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Reuse process in CBR (Case-Based Reasoning) cycle is responsible for proposing solutions to a number of new problems from a retrieval process. The aim of this paper is to develop a new scheme to select some cases and solutions that form QA-pairs using Semantic Role Labeling (SRL). In previous studies, the selection process of cases and solutions have been done using named entity and word co-occurrence...
Geo-demographic analysis (GDA) is an interdisciplinary that studies characteristics of population based on geographical area. Fuzzy Geographically Weighted Clustering-Ant Colony Optimization (FGWC-ACO), which is the improvement of FGWC algorithm, is considered as an effective algorithm in GDA. The integration of Ant Colony Optimization (ACO) as a metaheuristic algorithm to the FGWC has been used as...
One of the most interesting interdisciplinary research topics between Geographic Information Systems and Data Mining are known as Geo-demographic analysis (GDA). Among some methods in this field, Fuzzy Geographically Weighted Clustering (FGWC) is considered as the state-of-the-art for Geo-demographic segmentation. In other hand, recent studies show that its quality of clustering achievement can be...
Every region in Indonesia has different potentials and need to be analyzed for national development considerations. This analyzed can be accomplished with clustering Indonesian regional potential data, which is collected from PODES enumeration. This data consist of both numeric and categorical attributes. However, most of clustering algorithm can be applied on either numeric or categorical data. K-prototypes...
Geo-demographic analysis (GDA) is the study of geo-demographic that refers to spatial or geographical area, utilizing some spatial based analysis explicitly. Fuzzy Geographically Weighted Clustering (FGWC), a variant of Fuzzy C-Means (FCM), has been serving as an effective algorithm in Geo-demographic Analysis. FGWC is sensitive because of its initialization by determining random cluster centers makes...
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