Business analytics KDBA120

Amit and Zott (2001: 494) observe that the creation of value in e-business goes beyond the value that can be realised through the configuration of the value chain, the

SJ Guillaume in [15] researched mutant selection using machine learn- ing, where she proposes a way to reduce the cost of mutation testing em- ploying data mining and machine

evaluate the classification accuracy using confusion matrix,  perform data reduction using principal component analysis,  estimate forecasts using machine learning techniques

Gjennom å under- søke hvordan Big Data og Big Data Analytics defineres i revisjon og hvordan egenskaper til re- visjonsbevis blir møtt når revisor anvender Big Data og Big

elements of a business model is affected by a firm's value configuration depending on whether the firm is a value chain, value shop, or value network?. Third, we link business

We also find that that success is determined by the alignment of specific value creation and value capture activities in each phase: identifying value

Moreover, they briefly reviewed big data analytics (e.g., traditional machine learning) for four main NTMA applications, i.e., traffic classification, traffic prediction,

Problem Queue Congestion Flow Prediction Forecasting Estimation Techniques Deep learning Neural networks Machine learning Big data.. Second step is to select the