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150 results for “clustering algorithm”
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Research ArticleOpen accessIn the keywordsOptimizing Feature Construction Process for Dynamic Aggregation of Relational AttributesRayner AlfredProblem statement: The importance of input representation has been recognized already in machine learning. Feature construction is one of the methods used to generate relevant features for learning data. This study addressed the question whether or not the descriptive accuracy of the DARA algorithm benefits from the feature construction process. In other words, this paper discusses the application of genetic … …Journal of Computer Science, Vol. 5, Issue 11 · 30 Nov 2009 · 6,929 accessesView PDFCite
Research ArticleOpen accessIn the keywordsDiscretization Numerical Data for Relational Data with One-to-Many RelationsRayner AlfredProblem statement: Handling numerical data stored in a relational database has been performed differently from handling those numerical data stored in a single table due to the multiple occurrences (one-to-many association) of an individual record in the non-target table and non-determinate relations between tables. Numbers in Multi-Relational Data Mining (MRDM) were often discretized, after considering the schema of the relational … …Journal of Computer Science, Vol. 5, Issue 7 · 31 Jul 2009 · 7,030 accessesView PDFCite
Research ArticleOpen accessIn the keywordsPower Saving Mechanism in Clustered Ad-Hoc NetworksArwa Zabian, Ahmed IbrahimIn wireless Ad-Hoc networks, multihop transmission breaks the single hop path from a mobile node to another, into two or more hops, in a manner that the distances between transmitter and receiver are smaller than that in the direct transmission, which reduces the transmission power significantly. We have proposed the use of graph search algorithms to increase the power remaining … …Journal of Computer Science, Vol. 4, Issue 5 · 31 May 2008 · 7,117 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA Descriptive Analysis of Students Learning Skills Using Bloom’s Revised TaxonomyJoy Christy Antony Sami, Umamakeswari ArumugamThe academic committees worldwide suggest technical institutions to follow Revised Bloom’s Taxonomy (RBT), a framework that helps to develop learning objectives. The model classifies a hierarchy of educational objectives such as cognitive, sensory and affective domains that are not only helping the students to evolve thinking abilities but also to identify the skills they are lacking with. Analysis of students … …Journal of Computer Science, Vol. 16, Issue 2 · 4 Sep 2019 · 8,539 accessesView PDFCite
Research ArticleOpen accessIn the keywordsShots Temporal Prediction Rules for High-Dimensional Data of Semantic Video RetrievalShaimaa Toriah Mohamed Toriah, Atef Zaki Ghalwash, Aliaa A.A. YoussifTemporal consistency stands as a vital property in semantic video retrieval. Few research studies can exploit this useful property. Most of the used methods in those studies depend on rules defined by experts and use ground-truth annotation. The Ground-truth annotation is time-consuming, labor intensive and domain specific. Additionally, it involves a limited number of annotated concepts and a limited number … …American Journal of Applied Sciences, Vol. 15, Issue 1 · 30 Jan 2018 · 8,117 accessesView PDFCite
Research ArticleOpen accessIn the keywordsSENSOR NETWORK PERIODICAL DATA ASSEMBLY USING IMBALANCED CLUSTERING ENERGY EFFICIENT MECHANISMK. Munusamy, R. M.S. ParvathiFast technical advances and development in wireless communication resulted in the huge consumption of wireless sensor networks. The nodes in these networks are ready to be sensed, processing the data and transmitting radio units. While several research works have been conducted related to the power-aware and energy-efficiency using Cooperative Networking protocol (CONET) that reforms clusters but the multiple rate remains … …Journal of Computer Science, Vol. 10, Issue 10 · 28 Jun 2014 · 6,648 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAdvanced Energy Efficient Passive Clustering Mobility in Wireless Sensor NetworksAouad Siham, Maach Abdelillah, El Ganami DrissWireless sensor networks have a wide applicability and increase deployment in the near future. In most of those applications, the network is composed of an important number of nodes deployed in an extensive area in which not all nodes are directly connected and based on clustering techniques. The Clustering can considerably reduce transmission overhead during flooding. In fact, by using … …American Journal of Applied Sciences, Vol. 10, Issue 12 · 24 Oct 2013 · 6,756 accessesView PDFCite
Research ArticleOpen accessIn the keywordsPerformance Analysis of Multi Clustered Parallel Genetic Algorithm with Gray ValueP. Vishnu Raja, V. Murali BhaskaranProblem statement: Encoding is one of the major factors in genetic algorithms, for a complex problem the optimality for the problem is determined. The encoding mechanism is the initial step which forms the chromosome to form the best fit individuals in the entire population. The proposed method tries to encode the initial population by the binary encoding and by gray … …American Journal of Applied Sciences, Vol. 9, Issue 8 · 28 Jun 2012 · 7,163 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA Novel Technique for Web Log mining with Better Data Cleaning and Transaction IdentificationJ. Vellingiri, S. Chenthur PandianProblem statement: In the internet era web sites on the internet are useful source of information for almost every activity. So there is a rapid development of World Wide Web in its volume of traffic and the size and complexity of web sites. Web mining is the application of data mining, artificial intelligence, chart technology and so on to the … …Journal of Computer Science, Vol. 7, Issue 5 · 7 May 2011 · 6,889 accessesView PDFCite
Research ArticleOpen accessIn the keywordsPredicting Missing Attribute Values Using k-Means ClusteringNambiraj Suguna, Keppana Gowder ThanushkodiProblem statement: Predicting the value for missing attributes is an important data preprocessing problem in data mining and knowledge discovery tasks. Several methods have been proposed to treat missing data and the one used more frequently is deleting instances containing at least one missing value of a feature. When the dataset has minimum number of missing attribute values then we … …Journal of Computer Science, Vol. 7, Issue 2 · 25 Feb 2011 · 7,873 accessesView PDFCite