, Computational Intelligence in Information Systems, 159Advances in Intelligent Systems and Computing 331, DOI: 10.1007/978-3-319-13153-5_16 Application of Optimum Binning Technique in Data Mining Approaches to Predict Students’ Final Grade in a Course Syed Tanveer Jishan, Raisul Islam Rashu, ...
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In Bangladesh there is a continuous rise in demand for higher education in last decade; therefore, the need for improving the education system is imminent. Data-mining techniques could be explored on educational settings to extract useful information which could be helpful for the students as well...
Focusing on the problems of complicated sample processing and long detection time of traditional soil composition testing in mining areas, this paper proposes a rapid soil classification method of grid search and cross validation (GSCV) ... H Jin,X Hao,B Mo - 《Journal of Analytical Atomic Spe...
Contig binning plays a crucial role in metagenomic data analysis by grouping contigs from the same or closely related genomes. However, existing binning methods face challenges in practical applications due to the diversity of data types and the difficul
By careful binning and grouping of categories, the predictive power of a variable with respect to a dependent variable for both estimation and classification problems can be increased. Binning and cardinality reduction are very similar procedures. They differ only in the fact that in the case of ...
The statistician is now often confronted with dauntingly large data sets that without due care can present the researcher with a multitude of problems.In this article we consider the problem of nonparametric density esti- mation with particular focus on large data sets. We describe a modified ...