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25 results for “Activity Mining”
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Research ArticleOpen accessIn the abstractA Novel Approach for User Navigation Pattern Discovery and Analysis for Web Usage MiningJ. Vellingiri, S. Kaliraj, S. Satheeshkumar, T. ParthibanWebsites on the internet are useful source of information in our day-to-day activity. Web Usage Mining (WUM) is one of the major applications of data mining, artificial intelligence and so on to the web data to predict the user's visiting behaviours and obtains their interests by analyzing the patterns. WUM has turned out to be one of the considerable areas … …Journal of Computer Science, Vol. 11, Issue 2 · 17 Sep 2014 · 7,630 accessesView PDFCite
Research ArticleOpen accessIn the abstractASSESSING SOIL RESPIRATION AS AN INDICATOR OF SOIL MICROBIAL ACTIVITY IN RECLAIMED METAL CONTAMINATED LANDSKassandre Goupil, Kabwe NkongoloMining, roasting as well as smelting of these elements have caused sulphur dioxide fumigations and metal particulate depositions which have led to various detrimental effects on the overall environmental quality of the Greater Sudbury region. Soil amendment and revegetation within the Greater Sudbury Region were initiated to restore the damage land. Several methods have been used to assess the progress … …American Journal of Environmental Sciences, Vol. 10, Issue 4 · 11 Jul 2014 · 8,099 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 · 7,916 accessesView PDFCite
Research ArticleOpen accessIn the abstractHybrid of Fuzzy Clustering Neural Network Over NSL Dataset for Intrusion Detection SystemDahlia Asyiqin Ahmad Zainaddin, Zurina Mohd HanapiIntrusion Detection System (IDS) is one of the component that take part in the system defence, to identify abnormal activities happening in the computer system. Nowadays, IDS facing composite demands to defeat modern attack activities from damaging the computer systems. Anomaly-Based IDS examines ongoing traffic, activity, transactions and behavior in order to identify intrusions by detecting anomalies. These technique identifies … …Journal of Computer Science, Vol. 9, Issue 3 · 4 May 2013 · 6,574 accessesView PDFCite
Research ArticleOpen accessIn the abstractSignificant Term List Based Metadata Conceptual Mining Model for Effective Text ClusteringJ. Janet, S. Koteeswaran, E. KannanAs the engineering world are growing fast, the usage of data for the day to day activity of the engineering industry also growing rapidly. In order to handle and to find the hidden knowledge from huge data storage, data mining is very helpful right now. Text mining, network mining, multimedia mining, trend analysis are few applications of data mining. In … …Journal of Computer Science, Vol. 8, Issue 10 · 25 Aug 2012 · 7,087 accessesView PDFCite
Research ArticleOpen accessIn the abstractEnvironmental Radioactive Impact Associated to Uranium ProductionFernando P. CarvalhoProblem statement: One century of uranium mining in Europe and North-America created a legacy of ore mining and milling sites needing rehabilitation for environmental and human safety. In the last decades developments of uranium mining displaced the core of this activity to Australia, Canada and African countries. In the coming years, uranium mining is expected to grow further, in those … …American Journal of Environmental Sciences, Vol. 7, Issue 6 · 14 Jan 2012 · 8,249 accessesView PDFCite
Research ArticleOpen accessIn the abstractClassifying Single Trail Electroencephalogram Using Gaussian Smoothened Fast Hartley Transform for Brain Computer Interface during Motor ImageryV. B. Deepa, P. Thangaraj, S. ChitraProblem statement: Brain-Computer Interface (BCI) is a emerging research area which translates the brain signals for any motor related actions into computer understandable signals by capturing the signal, processing the signal and classifying the motor imagery. This area of work finds various applications in neuroprosthetics. Mental activity leads to changes of electrophysiological signals like the Electroencephalogram (EEG) or Electrocorticogram (ECoG). … …Journal of Computer Science, Vol. 7, Issue 5 · 7 May 2011 · 6,658 accessesView PDFCite
Research ArticleOpen accessIn the abstractA 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 abstractClassification Model for Hotspot Occurrences Using Spatial Decision Tree AlgorithmImas Sukaesih Sitanggang, Razali Yaakob, Norwati Mustapha, A. N. AinuddinDeveloping a predictive model for forest fires occurrence is an important activity in a fire prevention program. The model describes characteristics of areas where fires occur based on past fires data. It is essential as an early warning system for preventing forest fires, thus major damages because of fires can be avoided. This study describes the application of data mining … …Journal of Computer Science, Vol. 9, Issue 2 · 11 Apr 2013 · 7,224 accessesView PDFCite