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This paper presents a study on the role of nickel content on the slurry erosive wear, strength and impact toughness behaviour of permanent moulded toughened austempered ductile iron (PMTADI) samples subjected to a special austempering heat treatment. The nickel additions were made at five levels ranging from 0.5 to 2.5% in steps of 0.5%. Toughened ADI samples have shown an increase in slurry wear...
One of the major concepts in business analytics is to identify the anomalies over time, also called as trend analysis. This can be easily done in pivot tables by using time as one of the dimensions, usually across columns. However, the trending information itself is insufficient to make any quick and insightful observations. Ranking the time series to identify the similar units of information can...
One of the major concepts in business analytics is to identify the anomalies over time, also called as trend analysis. This can be easily done in pivot tables by using time as one of the dimensions, usually across columns. However, the trending information itself is insufficient to make any quick and insightful observations. Ranking the time series to identify the similar units of information can...
Clustering becomes an indispensable requirement while dealing with immense volume of data. Since database management tools does not provide an inbuilt mechanism to cluster datasets of higher magnitude it inevitably requires an external module to perform the same. This external module should be devised specifically to deal with the data extracted from the data source. There exists myriad of techniques...
Much research work in datamining has gone into improving the predictive accuracy of statistical classifiers by applying the techniques of discretization and feature selection. As a probability-based statistical classification method, the Naive Bayesian classifier has gained wide popularity despite its assumption that attributes are conditionally mutually independent given the class label. In this...
Naive Bayes classifier has gained wide popularity as a probability-based classification method despite its assumption that attributes are conditionally mutually independent given the class label. This paper makes a study into discretization techniques to improve the classification accuracy of Naive Bayes with respect to medical datasets. Our experimental results suggest that on an average, with minimum...
One of the major conceptual analyses in analytical CRM is customer loyalty. Current methods use user defined and statistical methods for loyalty analysis. One of the major limitations of these methods is that they assign every customer into exactly one segment, which may be counter intuitive. In this paper a novel approach using fuzzy logic has been discussed. The proposed method uses fuzzy context...
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