Proposal of a Document Cluster Representation based on Fuzzy Deformable Prototypes
نویسندگان
چکیده
In this paper it is described the use of Fuzzy Deformable Prototypes for representing clusters of documents. We use fuzzy logic technologies and a KDD based process for automatic classification of large repositories of documents in a fuzzy and hierarchical organization. The aim is to make an optimum exploitation of the concepts contained in the documents using an updateable and understandable structure. This structure allows information to be easily examined, browsed and accessed. Therefore, we apply Fuzzy Deformable Prototypes for knowledge representation. Its use allows an easy process to deal with the incoming documents and an efficient update of the structure.
منابع مشابه
An Extension of Fuzzy Deformable Prototypes for predicting student performance on Web-based Tutoring Systems
This paper presents an extension of Fuzzy Deformable Prototypes (FDPs) based on the use of interval type-2 fuzzy sets. The aim is to improve FDPs’ capabilities for managing uncertainty and imprecision. This extension is applied to predict the academic performance of the students who make use of Web-based tutoring systems. The prediction model contains patterns of behavior that are used to deter...
متن کاملImproving Internet Intelligent Agents Using Fuzzy Logic and Data Mining Techniques
In this paper we present an approach to use fuzzy logic and data mining techniques in order to improve the quality of intelligent agents services in the Internet context. The overall objective is to design and implement a software model for collaborative environments capable of extracting knowledge from newsgroups, chat services ... The construction of the components of this software model is m...
متن کاملخوشهبندی اسناد مبتنی بر آنتولوژی و رویکرد فازی
Data mining, also known as knowledge discovery in database, is the process to discover unknown knowledge from a large amount of data. Text mining is to apply data mining techniques to extract knowledge from unstructured text. Text clustering is one of important techniques of text mining, which is the unsupervised classification of similar documents into different groups. The most important step...
متن کاملClustering Sentence-Level Text Using a Novel Fuzzy Relational Clustering Algorithm
In comparison with hard clustering methods, in which a pattern belongs to a single cluster, fuzzy clustering algorithms allow patterns to belong to all clusters with differing degrees of membership. This is important in domains such as sentence clustering, since a sentence is likely to be related to more than one theme or topic present within a document or set of documents. However, because mos...
متن کاملFuzzy Prototypes Based on Typicality Degrees
This paper considers the task of constructing fuzzy prototypes for numerical data in order to characterize the data subgroups obtained after a clustering step. The proposed solution is motivated by the will of describing prototypes with a richer representation than point-based methods, and also to provide a characterization of the groups that catches not only the common features of the data per...
متن کامل