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41 results for “Data aggregation”
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Research ArticleOpen accessIn the abstractArabic Sentiment Classification using MLP Network Hybrid with Naive Bayes AlgorithmMohammad Subhi Al-Batah, Shakir Mrayyen, Malek AlzaqebahSentiment analysis has recently become one of the growing areas of research related to text mining and natural language processing. Sentiment analysis techniques are increasingly exploited to categorize the opinion text to one or more predefined sentiment classes for the creation and automated maintenance of review-aggregation websites. Most of the current studies related to this topic focus mainly on English … …Journal of Computer Science, Vol. 14, Issue 8 · 7 Aug 2018 · 9,273 accessesView PDFCite
Research ArticleOpen accessIn the abstractTracking Pointer and Look Ahead Matching Strategy to Evaluate Iceberg Driven QueryKale Sarika Prakash, P.M. Joe PrathapIceberg driven query is important and common in many applications of data mining and data warehousing. Main property of iceberg driven query is it extracts small set of data from huge database. It works on aggregation function followed by GROUP BY and HAVING clause. Due to involvement of aggregation function execution of iceberg driven query becomes tedious and complex work. … …Journal of Computer Science, Vol. 13, Issue 3 · 17 Apr 2017 · 7,296 accessesView PDFCite
Review ArticleOpen accessIn the abstractAnt Colony Optimization Approaches in Wireless Sensor Network: Performance EvaluationHusna Jamal Abdul Nasir, Ku Ruhana Ku-Mahamud, Eiji KamiokaWireless Sensor Network (WSN) has been widely implemented in large sectors such as military, habitat, business, industrial, health and environment. WSN is part of a distributed system where elements such as routing, load balancing, energy efficiency, node localization, time synchronization, data aggregation and security need to be addressed to improve its efficiency, robustness, extendibility, applicability and reliability. Despite multiple approaches … …Journal of Computer Science, Vol. 13, Issue 6 · 24 Jun 2017 · 8,533 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Ontological Crawling Approach for Improving Information Aggregation over eGovernment WebsitesHeru Agus Santoso, Junta Zeniarja, Ardytha Luthfiarta, Bima Jati WijayaE-Government applications in developing countries are still lagging behind e-Governments in advanced countries. For example, the use of information integration for Web portal content is still very limited. This paper proposes an automated approach for information aggregation over e-Government portals using ontological approach. The study uses data obtained from 10 local government Websites in the Central Java province-Indonesia. The data … …Journal of Computer Science, Vol. 12, Issue 9 · 25 Nov 2016 · 7,100 accessesView PDFCite
Research ArticleOpen accessIn the abstractHydrological Forecasting Using Hybrid Data-Driven ApproachYoungmin Seo, Sungwon KimThis study develops a hybrid model, EEMD-FANN, coupling feed Forward Artificial Neural Network (FANN) and Ensemble Empirical Mode Decomposition (EEMD) for improving the accuracy of daily river stage forecasting. An original river stage data is broken down into a residue and Intrinsic Mode Functions (IMFs) using the EEMD and different FANNs are developed as forecasting models for the decomposed IMFs … …American Journal of Applied Sciences, Vol. 13, Issue 8 · 2 Sep 2016 · 8,136 accessesView PDFCite
Research ArticleOpen accessIn the abstractAN EFFICIENT HYBRID ALGORITHM TO REDUCE LATENCY IN AD-HOC AGGREGATIONN. Rajkumar, N. K. Senthil Kumar, P. Subha, R. KavithaA data warehouse is a collection of data gathered and organized so that it can easily be analyzed, extracted, synthesized and also be used for the purpose of further understanding data. Peer to Peer networks are used for distribution and sharing of documents. In traditional techniques, when aggregate functions like average, sum and count are encountered, the aggregate operation is … …Journal of Computer Science, Vol. 10, Issue 7 · 18 Feb 2014 · 6,908 accessesView PDFCite
Research ArticleOpen accessIn the abstractResearch Proposal: An Intrusion Detection System Alert Reduction and Assessment Framework Based on Data MiningKarim Al-Saedi, Selvakumar Manickam, Sureswaran Ramadass et al.The Intrusion Detection System (IDS) generates huge amounts of alerts that are mostly false positives. The abundance of false positive alerts makes it difficult for the security analyst to identify successful attacks and to take remedial actions. Such alerts to have not been classified in accordance with their degree of threats. They further need to be processed to ascertain the … …Journal of Computer Science, Vol. 9, Issue 4 · 8 May 2013 · 7,709 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 · 6,840 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Cell to Cell Interaction of Breast Cancer Cells Regulates Cancer Invasion Via ADAM15Daichi Ota, Masahiro Ikesue, Yutaka Matsui et al.Increasing evidence suggests that a disintegrin and metalloproteinase 15 (ADAM15) have essential roles in the process of cancer metastasis via degradation of the extracellular matrix and binding to integrins. Among them, ADAM15 possesses an Arg-Gly-Asp (RGD) sequence within its disintegrin domain (d.d., hereafter) and binds to RGD recognizing-integrins such as αvβ3 and α5β1 and also interacts with integrin α9β1 in … …American Journal of Immunology, Vol. 8, Issue 4 · 17 Oct 2012 · 7,685 accessesView PDFCite
Research ArticleOpen accessIn the abstractBioDARA: Data Summarization Approach to Extracting Bio-Medical Structuring InformationChung Seng Kheau, Rayner Alfred, Joe Henry ObitProblem statement: Due to the ever growing amount of biomedical datasets stored in multiple tables, Information Extraction (IE) from these datasets is increasingly recognized as one of the crucial technologies in bioinformatics. However, for IE to be practically applicable, adaptability of a system is crucial, considering extremely diverse demands in biomedical IE application. One should be able to extract a … …Journal of Computer Science, Vol. 7, Issue 12 · 24 Oct 2011 · 7,936 accessesView PDFCite