The aim of this paper is present a novel method of data sample reduction for classification of interval information. Its concept is based on the sensitivity analysis, inspired by artificial neural networks, while the goal is to increase the number of proper classifications and primarily, calculation speed. The presented procedure was tested for the data samples representing classes obtained by ...

Comparison of two numbers in RNS systems is a challenging task. In this paper, a new algorithm to compare the magnitude of two RNS numbers, using a clustering method has been proposed. In the clustering process, each inputted number is assigned to a cluster. To compare the magnitude of two numbers, first the clusters of these numbers and their differences are obtained. Then by comparing these c...

MOTIVATION Array-CGH can be used to determine DNA copy number, imbalances in which are a fundamental factor in the genesis and progression of tumors. The discovery of classes with similar patterns of array-CGH profiles therefore adds to our understanding of cancer and the treatment of patients. Various input data representations for array-CGH, dissimilarity measures between tumor samples and cl...

This paper focuses on the development and novel application of data mining techniques for convoy analysis of vehicles based on the automatic number plate recognition (ANPR) system. The amount of ANPR data captured daily by traffic cameras in the road networks is very substantial. Data mining techniques are commonly used to extract relevant information and to reduce the amount of data processing...

PURPOSE To observe the spatial distribution of households with high loads of ocular chlamydia infection in children, before and after mass treatment with azithromycin to determine whether there exists spatial clustering of households with high loads of infection and the spatial scale of the clustering. METHODS All residents of a village in Tanzania were invited to participate in the study. A ...

Given an undirected graph G = (V,E) and a nonnegative integer k, the NPhard Cluster Editing problem asks whether G can be transformed into a disjoint union of cliques by modifying at most k edges. In this work, we study how “local degree bounds” influence the complexity of Cluster Editing and of the related Cluster Deletion problem which allows only edge deletions. We show that even for graphs ...

Energy constraint is the biggest challenge in wireless sensor networks because the power supply of each sensor node is a battery that is not rechargeable or replaceable due to the applications of these networks. One of the successful methods for saving energy in these networks is clustering. It has caused that cluster-based routing algorithms are successful routing algorithm for these networks....

The focus of this research is to develop a method for building Text to Speech Systems for resource poor languages by using data from other languages to fine tune a general template polyglot TTS architecture. Our method involves three main componants: language clustering, phoneme mappings and prosody modelling. As a proof of concept, four TTS have been implemented for English, Spanish, Malay and...

Biologists have long observed periodic-like oxygen consumption oscillations in yeast populations under certain conditions, and several unsatisfactory explanations for this phenomenon have been proposed. These ‘autonomous oscillations’ have often appeared with periods that are nearly integer divisors of the calculated doubling time of the culture. We hypothesize that these oscillations could be ...

Jovana Zoroja Mirjana Pejić Bach Editorial: Impact of Information and Communication Technology to the Competitiveness of European Countries Cluster Analysis Approach Journal of Theoretical and Applied Electronic Commerce Research ISSN 0718–1876 Electronic Version VOL 11 / ISSUE 1 / JANUARY 2016 / I-X © 2016 Universidad de Talca Chile This paper is available online at www.jtaer.com DOI: 10.4067/...