Fuzzy inductive learning for multimedia mining
نویسندگان
چکیده
The growing of multimedia data has caused a corresponding growth in the need to analyze and to exploit it. In this paper, we propose to extract knowledge from the whole kind of multimedia data and to bring up a collaborative fuzzy data mining process where each kind of data helps to extract a global knowledge.
منابع مشابه
Real-World Fuzzy Logic Applications in Data Mining and Information Retrieval
This chapter focuses on real-world applications of fuzzy techniques for information retrieval and data mining. It gives a presentation of the theoretical background common to all applications, lying on two main elements: the concept of similarity and the fuzzy machine learning framework. It then describes a panel of real-world applications covering several domains namely medical, educational, c...
متن کاملROLE OF DATA MINING TECHNIQUES IN EDUCATIONAL AND e-LEARNING SYSTEM
The aim of this research is to provide an up-to-date snapshot of the current state of research and applications of Data Mining methods in education and e-learning process. Educational data mining concerned with developing methods for discovering knowledge from educational domain. Use of data mining algorithms can help discovering pedagogically relevant knowledge contained in databases obtained ...
متن کاملAcquisition of a knowledge dictionary for a text mining system using an inductive learning method
A text mining system using domain-dependent dictionaries efficiently analyzes text data. The dictionaries store not only important words for the domains, but also rules composed of some important words. This paper proposes a method that automatically acquires the rules from the text data and their classes by using an inductive learning method. The paper shows that a fuzzy inductive learning alg...
متن کاملData Mining in Finance: Advances in Relational and Hybrid Methods. Boris Kovalerchuk and Evgenii Vityaev, Kluwer, Dordrecht, 2000, 308 pp., ISBN 0-7923-7804-0
DATA MINING IN FINANCE presents a comprehensive overview of major algorithmic approaches to predictive data mining, including statistical, neural networks, rule-based, decision-tree, and fuzzy-logic methods, and then examines the suitability of these approaches to financial data mining. The book focuses specifically on relational data mining (RDM), which is a learning method able to learn more ...
متن کاملCollaborative rule generation: An ensemble learning approach
Due to the vast and rapid increase in data, data mining has become an increasingly important tool for the purpose of knowledge discovery in order to prevent the presence of rich data but poor knowledge. Data mining tasks can be undertaken in two ways, namely, manual walkthrough of data and use of machine learning approaches. Due to the presence of big data, machine learning has thus become a po...
متن کامل