Genome-wide association studies (GWAS) are routinely conducted for both quantitative and binary (disease) traits. We present two analytical tools for use in the experimental design of GWAS. Firstly, we present power calculations quantifying power in a unified framework for a range of scenarios. In this context we consider the utility of quantitative scores (e.g. endophenotypes) that may be avai...

This article introduces the concept of the variability of association rules of products through the estimate of a new indicator called overall variability of association rules (OCVR). The proposed indicator applied to super market chain products, tries to highlight product market baskets, with great variability in consumer behavior. Parameter of the variability of association rules in connectio...

One of the important tasks in solving data mining problems is finding frequent patterns in a given dataset. It allows to handle several tasks such as pattern mining, discovering association rules, clustering etc. There are several algorithms to solve this problem. In this paper we describe our task and results: a method for reordering a data matrix to give it a more informative form, problems o...

The problem of detecting terms that can be interesting to the advertiser is considered. If a company has already bought some advertising terms which describe certain services, it is reasonable to find out the terms bought by competing companies. A part of them can be recommended as future advertising terms to the company. The goal of this work is to propose better interpretable recommendations ...

The purpose of this study is to use clustering variables according to the Kaya identity, an equation involving energy consumption, economic growth and carbon dioxide emissions. By using aggregate data from the International Energy Agency for a dataset of developed and developing countries, we perform clustering according to variables such as population, gross domestic product (GDP), total prima...

The Discovery of association rules is a non-supervised task of data mining. Its mostly hard step is to look for the frequent itemsets embedded into large amounts of data. Based on the theory of Formal Concept Analysis, we suggest that the notion of Formal Concept generalizes the notion of itemset, since it takes into account the itemset (as the intent) and the support (as the cardinality of the...

The naming of natural features, such as hills, lakes, springs, meadows etc., provides awealth of linguistic information; the study of the names and naming systems is called onomastics. We consider a data set containing all names and locations of about 58,000 lakes in Finland. Using computational techniques, we address two major onomastic themes. First, we address the existence of local dependen...

Genetic Correlation Between Schizophrenia and Epilepsy Neuropathological, clinical, and epidemiological data suggest that schizophrenia and epilepsy are associated.1 Reported estimates of the prevalence of schizophrenia among people with epilepsy vary, depending on phenotypic definition, but may be around 7%.2 One hypothesis to account for the relationship is that the 2 diseases share a common ...

the solubility of cdf2 in the mixed solvent (water(1)+ethanol(2)) with mass fraction, w1 = 0.9,was determined by using solvent evaporating method in the presence of various concentrations(0.100, 0.200, 0.300, 0.400, 0.500, 0.600, 0.800 and 1.500 mo1.1)) of naci at 25°c. the values ofsolubility and solubility product constant of cdf2 in the mixed solvent were evaluated at zero ionicstrength upon...

considering the importance of parasitic wasps in biological control of pests, a faunal study was conducted in the year 2012 on eulophid wasps (hym.: chalcidoidea) in rice fields in the east of guilan province, southern coast of caspian sea. several specimens were captured via malaise traps. the specimens were identified as aprostocetus deobensis (graham), aprostocetus mycerinus (walker), elasmu...