This paper suggests an original heuristic modelling algorithm expressed in terms of
homogenous combinations of the classical system dynamics and the Bayesian degree of …

In this work we describe a new statistically-based methodology to organize and retrieve
images of natural scenes by combining feature extraction, automatic clustering, automatic …

The present paper introduces an image retrieval framework based on a rule base system.
The proposed framework makes use of color and texture features, respectively called color …

Radio frequency identification (RFID) enabled retail store management needs workflow
optimization to facilitate real-time decision making. In this paper, complex event processing …

This paper introduces unsupervised image retrieval framework based on a rule base
system. The proposed framework makes use of geometric moments (GMs) for features …

Attribute-oriented induction (AOI) is a useful data mining method for extracting generalized
knowledge from relational data and users' background knowledge. Concept hierarchies can …

We are surrounded by information and much of it needs to be stored and analysed. Data
analysis would be easier if the data storage structure were closer to that of a natural data …

商业数据流具有动态性, 漂移性等特性, 概念漂移特征选择是数据流挖掘的重要工作之一木文从
数据流的特点和概念漂移特性出发, 提出了数据流的概念形式化分析流程和基于粒计算构建数据 …

Due to the increase in the amount of relational data that is being collected and the limitations
of propositional problem definition in relational domains, multi-relational data mining has …

Granular computing become a new label of theories, methodologies, and tools that make
use of granules in the process of problem solving. The infrastructure of granular computing …