Mortadha Hamad

• Lecturer at University of Anbar

Because we only examine a small sample of texture features for the estimation of the fractal dimension (FD), and because the classification algorithms used to determine FD objects are inherently inexact and in conflict with each other, the estimation of FD is subject to some uncertainty. This is why a new definition of the Multi-Fractal dimension (...

Over the 3-decades ago and more, Fractal Geometry (FG) has received a lot of attention of a number of researchers, with robust application and excellent properties in relation to the scenario of the current research. A crucial part is played by the Fractal Dimension (FD) in Analysis of complex objects that have not been analyzed in geometry of Eucl...

Building of Sentiment Decision Support System using Web Mining

There are currently huge reviews that have increased every day of customer actions in online media, such as Twitter about the restaurant industry, which needs more focus for customers by constantly enhancing customer service. Satisfaction of the customer is a gateway to customer service. Sentiment analysis is a way of defining negative or positive...

Speeding up query processing using some mechanisms like summary tables and indexes is a sensitive issue in the data warehouse.The main contribution of this work is to achieve high query performance by composing the more beneficial MV using Particle Swarm Optimization (PSO) algorithm by choosing the optimal solution when submitting new queries to th...

For the success of any data warehouse, accurate and timely consolidated information along with quick and effective query response times is the basic fundamental requirement. The materialization of all views is practically impossible because of the materialized view storage space and maintenance cost constraint thus proper materialized views selecti...

Speeding up query processing using some mechanisms like summary tables and indexes is a sensitive issue in the data warehouse. This research presents a framework for selecting best materialized view using algorithm Particle Swarm Optimization (PSO). The results showed that the proposed method is better than other techniques through compute the rati...

The problem of discovering and removing duplicated records is one of the main problems in the wide area of data cleaning and data quality in the data warehouse. In this paper, researchers try to find a similar data from a set of data records. A similarity grade is assigned to the data records in relation to other data records based on a similarity...

Duplicate records are broad problem in many of the databases. There are wide efforts focusing on elimination of duplicate in data sets, because is it important part of data cleaning. This paper focuses on discovery and removing duplication by using fuzzy logic technique.

Over the recent years, a great interest has appeared in studying "knowledge warehouse (KW), decision support system (DSS), data mining (DM), and knowledge discovery process in database (KDD)", taking into consideration that each of these fields is related to and influenced by the others. In order to manage enterprise resources, there is a necessary...

Data pre-processing stage is also known as (data preparation) stage and it is a fundamental stage for data analysis and knowledge discovery. lf there is much irrelevant and redundant information or noisy and unreliable data then knowledge discovery during analysis and mining phase will be more difficult. Therefore we consider the pre-processing sta...