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Title: Similarity scores for mixed types of data Authors:  Keying Ye - University of Texas at San Antonio (United States) [presenting]
Abstract: In comparing similarity score or distance between two objects with many variables, studies in distance have been done for continuous, categorical and ordinal variables. A robust method of developing similarity or distance scores between different residential home properties with mixed types of data will be discussed. Such kind of scores can be used to find similar or dissimilar properties for comparisons, and more importantly, for selecting comps properties in home property appraisals.