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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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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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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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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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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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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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Applications of Connectivity Graph Processes in Networked Sensing and Control
This paper concerns the problem of controlling mobile nodes in a network in such a way that the resulting graph-encoding of the inter-node...
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Plenary Talk: Delays in Control over Communication Networks: Characterization, Impact, and Reduction Strategies
The most notable trend in manufacturing over the past five years is probably the move towards networks at all levels of industrial systems. At lower...
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Homogeneous Semantics Preserving Deployments of Heterogeneous Networks of Embedded Systems
Tagged systems provide a denotational semantics for embedded systems. A heterogeneous network of embedded systems can be modeled mathematically by a...
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Distributed Kalman Filtering and Sensor Fusion in Sensor Networks
The problem of distributed Kalman filtering (DKF) for sensor networks is one of the most fundamental distributed estimation problems for scalable...
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Simulation of Large-Scale Networked Control Systems Using GTSNetS
This paper presents a simulation framework for distributed control using wireless sensor networks. The proposed framework is an extension of the...
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Disturbance Attenuation Bounds in the Presence of a Remote Preview
We study the fundamental limits of disturbance attenuation of a networked control scheme, where a remote preview of the disturbance is available. The...
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Delay-Reliability Tradeoffs in Wireless Networked Control Systems
Networked control systems (NCS) require the data to be communicated timely and reliably. However, random transmission errors incurred by wireless...
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Plenary Talk: The Role of Information Theory in Communication Constrained Control Systems
Communication is an important component of distributed, networked, and cooperative control systems. In most current systems the communication aspects...
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Belief Consensus and Distributed Hypothesis Testing in Sensor Networks
In this paper, we address distributed hypothesis testing (DHT) in sensor networks and Bayesian networks using the average-consensus algorithm of...
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Plenary Talk Network-Embedded Sensing and Control: Applications and Application Requirements
The first part of my talk will cover some recent commercially successful applications of networked and embedded sensing and control solutions. These...
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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...