All can be analysed using a range of different techniques and. It can be produced automatically or with programmer intervention.Ģ.ĝata Transformation: It is applied often to reduce the volume of data. However, the basic tools listed below are not associated with specific analysis methods. It may require programmer intervention.Ĭ.Ğvent: It records each occurrence of various specified events. Fuzzy logic modeling is one of the probability-based data analysis methods and techniques. Fuzzy logic is applied to cope with the uncertainty in data mining problems.
can manage attribute interaction in a great way. They are gathered automatically.ī.Ĝounters: It records frequencies or cumulative number of events. they are relatively insensitive to noise. This process in very important for highlighting performance problems. Profiles: It records the time spent in different parts of the program. The basic data collection techniques are:Ī. They are generally collected in a file, it may be presented to a real user in a real time. The performance analysis step consists of 3 basic steps:ġ.ĝata Collection: It is a process by which data related to performance of a program is collected. In HR, performance analysis, can help to review an employees contribution towards a project or assignment, which he/she was allotted. Performance analysis can be do in finance on the basis of ROI, profits etc. Performance Analysis is the process of studying or evaluating the performance of a particular scenario in comparison of the objective which was to be achieved.
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