Small file management is widely encountered in industrial areas. Consolidating small files can benefit the performance of data system. Many existing consolidation solutions fail to realize importance a proper schema. Therefore, they use very primitive and ineffective schemas. In this paper, we focus on proposing an effective robust Unlike most that only historical workload, consider workload un...

This paper presents a novel sentence clustering scheme based on projecting sentences over term clusters. The scheme incorporates external knowledge to overcome lexical variability and small corpus size, and outperforms common sentence clustering methods on two reallife industrial datasets.

The search for groups of important sectors in an economy has been and still is one of the more recurrent themes in input-output analysis. But a sector can probably be important for some questions at the same time, to a different degree. In this direction, a multidimensional fuzzy clustering analysis gives as a result a classification of sectors illustrating the different roles that each one pla...

Piecewise aggregate approximation (PAA) provides a powerful yet computationally efficient tool for dimensionality reduction and feature extraction. A new distance-based hierarchical clustering (HC) is now proposed to adjust the PAA segment frame sizes. The proposed hybrid HC-PAA is validated by a generic clustering method ‘G3Kmeans’ (G3K). The efficacy of the hybrid HC-PAA-G3K methodology is de...

This paper studies how firm performance is influenced by the strength of the industrial cluster (or industrial district) in which it is located. The paper presents estimates of firm-level growth models for a range of two-digit industries in the UK. In these models, employment in the firm’s own sector and employment in other sectors is taken as a measure the strength of the cluster. Strong posit...

Steel consumption is a critical factor affecting pricing decisions and a key element to achieve sustainable industrial development. Forecasting future trends of steel consumption based on analysis of nonlinear patterns using artificial intelligence (AI) techniques is the main purpose of this paper. Because there are several features affecting target variable which make the analysis of relations...

Control variables and command history recorded during normal operation of industrial processes are routinely stored in databases for later analysis. These databases constitute a potentially precious source of information that can be extremely useful from a commercial and strategic perspective. However, the extraction of information from a database is often a non-trivial task, requiring the coop...