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39 results for “Redundant Data”
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Research ArticleOpen accessIn the abstractA User-Driven Association Rule Mining Based on Templates for Multi-Relational DataCarlos Roberto Valêncio, Guilherme Henrique Morais, Márcio Zamboti Fortes et al.Data mining algorithms to find association rules are an important tool to extract knowledge from databases. However, these algorithms produce an enormous amount of rules, many of which could be redundant or irrelevant for a specific decision-making process. Also, the use of previous knowledge and hypothesis are not considered by these algorithms. On the other hand, most existing data mining … …Journal of Computer Science, Vol. 14, Issue 11 · 8 Nov 2018 · 7,442 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Effect of Packet Redundancy Elimination Technique in Sensor NetworksDeepa Priya, Sharmini EnochA lot of sensor nodes which are able to sense, process and communicate with external base station with the data obtained from external environment belong to a class of adhoc networks called wireless sensor networks. The main challenge in sensor network is to increase the life time of the network thereby reducing duplicate by detecting the redundant information. While the … …Journal of Computer Science, Vol. 14, Issue 6 · 25 Feb 2018 · 7,878 accessesView PDFCite
EditorialOpen accessIn the abstractBig Data and Parkinson’s Disease - from Understanding of Disease to Personalised MedicineYen F. Tai, Nicola PaveseThe advancement of information technology in recent years has generated a huge amount of datasets in all areas of scientific research. This has led to new opportunities to harness the 'Big Data' to improve our understanding of diseases - from investigating disease mechanisms to monitoring treatment responses. The Big Data approach is a data-driven and often hypothesis-free, way of studying … …Neuroscience International, Vol. 7, Issue 1 · 27 Jul 2016 · 7,755 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Novel Distinguishability Based Weighted Feature Selection Algorithms for Improved Classification of Gene Microarray DatasetJ. Jeyachidra, M. PunithavalliData mining played vital role in comprehending, analyzing, understanding and interpreting microarray technology expression data. That includes search for genes that had similar or correlated patterns of expression. For that, the feature selection was one of the frequently used important techniques for data preprocessing. Many feature selection algorithms had been developed. Yet the persisting problem was in selecting optimal subset … …Journal of Computer Science, Vol. 11, Issue 2 · 2 Feb 2015 · 6,376 accessesView PDFCite
Research ArticleOpen accessIn the abstractHYBRID FEATURE SELECTION ALGORITHM FOR INTRUSION DETECTION SYSTEMSeyed Reza Hasani, Zulaiha Ali Othman, Seyed Mostafa Mousavi KahakiNetwork security is a serious global concern. Usefulness Intrusion Detection Systems (IDS) are increasing incredibly in Information Security research using Soft computing techniques. In the previous researches having irrelevant and redundant features are recognized causes of increasing the processing speed of evaluating the known intrusive patterns. In addition, an efficient feature selection method eliminates dimension of data and reduce redundancy … …Journal of Computer Science, Vol. 10, Issue 6 · 31 Jan 2014 · 7,350 accessesView PDFCite
Research ArticleOpen accessIn the abstractAPPLYING SEASONAL CLIMATE TRENDS TO AGRICULTURAL PRODUCTION IN TANJUNG KARANG, MALAYSIAMohd Ekhwan Toriman, Lee Qiao Yun, Mohd Khairul Amri Kamarudin et al.The North West Selangor Integrated Agriculture Development Agency (NWS-IADA) is the most productive agricultural part in Selangor, Malaysia. This is partly because of the inherent high fertility of the soils and the moderate variable climate. However, with increasing global concern about climate impacts, this article examines relative importance of climate influences on the paddy production rate over 28 years (1980-2008). … …American Journal of Agricultural and Biological Sciences, Vol. 9, Issue 1 · 6 Jan 2014 · 7,912 accessesView PDFCite
Research ArticleOpen accessIn the abstractAN APPROACH FOR TEXT SUMMARIZATION USING DEEP LEARNING ALGORITHMG. PadmaPriya, K. DuraiswamyNow days many research is going on for text summarization. Because of increasing information in the internet, these kind of research are gaining more and more attention among the researchers. Extractive text summarization generates a brief summary by extracting proper set of sentences from a document or multiple documents by deep learning. The whole concept is to reduce or minimize … …Journal of Computer Science, Vol. 10, Issue 1 · 7 Nov 2013 · 7,803 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 abstractPrincipal Component Analysis Based Feature Extraction, Morphological Edge Detection and Localization for Fast Iris RecognitionM. Suganthy, P. RamamoorthyThis study involves the Iris Localization based on morphological or set theory which is well in shape detection. Principal Component Analysis (PCA) is used for preprocessing, in which the removal of redundant and unwanted data is done. Applications such as Median Filtering and Adaptive thresholding are used for handling the variations in lighting and noise. Features are extracted using Wavelet … …Journal of Computer Science, Vol. 8, Issue 9 · 9 Aug 2012 · 7,748 accessesView PDFCite
Research ArticleOpen accessIn the abstractEfficient Sensor Stream Data Processing System to use Cache Technique for Ubiquitous Sensor Network Application ServiceJun-Yong Park, Ryum-Duck OhProblem statement: For the purpose of supporting application services in the Ubiquitous Sensor Network (USN) environment, efficient processing of stream data that occur in the sensor nodes and relevant utilization technologies are being studied. Approach: The conversion of various sensor stream data that occur in the sensor nodes into sensor data suitable for use in the upper-level application system is … …Journal of Computer Science, Vol. 8, Issue 3 · 9 Jan 2012 · 6,871 accessesView PDFCite