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Granular Nested Causal Complexes
Causal reasoning occupies a central position in human reasoning. In many ways, causality is granular. This is true for: perception, commonsense...
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Using an Adapted Classification Based on Associations Algorithm in an Activity-Based Transportation System
A lot of research has been carried out in the past by using association rules to build more accurate classifiers. The idea behind these integrated...
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The Evolution of the Concept of Fuzzy Measure
Most information discovery processes need to understand the reasons of the success of the inference methods or the usability of the new information,...
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Discovering the Factors Affecting the Location Selection of FDI in China*
Since the late 1970s, Foreign Direct Investment (FDI) has played an important role in the economic development of China. However, the growth of FDI...
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Sequential Pattern Mining*
Sequential pattern discovery has emerged as an important research topic in knowledge discovery and data mining with broad applications. Previous...
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Uncertain Knowledge Association Through Information Gain
The problem of entity association is at the core of information mining techniques. In this work we propose an approach that links the similarity of...
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Integrated Clustering Modeling with Backpropagation Neural Network for Effcient Customer Relationship Management
The rapid progress in digital data acquisition and storage technology has lead to the fast growing tremendous and amount of data stored in databases,...
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Simulated Annealing Approach for the Multi-objective Facility Layout Problem
In general, facility layout problems are occurred if there are changes in requirements of space, people and equipments. When the changes of...
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Penalty-Reward Analysis with Uninorms: A Study of Customer (Dis)Satisfaction
In customer (dis)satisfaction research, analytic methods are needed to capture the complex relationship between overall (dis)satisfaction with a...
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Association Rule Based Specialization in ER Models
Association rules (ARs) emerged in the domain of market basket analysis and provide a convenient and effective way to identify and represent certain...
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Mining Association Rules with Rough Sets
We say that there is an association between two sets of items when the sets are likely to occur together in transactions. In information retrieval,...
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Accelerating the New Product Introduction with Intelligent Data Mining
New product development (NPD) is a vital activity for companies. It is also a very risky process since every development stage involves a high degree...
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A User Centred Approach to Management Decision Making
The management decision making process is becoming increasingly complicated as more detailed and extensive data is available in this information age....
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Techniques to Improve Multi-Agent Systems for Searching and Mining the Web
Nowadays, an abundant amount of information is created and delivered over electronic media. The information gathering in the Internet is a complex...
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Gene Regulating Network Discovery
Gene regulation has been an important research topic for the past 30 years and data processing models based on different assumptions have been...
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Semantic Relations and Information Discovery
The treatment of semantic relations between terms is essential in information retrieval (IR). Each term in a thesaurus might have classes of...
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Some Considerations in Multi-Source Data Fusion
We introduce the data fusion problem and carefully distinguish it from a number of closely problems. Some of the considerations and knowledge that...
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Fuzzy Process Control with Intelligent Data Mining
The quality-related characteristics cannot sometimes be represented in numerical form, such as characteristics for appearance, softness, color, etc....
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Evolutionary Induction of Descriptive Rules in a Market Problem
Nowadays, face to face contact with the client continues to be fundamental to the development of marketing acts. Trade fairs are, in this sense, a...
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Self-Tuning Fuzzy Rule Bases with Belief Structure
A fuzzy rule-based evidential reasoning (FURBER) approach has been proposed recently, where a fuzzy rule-base designed on the basis of a belief...