We use data extracted from many weblogs to identify the underlying relations of a set of companies in the Standard and Poor (S&P) 500 index. We define a pairwise similarity measure for the companies based on the weblog articles and then apply a graph clustering procedure. We show that it is possible to capture some interesting relations between companies using this method. As an application of ...

Our preliminary research identi ed multiple approaches to automatic process clustering. Prototypical tools implementing these approaches were developed. The resulting cluster hierarchies have been evaluated by comparing them to the author's understanding of the application design. This paper discusses two quantitative measures for process cluster evaluation, taken from the literature and adopte...

introduction: according to change in the approach to the rehabilitation of children with disability, function is an effective characteristic of the quality of life for these children. pediatric evaluation of disability inventory (pedi) was designed to assess the function of 6 months to 7 and half years old children. the aim of this study was to translate the pediatric evaluation of disability i...

We develop a biased Monte Carlo algorithm to measure probabilities of rare events in cluster-cluster aggregation for arbitrary collision kernels. Given trajectory with fixed number collisions, the modifies both waiting times between as well sequence using local moves. show that is ergodic by giving protocol transforms an standard valid The can sample order $10^{-40}$ and lower. algorithm's effe...

AIM This paper is a report of research to translate the English version of the Stages of Change continuous measure questionnaire (URICA-E2) into Norwegian and to test the validity of the questionnaire and its usefulness in predicting behavioural change. BACKGROUND While the psychometric properties of the Stages of Change categorical measure have been tested extensively, evaluation of the psyc...

3 Session-based Query Clustering 8 3.1 Query Session Extraction . . . . . . . . . . . . . . . . . . . . . . . . 10 3.2 Naive Similarity Based on Clickthroughs . . . . . . . . . . . . . . . . 12 3.3 Combination of Query Clustering and Document Clustering . . . . . 13 3.3.1 Unidirectional Clustering . . . . . . . . . . . . . . . . . . . . 14 3.3.2 Bidirectional Clustering . . . . . . . . . . . . ...

Scalable distributed semantic storage infrastructures are hard to realize. We propose the usage of principles of selforganization for the storage and retrieval of RDF triples. We use a biology-inspired algorithm for clustering of triples based on a purely syntactical similarity measure.

Huge multilingual news articles are reported and disseminated on the Internet. ltow to extract the kcy information and savc the reading time is a crucial issue. This paper proposes architecture of multilingual news sumlnarizer, including monolingual and multilingual clustering, similarity measure among lneaningful ullits, and presentation of summarization results. Translation anlong news storie...