WebThe experiments show that a hybridization of fuzzy set and rough set theories in missing data imputation algorithms leads to the best performance among our four algorithms, i.e., crisp K-means, fuzzy K-means, rough K-means, and rough-fuzzy K-means imputation algorithms. Keywords. Missing data; imputation; K-means clustering; fuzzy sets; rough sets WebJun 5, 2012 · Deep analytics is a process applied in data mining that analyzes, extracts and organizes large amounts of data in a form that is acceptable, useful and beneficial for an …

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WebRough set data analysis: A road to non-invasive knowledge discovery. This is not the first book on rough set analysis and certainly not the first book on knowledge discovery algorithms, but it is the first attempt to do this in a non-invasive way. In this book the authors present an overview of the work they have done in the past seven years on ... WebI want to begin by arguing that the current state of affairs with respect to “data” and “literature,” itself a mirror of the entire structure that organizes the cultural relationship … WebRaw data, also known as primary data, are data (e.g., numbers, instrument readings, figures, etc.) collected from a source. In the context of examinations, the raw data might be … iisexpress command line config