The beauty of Bali raises many comments about how a trip to Indonesia is not complete without going Bali. In the tourism industry application tourist satisfaction and perspective very important, but most them still apply surveys. survey-based approach has weaknesses such as operational costs, potential for data duplication, lack comprehensiveness. Sentiment analysis natural objects performed by...

Missing data is a widespread problem that can affect the ability to use data to construct effective prediction systems. We investigate a common machine learning technique that can tolerate missing values, namely C4.5, to predict cost using six real world software project databases. We analyze the predictive performance after using the k -NN missing data imputation technique to see if it is bett...

k-Nearest Neighbor (k-NN) is one of the classification algorithms which becomes top 10 in data mining. k-NN simple and easy to apply. However, results are greatly influenced by scale input. All its attributes considered equally important Euclidean distance, but inappropriate with relevance each attribute. Thus, it makes decreased. Some more or less or, fact, irrelevant determining results. To o...