Research ArticleOpen accessIn the abstractIntegrated Clustering and Feature Selection Scheme for Text Documents.M. Thangamani, P. ThangarajProblem statement: Text documents are the unstructured databases that contain raw data collection. The clustering techniques are used group up the text documents with reference to its similarity. Approach: The feature selection techniques were used to improve the efficiency and accuracy of clustering process. The feature selection was done by eliminate the redundant and irrelevant items from the text document … …Journal of Computer Science, Vol. 6, Issue 5 · 31 May 2010 · 7,165 accessesView PDFCite
Research ArticleOpen accessIn the abstractSingle Pass Seed Selection Algorithm for k-MeansK. Karteeka Pavan, Allam Appa Rao, A.V. Dattatreya Rao, G. R. SridharProblem statement: The k-means method is one of the most widely used clustering techniques for various applications. However, the k-means often converges to local optimum and the result depends on the initial seeds. Inappropriate choice of initial seeds may yield poor results. k-means++ is a way of initializing k-means by choosing initial seeds with specific probabilities. Due to the random … …Journal of Computer Science, Vol. 6, Issue 1 · 31 Jan 2010 · 7,544 accessesView PDFCite
Research ArticleOpen accessIn the abstractPerformance Analysis of Clustering Protocols in Mobile Ad hoc NetworksSharmila J. Francis, Elijah B. RajsinghNetwork clustering is an important technique widely used in efficient MANETs network management, hierarchical routing protocol design, network modeling, Quality of Service, etc. Recently many researchers are focusing on clustering which is one of the fundamental problems in mobile ad hoc networks. This article presents the descriptions of recently proposed clustering algorithms and is categorized into different approaches that support … …Journal of Computer Science, Vol. 4, Issue 3 · 31 Mar 2008 · 6,950 accessesView PDFCite
Research ArticleOpen accessIn the abstractImproving Quality of Clustering using Cellular Automata for Information retrievalP. K. Sree, G. V.S. Raju, I. R. Babu, S. V. RajuClustering has been widely applied to Information Retrieval (IR) on the grounds of its potential improved effectiveness over inverted file search. Clustering is a mostly unsupervised procedure and the majority of the clustering algorithms depend on certain assumptions in order to define the subgroups present in a data set .A clustering quality measure is a function that, given a data … …Journal of Computer Science, Vol. 4, Issue 2 · 28 Feb 2008 · 7,038 accessesView PDFCite
Research ArticleOpen accessIn the abstractMemory Convergence and Optimization with Fuzzy PSO and ACSSubhash C. Pandey, Dr. P. MisraAssociative neural memories are models of biological phenomena that allow for the storage of pattern associations and the retrieval of the desired output pattern upon presentation of a possibly noisy or incomplete version of an input pattern. In this study, we introduce fuzzy swarm particle optimization technique for convergence of associative neural memories based on fuzzy set theory. A Fuzzy … …Journal of Computer Science, Vol. 4, Issue 2 · 28 Feb 2008 · 7,176 accessesView PDFCite
Research ArticleOpen accessIn the abstractDynamic Head Cluster Election Algorithm for Clustered Ad-Hoc NetworksArwa Zabian, Ahmed Ibrahim, Fadi Al-KalaniIn distributed system, the concept of clustering consists on dividing the geographical area covered by a set of nodes into small zones. In mobile network, the clustering mechanism varied due to the mobility of the nodes any time in any direction. That causes the partitioning of the network or the joining of nodes. Several existing centralized or globalized algorithm have … …Journal of Computer Science, Vol. 4, Issue 1 · 31 Jan 2008 · 7,437 accessesView PDFCite
Research ArticleOpen accessIn the abstractFeature Selection in Data-Mining for Genetics Using Genetic AlgorithmV. N. Rajavarman, S. P. RajagopalanWe discovered genetic features and environmental factors which were involved in multifactorial diseases. To exploit the massive data obtained from the experiments conducted at the General Hospital, Chennai, data mining tools were required and we proposed a 2-Phase approach using a specific genetic algorithm. This heuristic approach had been chosen as the number of features to consider was large (upto … …Journal of Computer Science, Vol. 3, Issue 9 · 30 Sep 2007 · 6,630 accessesView PDFCite
Research ArticleOpen accessIn the abstractModule Management Tool in Software Development OrganizationsAhmad A. Al-Rababah, Mohammad A. Al-RababahModule management is an important task at developers’ level in software development organizations. So we consider in this paper software as collection of several modules. Also we study a method of clustering of modules of a large software system. The need of doing such clustering is justified to be an important part of software management in the software development organizations. … …Journal of Computer Science, Vol. 3, Issue 5 · 31 May 2007 · 7,038 accessesView PDFCite
Research ArticleOpen accessIn the abstractGlobal Supply Chain: Enhance Production Cost Efficiency Through Machine LearningLoubna Moumeni, Mohammed SaberMachine learning has enabled the discovery of various disciplines and patterns in Supply Chain Management (SCM). The entire industrial sector is striving to harness the contextual intelligence provided by machine learning by exploring new areas within the supply chain network. This article delves into Supply Chain Management (SCM) and its broader implications beyond logistics. SCM involves the resources, methods, and … …Journal of Computer Science, Vol. 20, Issue 9 · 14 Jun 2024 · 5,320 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