite
Research ArticleOpen accessIn the abstractVIRTUAL MINING MODEL FOR CLASSIFYING TEXT USING UNSUPERVISED LEARNINGS. Koteeswaran, E. Kannan, P. VisuIn real world data mining is emerging in various era, one of its most outstanding performance is held in various research such as Big data, multimedia mining, text mining etc. Each of the researcher proves their contribution with tremendous improvements in their proposal by means of mathematical representation. Empowering each problem with solutions are classified into mathematical and implementation models. … …American Journal of Applied Sciences, Vol. 11, Issue 5 · 20 Feb 2014 · 6,591 accessesView PDFCite
Research ArticleOpen accessIn the abstractCOMPARATIVE STUDY OF K-MEANS AND K-MEANS++ CLUSTERING ALGORITHMS ON CRIME DOMAINBashar Aubaidan, Masnizah Mohd, Mohammed AlbaredThis study presents the results of an experimental study of two document clustering techniques which are k-means and k-means++. In particular, we compare the two main approaches in crime document clustering. The drawback of k-means is that the user needs to define the centroid point. This becomes more critical when dealing with document clustering because each center point represented by … …Journal of Computer Science, Vol. 10, Issue 7 · 19 Feb 2014 · 7,767 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 BASED ON GENETIC FUZZY CLUSTERING AND ADAPTIVE NEURAL NETWORKS FOR SALES FORECASTINGAttariuas Hichama, Bouhorma Mohameda, El Fallahi AbdellahbThis article proposes a new hybrid sales forecasting system based on genetic fuzzy clustering and Back-Propagation (BP) Neural Networks with adaptive learning rate (GFCBPN).The proposed architecture consists of three stages: (1) utilizing Winter’s Exponential Smoothing method and Fuzzy C-Means clustering, all normalized data records will be categorized into k clusters; (2) using an adapted Genetic Fuzzy System (MCGFS), the fuzzy … …Journal of Computer Science, Vol. 9, Issue 8 · 2 Jul 2013 · 6,675 accessesView PDFCite