In several real-life data-mining applications, data reside in very high (1000 or more) dimensional space, where both clustering techniques developed for low-dimensional spaces (k-means, BIRCH, CLARANS, CURE, DBScan, etc.) as well as visualization methods such as parallel coordinates or projective visualizations, are rendered ineffective. This paper proposes a relationship-based approach that al...

Mining content, structure and usage data in websites can uncover browsing patterns that different groups of Web visitors follow to access the subjects that are truly valuable to them. Many works in the literature focused on proposing new similarity measures to cluster Web logs and detect segments of browsing behaviors. However, this does not reveal which contents the visitors are interested in ...

Many traditional adaptive web based systems today are complex in its design and implementation which makes them hard to implement in general purpose web sites. The lack of efficient approach and adaptation algorithm makes their usage in isolated cases like: e-commerce sites or only education systems. In this paper we introduce a new adaptation algorithm based on web sites link structure and doc...

We have studied how context specific web corpus can be automatically created and mined for discovering semantic similarity relationships between terms (words or phrases) from a given collection of documents (target collection). These relationships between terms can be used to adjust the standard vectors space representation so as to improve the accuracy of similarity computation between text do...

What is the intention of an online visitor? This is one of the most valuable pieces of information for an online service provider. In the case of a real-world shop, customers have the ability to explicitly express what they are looking for. However, on the web, the intention is hidden and can only be partially revealed from implicit indicators in the traces users leave behind while they browse ...

In general, Policy-based approaches play an important role in the management of web services, for instance, in the choice of semantic web service and quality of services (QoS) in particular. The present research work illustrates a procedure for the web service selection among functionality similar web services based on WS-Policy semantic matching. In this study, the procedure of WS-Policy publi...

Fabric pattern is a folk art of artificial fabrics pattern design which includes apparels (known as clothes and hats), and crafts (known as carpets and tapestries). Although image processing, information retrieval and data mining have made a large impact on many human endeavors, they never had an impact on the study of the fabric image. In this paper we will present the reasons for this, and in...

Microarray is used to generate large amount of gene expression data and observing the differences among gene expression levels. Gene expression time series data represents the trend of gene behaviors. Clustering is a popular analysis for gene expression time series data. Genes in the same cluster have similar behavior. Cluster analysis helps people investigate the relativity among genes. We pro...