An interaction table is a summable square matrix emerging in analysis of inter-citation, international trade, brand-switching, mobility, or input-output industrial data. Three approaches to aggregation of interaction data are theoretically compared: (i) loglinear modeling, (ii) aggregation of Markov chains, and (iii) principle of equivalence in the correspondence analysis. This way an empirical...

this paper presents a fuzzy decision-making approach to deal with a clustering supplier problem in a supply chain system. during recent years, determining suitable suppliers in the supply chain has become a key strategic consideration. however, the nature of these decisions is usually complex and unstructured. in general, many quantitative and qualitative factors, such as quality, price, and fl...

Rapid growth in East Asia (despite the 1997-98 crises) has been unique as it is clustered so intensively only in that particular region. The flying-geese model of industrial upgrading is applied to the emergence of Pax-Americanaled growth clustering. The high propensity of the U.S. to transplant manufacturing overseas, Japan’s roles of structural intermediator and capacity augmenter, and catchi...

The project integrates work in natural language processing, machine learning, and the semantic web, bringing together these diverse disciplines in a novel way to address a real problem. The objective is to extract and categorize machine components and subsystems and their associated failures using a novel approach that combines text analysis, unsupervised text clustering, and domain models. Thr...

A classical problem in grammatical inference is to identify a deterministic finite automaton (DFA) from a set of positive and negative examples. In this paper, we address the related – yet seemingly novel – problem of identifying a set of DFAs from examples that belong to different unknown simple regular languages. We propose two methods based on compression for clustering the observed positive...

An unsupervised approach to classify surface defects in wire rod manufacturing is developed in this paper. The defects are extracted from an eddy current signal and classified using a clustering technique that uses the dynamic time warping distance as the dissimilarity measure. The new approach has been successfully tested using industrial data. It is shown that it outperforms other classificat...

These global economic trends tend to favor large metropolitan areas. For reasons of industrial clustering, human capital, and financial resources, metro areas have captured most of the jobs in the new economy. Between 1978 and 1997 employment in metro areas in the South increased by 63.7% while employment in nonmetro areas grew by only 28.9%. And in many nonmetro counties lower-paying jobs in s...