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The main aim is to demonstrate a novel approach for data fusion for classification; the approach is applied to metabolomics datasets coming from patients suffering from MScl at a different stage of the disease. The approach involves data fusion in kernel space and consists of four main steps. The first one is to extract the significant information per data source using Support Vector Machine Recursive Feature Elimination. This method allows one to select a set of relevant variables. In the next step the optimized kernel matrices are merged by linear combination. In step 3 the merged datasets are analyzed with a classification technique, namely Kernel Partial Least Square Discriminant Analysis. In the final step, the variables in kernel space are visualized and their significance established

1. In managerial accounting, elaborate on job costing and how it is a key component when handling work parameters of costs

2. Contemplate and explain how batch costing achieves inclusivity when dealing with various costs in managerial accounting

3. When and why is process costing more applicable than other means of handling material cost in managerial accounting?

4. explain on the introductory part of the Customer Profitability Analysis. (CPA)in managerial accounting

5. elaborate on the engineering methods as applicable in managerial accounting to sum total the costs

6.provide and generate a proper order of events that try to explain the account analysis phenomenon of cost determination in managerial accounting

7.propose the terming for the selection of cost drive

8.what is your interpretation of the Logical relationship tests in cost determination for the managerial accountants?

9.explain briefly on the . Standard error of estimate (Se) for the rule of thumb in managerial accounting applications

10.propose the meaning for the Std error of the slope (Sb) in the dynamics of managerial accounting