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Found 7 papers, 0 papers with code
Unique Metric for Health Analysis with Optimization of Clustering Activity and Cross Comparison of Results from Different Approach
Philosophy of this algorithm is to find similar data items and group them together based on any distance function in multidimensional space.
Reinforcement Evolutionary Learning Method for self-learning
There are state of the art methodologies to detect the impact of concept drift, however general strategy considered to overcome the issue in performance is to rebuild or re-calibrate the model periodically as the variable patterns for the model changes significantly due to market change or consumer behavior change etc.
Proactive Intervention to Downtrend Employee Attrition using Artificial Intelligence Techniques
To predict the employee attrition beforehand and to enable management to take individualized preventive action.
Futuristic Classification with Dynamic Reference Frame Strategy
Classification is one of the widely used analytical techniques in data science domain across different business to associate a pattern which contribute to the occurrence of certain event which is predicted with some likelihood.
Personalized Influence Estimation Technique
Personalized Influence Estimation is a technique introduced in this paper, which can estimate key factor influence for individual observations, which contribute most for each observations behavior pattern based on the dependent class or estimate.
Incremental Learning Framework Using Cloud Computing
High volume of data, perceived as either challenge or opportunity.
Distribution Assertive Regression
In regression modelling approach, the main step is to fit the regression line as close as possible to the target variable.
