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99 results for “Decision Tree (DT)”
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Research ArticleOpen accessIn the abstractFuzzy Modeled K-Cluster Quality Mining of Hidden Knowledge for Decision SupportS. Parkash Kumar, K. S. RamaswamiProblem statement: The work presented Fuzzy Modeled K-means Cluster Quality Mining of hidden knowledge for Decision Support. Based on the number of clusters, number of objects in each cluster and its cohesiveness, precision and recall values, the cluster quality metrics is measured. The fuzzy k-means is adapted approach by using heuristic method which iterates the cluster to form an efficient … …Journal of Computer Science, Vol. 7, Issue 11 · 24 Aug 2011 · 6,677 accessesView PDFCite
Research ArticleOpen accessIn the abstractMeasuring the Resiliency of the Manhattan Points of Entry in the Face of Severe DisruptionMayada Omer, Ali Mostashari, Roshanak NilchianiProblem statement: Resilient infrastructure systems are able to continue to provide the expected service levels following disruptive events. Implementing resiliency in infrastructure systems requires knowledge of the current resiliency of the system and a methodology by which different resiliency strategies can be evaluated. In the transportation infrastructure in particular, disruptions cause delays, which will in turn incur substantial economic losses … …American Journal of Engineering and Applied Sciences, Vol. 4, Issue 1 · 15 Mar 2011 · 9,682 accessesView PDFCite
Research ArticleOpen accessIn the abstractAnalysis of Decision Trees in Context Clustering of Hidden Markov Model Based Thai Speech SynthesisSuphattharachai ChomphanProblem statement: In Thai speech synthesis using Hidden Markov model (HMM) based synthesis system, the tonal speech quality is degraded due to tone distortion. This major problem must be treated appropriately to preserve the tone characteristics of each syllable unit. Since tone brings about the intelligibility of the synthesized speech. It is needed to establish the tone questions and other … …Journal of Computer Science, Vol. 7, Issue 3 · 7 Mar 2011 · 6,847 accessesView PDFCite
Research ArticleOpen accessIn the abstractTone Question of Tree Based Context Clustering for Hidden Markov Model Based Thai Speech SynthesisSuphattharachai ChomphanProblem statement: In HMM-based Thai speech synthesis, tone is an important issue that brings about the intelligibility of the synthesized speech. Tone distortion resulted from imbalance of the training data should be appropriately treated. Approach: This study described an HMM-based speech synthesis system for Thai language. In the system, spectrum, pitch and state duration are modeled simultaneously in a unified … …Journal of Computer Science, Vol. 6, Issue 12 · 9 Nov 2010 · 6,823 accessesView PDFCite
Research ArticleOpen accessIn the abstractPattern Trees for Fault-Proneness Detection in Object-Oriented SoftwareRomana Ishrat, Rafat Parveen, Syed I. AhsonProblem statement: This study introduced an application of pattern tree based classification technique in the area of object-oriented software quality estimation. This application explored the fault prediction accuracy of pattern trees. Approach: Similarity measures and fuzzy aggregations employed in the pattern tree technique had been used to generate tree models for fault detection in software modules. Experiments had been performed … …Journal of Computer Science, Vol. 6, Issue 10 · 30 Jul 2010 · 6,953 accessesView PDFCite
Research ArticleOpen accessIn the abstractApplication of CART Algorithm in Blood Donors ClassificationT. Santhanam, Shyam SundaramProblem statement: This study used data mining modeling techniques to examine the blood donor classification. The availability of blood in blood banks is a critical and important aspect in a healthcare system. Blood banks (in the developing countries context) are typically based on a healthy person voluntarily donating blood and is used for transfusions or made into medications. The ability … …Journal of Computer Science, Vol. 6, Issue 5 · 31 May 2010 · 8,628 accessesView PDFCite
Research ArticleOpen accessIn the abstractA New Approach in Individual Tree Counting of Nyatoh (Palaquium spp.) Using an Airborne SpectroradiometerKamaruzaman JusoffProblem statement: In Malaysia inadequate data are available to make decisions regarding the sustainable management of Nyatoh (Palaquium spp.). Factual data and estimation of Nyatoh in the lowland dipterocarp forest resources are still lacking or, if available, are not complete, reliable or up to date. The collection and compilation of information and updating of existing data in near real time … …American Journal of Applied Sciences, Vol. 7, Issue 4 · 30 Apr 2010 · 7,960 accessesView PDFCite
Research ArticleOpen accessIn the abstractTowards the Development of Speaker-Dependent and Speaker-Independent Hidden Markov Model-Based Thai Speech SynthesisSuphattharachai ChomphanProblem statement: Tone distortion in Thai languages can deteriorate not only the intelligibility of speech but also its naturalness. Therefore, the correctness of tone must be carefully taken into account in continuous speech synthesis. The preliminary work confronted this problem when applying HMM-based speech synthesis to Thai. Approach: This study presented a study on speaker-dependent and speaker-independent Hidden Markov Model … …Journal of Computer Science, Vol. 5, Issue 12 · 31 Dec 2009 · 6,928 accessesView PDFCite
Research ArticleOpen accessIn the abstractAntibiogram-Derived Radial Decision Trees: An Innovative Approach to Susceptibility Data DisplayRocco J. Perla, Paul P. BelliveauHospital antibiograms (ABGMs) are often presented in the form of large 2-factor (single organism vs. single antimicrobial) tables. Presenting susceptibility data in this fashion, although of value, does have limitations relative to drug resistant subpopulations. As the crisis of antimicrobial drug-resistance continues to escalate globally, clinicians need (1) to have access to susceptibility data that, for isolates resistant to first-line … …American Journal of Infectious Diseases, Vol. 1, Issue 2 · 30 Jun 2005 · 6,504 accessesView PDFCite
Research ArticleOpen accessIn the abstractLong Short-Term Memory Model for Classification of English-PtBR Cross-Lingual Hate SpeechThiago D. Bispo, Hendrik T. Macedo, Flávio de O. Santos et al.Automatic and accurate recognition of hate speech is a difficult job. In addition to the inherent ambiguity of the natural language, deep understanding of the linguistic structure is imperative. Usually, discriminatory discourse does not make use of typical expressions and often abuse of sarcasm. Good knowledge of world and assessment of context are thus highly demanded. Several approaches have been … …Journal of Computer Science, Vol. 15, Issue 10 · 1 Nov 2019 · 7,343 accessesView PDFCite