An Application of Multilayer Perceptron Neural Network to Predict the Performance of Batsmen in Indian Premier League
نویسنده
چکیده
The issue of fault location received extensive concern in the field of telecom network management. The data mining approaches are introduced to extract clues from the telecom alarm data for fault location. Aiming at the key problems in telecom data mining. We have made a comprehensive analysis on the telecom network and its data as well as the fault propagation some important characteristics are discovered, and a fault location oriented network model is built to improve the traditional approaches in data transforming and data mining. An enhanced data mining algorithm is proposed to introduce the constraints in real world into the data mining procedures. A data mining tool (PRISMiner) is implemented to benchmark the new algorithm, and our experiments show that the new algorithm is quit eeffective in improving the accuracy and efficiency of the Prefix Span mining algorithm. Keywords—PRISMiner, Prefix Span, Topological based sequential mining algorithm, Telecom network alarm data preprocessing
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