<> "The repository administrator has not yet configured an RDF license."^^ . <> . . . "A new text-based w-distance metric to find the perfect match between words"^^ . "The k-NN algorithm is an instance-based learning algorithm which is widely used in the data mining applications. The core engine of the k-NN algorithm is the distance/similarity function. The performance of the k-NN algorithm varies with the selection of distance function. The traditional distance/similarity functions in k-NN do not perfectly handle the mix-mode words such as when one string has multiple substrings/words. For example, a two-word string of 'Employee Name', a one-word string of 'Name' or more than one word such as, 'Name of Employee'. This ambiguity is faced by different distance/similarity functions causing difficulties in finding the perfect match of words. To improve the perfect-match calculation functionality in the traditional k-NN algorithm, a new similarity distance metric is developed and named as word-distance (w-distance). The perfect match will help us to identify the exact required value. The proposed w-distance is a hybrid of distance and similarity in nature because it is to handle dissimilarity and similarity features of strings at the same time. The simulation results showed that w-distance has a better impact on the performance of the k-NN algorithm as compared to the Euclidean distance and the cosine similarity. © 2020-IOS Press and the authors. All rights reserved."^^ . "2020" . . "38" . "3" . . "IOS Press"^^ . . . "Journal of Intelligent and Fuzzy Systems"^^ . . . "10641246" . . . . . . . . . . . . . . . . . . . . . . "A.A."^^ . "Wagan"^^ . "A.A. Wagan"^^ . . "L.T."^^ . "Jung"^^ . "L.T. Jung"^^ . . "O."^^ . "Hosam"^^ . "O. Hosam"^^ . . "M."^^ . "Ali"^^ . "M. Ali"^^ . . "M."^^ . "Khayyat"^^ . "M. Khayyat"^^ . . "R.A."^^ . "Shah"^^ . "R.A. Shah"^^ . . . . . "HTML Summary of #13942 \n\nA new text-based w-distance metric to find the perfect match between words\n\n" . "text/html" . .