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37 articles for “Pattern Mining”
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Research ArticleOpen accessIn the abstractNewcastle Traffic Classification Using Clustering AlgorithmsHamad B Matar, Talal Almutairi, Nayef Z Al-MutairiThe urban road traffic network evolution is complex and varies depend on road type, zoning types and social activities. Typical traffic pattern variation of road network could be examined by considering the daily human travel activities. Thus, factor and cluster analysis is carried out. This paper is a comparative analysis of various Data Mining clustering methods for the grouping of … …American Journal of Engineering and Applied Sciences, Vol. 13, Issue 2 · 4 Apr 2020 · 7,218 accessesView PDFCite
Research ArticleOpen accessIn the abstractFuzzy Modeling for Multi-Label Text Classification Supported by Classification AlgorithmsBeatriz Wilges, Gustavo Mateus, Silvia Nassar et al.The ever-increasing amount of information on the Web is organized in structured, semi-structured and unstructured data. Text classification systems, capable of handling such different structures, may facilitate the work of important tasks such as indexation and information retrieval in search engines. The objective of this research is to develop a method for the classification of documents into multiple categories with … …Journal of Computer Science, Vol. 12, Issue 7 · 22 Aug 2016 · 7,221 accessesView PDFCite
Research ArticleOpen accessIn the abstractVIRTUAL MINING MODEL FOR CLASSIFYING TEXT USING UNSUPERVISED LEARNINGS. Koteeswaran, E. Kannan, P. VisuIn real world data mining is emerging in various era, one of its most outstanding performance is held in various research such as Big data, multimedia mining, text mining etc. Each of the researcher proves their contribution with tremendous improvements in their proposal by means of mathematical representation. Empowering each problem with solutions are classified into mathematical and implementation models. … …American Journal of Applied Sciences, Vol. 11, Issue 5 · 20 Feb 2014 · 6,591 accessesView PDFCite
Research ArticleOpen accessIn the abstractDETECTING ABNORMAL BEHAVIOR IN SOCIAL NETWORK WEBSITES BY USING A PROCESS MINING TECHNIQUEMahdi Sahlabadi, Ravie Chandren Muniyandi, Zarina ShukurDetecting abnormal user activity in social network websites could prevent from cyber-crime occurrence. The previous research focused on data mining while this research is based on user behavior process. In this study, the first step is defining a normal user behavioral pattern and the second step is detecting abnormal behavior. These two steps are applied on a case study that … …Journal of Computer Science, Vol. 10, Issue 3 · 22 Nov 2013 · 7,920 accessesView PDFCite
Research ArticleOpen accessIn the abstractCONSTRAINT INFORMATIVE RULES FOR GENETIC ALGORITHM-BASED WEB PAGE RECOMMENDATION SYSTEMS. Prince Mary, E. BaburajTo predict the users navigation using web usage mining is the primary motto of the web page recommendation. Currently, researchers are trying to develop a web page recommendation using pattern mining technique. Here, we propose a technique for web page recommendation using genetic algorithm. It consists of three phases as data preparation, mining of informative rules and recommendation. The data … …Journal of Computer Science, Vol. 9, Issue 11 · 5 Oct 2013 · 6,672 accessesView PDFCite
Research ArticleOpen accessIn the abstractFast Real Time Analysis of Web Server Massive Log Files using an Improved Web Mining ArchitectureC. Kavitha, Ramesh RajamanickamThe web has played a vital role to detect the information and finding the reasons to organize a system. As the web sites were increased, the web log files also increased based on the web searching. Our challenge and the task are to reduce the log files and classify the best results to reach the task which we used. Aimed … …Journal of Computer Science, Vol. 9, Issue 6 · 6 Jun 2013 · 6,344 accessesView PDFCite
Research ArticleOpen accessIn the abstractEfficient Approach to Discover Interval-Based Sequential PatternsR. Sadasivam, K. DuraiswamyIn most of the sequential pattern mining methodology they have concentrated only on time point base event data. But some research efforts have detailed the mining patterns from time interval based event data. In many application most of the events are occurred at time interval based event not a point based interval for example patient affected by the certain time … …Journal of Computer Science, Vol. 9, Issue 2 · 11 Apr 2013 · 6,373 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Efficient Algorithm for Mining Spatially Co-located Moving ObjectsG. Manikandan, S. SrinivasanMining co-location patterns from spatial databases may disclose the types of spatial features which are likely located as neighbors’ in space. Accordingly, we present an algorithm previously for mining spatially co-located moving objects using spatial data mining techniques and Prim’s Algorithm. In the previous technique, the scanning of database to mine the spatial co-location patterns took much computational cost. In … …American Journal of Applied Sciences, Vol. 10, Issue 3 · 2 Mar 2013 · 6,654 accessesView PDFCite
Research ArticleOpen accessIn the abstractSteel Plates Faults Diagnosis with Data Mining ModelsMahmoud Fakhr, Alaa M. ElsayadProblem statement: Over the last two decades, Fault Diagnosis (FD) has a major importance to enhance the quality of manufacturing and to lessen the cost of product testing. Actually, quick and correct FD system helps to keep away from product quality problems and facilitates precautionary maintenance. FD may be considered as a pattern recognition problem. It has been gaining more … …Journal of Computer Science, Vol. 8, Issue 4 · 31 Jan 2012 · 11,383 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Independent Rough Set Approach Hybrid with Artificial Bee Colony Algorithm for Dimensionality ReductionNambiraj Suguna, Keppana Gowder ThanushkodiProblem statement: Dimensionality reduction is viewed as an important pre-processing step for pattern recognition and data mining. As the classical rough set model considers the entire attribute set as a whole to find the subset, comparing all possible combinations of sets of attributes is difficult. Approach: In this study, we have introduced an improved Rough Set-based Attribute Reduction (RSAR) namely … …American Journal of Applied Sciences, Vol. 8, Issue 3 · 25 Mar 2011 · 8,342 accessesView PDFCite