Detecting duplicates in click data streams is an important task to fight against click fraud, which is the act of generating false clicks in internet advertising. Revenue generation advertising models, that charge advertisers for each click, leave space for individuals or rival companies to...

This paper aims to identify regional properties of product categories and consumer perception and preferences of relevant grocery retailing product categories, in the Greek Island of Crete and the three cities. The dataset for this research consists of a sample of 2,000 consumers, distributed in...

This paper presents different forecasting functional link artificial neural network (FLANN) models to investigate and compare various time series stock data. The architecture of several FLANN models like CFLANN, LFLANN, LeF-LANN, and CEFLANN are discussed. The processing technique and...

We present new, tractable methods to impute missing values based on conditional probability density functions that we estimate via copula and mixture models. Our methods exploit known analytical results concerning conditional distributions for the Arellano-Valle and Bolfarine's generalised...

The paper deals with semantic data model and its application in data integration. It analyses the issue of mapping database schemes (particularly relational models) for common data models expressed in the form of ontology. Substantial part is dedicated to methods of acquiring ontology from...

This study considers an alternative to zero-one encoding representation of binary chromosomes. In a proposed so-called Hadamard representation the square of each coordinate equals 1. This fact allows the formulation of rules for phenotypes and the development of automated methods of moving frame...

In this paper, we present a class of efficient simulation and modified shrinkage testimators (ST) for the mean µ of normal distribution, when a prior estimate µ<SUB align="right"><SMALL>0</SMALL></SUB> of the mean µ is available from the past. The main idea is to incorporate the prior estimate µ<SUB align="right"><SMALL>0</SMALL></SUB> by modifying the standard...</small></sub></small></sub>

Poor productivity of construction industry is one of the causes of cost and time overruns in construction projects. The first stage to control this problem is to identify factors affecting productivity and analyse them in order to control their effect in productivity. In Egypt, construction...

As a machine intelligence paradigm, the support vector machines (SVMs) have tremendous potential for helping people to classify text document into a fixed number of predefined categories. The purpose of this paper is to discuss a new method of feature selection combined with principal component...

It is a conceptual paper that takes at in-depth look at the origins, pros and cons of Six Sigma and describes how it relates to some of the other quality initiatives in industry. DMAIC strategy of Six Sigma is briefly explained and realised the significance of analysis phase, specifically....