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156 articles for “Data Clustering”
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Research ArticleOpen accessIn the abstractThe use of Random Forest Classification and K-means Clustering Algorithm for Detecting Time Stamped Signatures in the Active NetworksKamalanaban Ethala, R. Shesadri, N. G. RenganathanIn day to day information security infrastructure, intrusion detection is indispensible. Signature based intrusion detection system mechanisms are often available in detecting many types of attacks. But this mechanism alone is not sufficient in many cases. Another intrusion detection method viz K-means is employed for clustering and classifying the unlabelled data. IDS is a special embedded device or relied software … …Journal of Computer Science, Vol. 9, Issue 7 · 18 Jun 2013 · 7,500 accessesView PDFCite
Research ArticleOpen accessIn the abstractHybrid Ant-Based Clustering Algorithm with Cluster Analysis TechniquesWafa’a Omar, Amr Badr, Abd El-Fattah HegazyCluster analysis is a data mining technology designed to derive a good understanding of data to solve clustering problems by extracting useful information from a large volume of mixed data elements. Recently, researchers have aimed to derive clustering algorithms from nature’s swarm behaviors. Ant-based clustering is an approach inspired by the natural clustering and sorting behavior of ant colonies. In … …Journal of Computer Science, Vol. 9, Issue 6 · 7 Jun 2013 · 7,310 accessesView PDFCite
Research ArticleOpen accessIn the abstractEffect of Clustering in Designing a Fuzzy Based Hybrid Intrusion Detection System for Mobile Ad Hoc NetworksD. Vydeki, R. S. BhuvaneswaranIntrusion Detection System (IDS) provides additional security for the most vulnerable Mobile Adhoc Networks (MANET). Use of Fuzzy Inference System (FIS) in the design of IDS is proven to be efficient in detecting routing attacks in MANETs. Clustering is a vital means in the detection process of FIS based hybrid IDS. This study describes the design of such a system … …Journal of Computer Science, Vol. 9, Issue 4 · 14 May 2013 · 6,473 accessesView PDFCite
Research ArticleOpen accessIn the abstractParticle Swarm Optimization-Based Routing Protocol for Clustered Heterogeneous Sensor Networks with Mobile SinkR. Sudarmani, K.R. Shankar KumarIn Wireless Sensor Networks (WSN) sensor nodes with sensing, computing and communication infrastructure are randomly deployed and organized as clusters. Most of the existing sensor networks focus on homogeneous in which the cluster heads are changed periodically. To improve the lifetime of energy constraint battery powered WSN and to avoid energy sink-hole problem; Clustered Heterogeneous Sensor Networks (HSN) are analyzed … …American Journal of Applied Sciences, Vol. 10, Issue 3 · 18 Mar 2013 · 6,845 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptimizing Clusters Alignment for Bilingual Malay-English CorporaRayner Alfred, Chan Chen Jie, Ng Zhen Wei et al.Bilingual corpora, containing the same documents in two different languages, are becoming an essential resource for natural language processing. Clustering bilingual corpora provides us with an insight into the differences between languages when term frequency-based Information Retrieval (IR) tools are used. It also allows one to use the Natural Language Processing (NLP) and IR tools in one language to implement … …Journal of Computer Science, Vol. 8, Issue 12 · 26 Nov 2012 · 7,150 accessesView PDFCite
Research ArticleOpen accessIn the abstractSleeping Cluster based Medium Access Control Layer Routing Protocol for Wireless Sensor NetworksT. Nagamalar, T. R. RangaswamyWireless sensor networks play a vital role in remote area applications, where human intervention is not possible. In a Wireless Sensor Network (WSN) each and every node is strictly an energy as well as bandwidth constrained one. Problem Statement: In a standard WSN, most of the routing techniques, move data from multiple sources to a single fixed base station. Because … …Journal of Computer Science, Vol. 8, Issue 8 · 16 Jul 2012 · 6,689 accessesView PDFCite
Research ArticleOpen accessIn the abstractGC-MS Analysis and PLS-DA Validation of the Trimethyl Silyl-Derivatization TechniquesKamalrul Azlan Azizan, Syarul Nataqain Baharum, Habtom W. Ressom, Normah Mohd. NoorProblem statement: Comparison and validation analysis of the conventional and power-adjusted Microwave-Assisted (MA) techniques of TMS derivatization using Gas Chromatography-Mass Spectrometry (GC-MS) and Multivariate Analysis (MVA) of Partial Least Squares Analysis (PLS-DA). Further improvement of the conventional technique using vigorous shaking was tested and analyzed. Approach: Cross-validation and response permutation test of PLS-DA and S-plot of Orthogonal Partial Least Squares … …American Journal of Applied Sciences, Vol. 9, Issue 7 · 4 Jun 2012 · 10,325 accessesView PDFCite
Research ArticleOpen accessIn the abstractSimilarity Based Clustering with Indexing for Semi-Structured DocumentS. Palanisamy, K. BaskaranProblem statement: To improve the performance of data retrieval in a homogeneous large XML document. Approach: Clustering of XML elements based on the content with indexing. The element which is used for clustering has been identified from the document and/or XML schema. This element is used as a parameter for clustering. The suitable index is created after clustering. Results: The … …Journal of Computer Science, Vol. 8, Issue 4 · 7 Feb 2012 · 6,576 accessesView PDFCite
Research ArticleOpen accessIn the abstractDesign of Tree Structure in Context Clustering Process of Hidden Markov Model-Based Thai Speech SynthesisSuphattharachai ChomphanProblem statement: In HMM-based Thai speech synthesis, the tone degradation due to the imbalance of training data of all tones. Some distortion of syllable duration is obviously noticeable when the system is trained with a small amount of data. These problems cause the decrement in naturalness and intelligibility of the synthesized speech. Approach: This study proposes an approach to improve … …American Journal of Applied Sciences, Vol. 9, Issue 3 · 14 Jan 2012 · 6,961 accessesView PDFCite
Research ArticleOpen accessIn the abstractDermoscopic Image Segmentation using Machine Learning AlgorithmL. Padma Suresh, K.L. Shunmuganathan, S.H. Krishna VeniProblem statement: Malignant melanoma is the most frequent type of skin cancer. Its incidence has been rapidly increasing over the last few decades. Medical image segmentation is the most essential and crucial process in order to facilitate the characterization and visualization of the structure of interest in medical images. Approach: This study explains the task of segmenting skin lesions in … …American Journal of Applied Sciences, Vol. 8, Issue 11 · 7 Oct 2011 · 7,346 accessesView PDFCite