Knowledge-Based Systems

Most of the retrieval systems concentrate much on low-level features such as color, texture, shape and position. The present system is mainly developed based on the visual descriptors of the image such as color, texture and shape descriptors, etc. along ...

This work presents a knowledge-based system and architecture for the formalization of quality of service (QoS) characteristics and measurement methods in telematic services, and for the collection, distribution and assessment of the QoS information ...

Sequential pattern mining is an essential research topic with broad applications which discovers the set of frequent subsequences satisfying a support threshold in a sequence database. The major problems of mining sequential patterns are that a huge set ...

Ontology-based information systems can offer precision and effective information retrieval but suffer from the problem of ontology heterogeneity. Approximate information filtering approaches use approximations of concepts to solve this problem. Current ...

Banks currently have a great interest in internal audits to reduce risks, to prevent themselves from insolvency, and to take quick action for financial incidents. This study presents an integrated audit approach of rule-based and case-based reasoning, ...

This paper presents a knowledge-based decision support system for measuring enterprise performance. The KDSS system provides not only company's various financial data query, but also enterprise performance based on knowledge reasoning. Additionally, an ...

Multiple attribute decision making (MADM) is an important part of modern decision science. It has been extensively applied to various areas such as society, economics, military, management, etc., and has been receiving more and more attention over the ...