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 · 6,649 accessesView PDFCite
Research ArticleOpen accessIn the abstractTeachers’ Perceptions toward the use of GeoGebra in the Teaching and Learning of MathematicsLo Sooth Lee, Effandi ZakariaProblem statement: In a study by TIMSS, approximately 20% of Malaysian students failed to achieve the minimum benchmarks in mathematics. In addition, students do not understand mathematical concepts and lack necessary skills in problem-solving. The purpose of this study was to examine teachers’ perceptions toward the features and tools in GeoGebra. Approach: A GeoGebra workshop was conducted involving 30 secondary … …Journal of Mathematics and Statistics, Vol. 8, Issue 2 · 16 Jun 2012 · 8,929 accessesView PDFCite
Research ArticleOpen accessIn the abstractTransformation or Transgression? Institutional Habitus andWorking Class Student IdentityTina Byrom, Nic LightfootProblem statement: Whilst evidence continues to highlight disparity in Higher Education (HE) participation rates across social groups, there continues to be small numbers of young people from social groups 4-7 choosing to go to university. However, university experience varies across the different social groups and differing social positions appear to influence the higher education institution students apply to and secure … …Journal of Social Sciences, Vol. 8, Issue 2 · 18 Feb 2012 · 9,615 accessesView PDFCite
Research ArticleOpen accessIn the abstractFuzzy Time Series: An Application to Tourism Demand ForecastingMuhammad Hisyam Lee, Maria Elena Nor, Suhartono et al.Problem statement: Forecasting is very important in many types of organizations since predictions of future events must be incorporated into the decision-making process. In the case of tourism demand, better forecast would help directors and investors make operational, tactical and strategic decisions. Besides that, government bodies need accurate tourism demand forecasts to plan required tourism infrastructures, such as accommodation site … …American Journal of Applied Sciences, Vol. 9, Issue 1 · 24 Nov 2011 · 8,474 accessesView PDFCite
Research ArticleOpen accessIn the abstractImproving the Performance of Multivariate Bernoulli Model based Documents Clustering Algorithms using Transformation TechniquesPerumal Pitchandi, Nedunchezhian RajuProblem statement: Document clustering is the most important areas of data mining since they are very much and currently the subject of significant global research since such areas strengthen the enterprises of web intelligence, web mining, web search engine design and so forth. Generative models based on the multivariate Bernoulli and multinomial distributions have been widely used for text classification. … …Journal of Computer Science, Vol. 7, Issue 5 · 7 May 2011 · 7,281 accessesView PDFCite
Research ArticleOpen accessIn the abstractSummarizing Relational Data Using Semi-Supervised Genetic Algorithm-Based Clustering TechniquesRayner AlfredProblem statement: In solving a classification problem in relational data mining, traditional methods, for example, the C4.5 and its variants, usually require data transformations from datasets stored in multiple tables into a single table. Unfortunately, we may loss some information when we join tables with a high degree of one-to-many association. Therefore, data transformation becomes a tedious trial-and-error work and … …Journal of Computer Science, Vol. 6, Issue 7 · 31 Jul 2010 · 7,585 accessesView PDFCite
Research ArticleOpen accessIn the abstractRobust Logistic Regression to Static Geometric Representation of RatiosAlireza Bahiraie, Noor Akma Ibrahim, A.K.M. Azhar, Ismail Bin MohdProblem statement: Some methodological problems concerning financial ratios such as non-proportionality, non-asymetricity, non-salacity were solved in this study and we presented a complementary technique for empirical analysis of financial ratios and bankruptcy risk. This new method would be a general methodological guideline associated with financial data and bankruptcy risk. Approach: We proposed the use of a new measure of risk, … …Journal of Mathematics and Statistics, Vol. 5, Issue 3 · 30 Sep 2009 · 8,216 accessesView PDFCite
Research ArticleOpen accessIn the abstractA New Approach in Cryptographic Systems Using Fractal Image CodingNadia M.G. Al-Saidi, Muhammad Rushdan Md. SaidProblem statement: With the rapid development in the communications and information transmissions there is a growing demand for new approaches that increase the security of cryptographic systems. Approach: Therefore some emerging theories, such as fractals, can be adopted to provide a contribution toward this goal. In this study we proposed a new cryptographic system utilizing fractal theories; this approach exploited … …Journal of Mathematics and Statistics, Vol. 5, Issue 3 · 30 Sep 2009 · 7,505 accessesView PDFCite
Research ArticleOpen accessIn the abstractUtility Independent Privacy Preserving Data Mining on Vertically Partitioned DataE. Poovammal, M. PonnavaikkoProblem statement: Driven by mutual benefits, or by regulations that require certain data to be published, there has been a demand for the exchange and publication of data among various parties. Data publishing has been ubiquitous in many domains such as medical, business and education. Detailed person-specific data, present in the centralized server or in the distributed environment, in its … …Journal of Computer Science, Vol. 5, Issue 9 · 30 Sep 2009 · 6,835 accessesView PDFCite