College of Science

Breast Cancer Tissues Recognition Using Fractal Dimension, Fuzzy Logic and Neural Network

In this research work, two recognition systems have been developed to recognize different breast tissues (normal or cancer infected). The multifractal dimensions have been used as textural discriminating
feature. The difference between the two established systems is the first is based on using fuzzy logic to make recognition decision,while in the second system the feed forward neural network is used instead

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Data Mining Using Association Rules with Fuzzy Logic

The growth of massive data stores has led to the development of a number of automated processors that work to discover relationships in and between the data in those stores. These processors are often referred to by a number of names including data mining, knowledge discovery, pattern recognition, artificial and machine learning.Data mining is the nontrivial extraction of implicit, previously unknown, and potentially useful information from data.

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Web Text Mining Using Fuzzy Logic

 With the explosive growth of the amount of content on the Internet,it has become increasingly difficult for users to find and utilize information and for content providers to classify and catalog documents.Traditional web search engines often return hundreds or thousands of results for a search, which is time consuming for users to browse therefore the searching Web pages similarity is using.The proposed system (Web Pages Fuzzy Similarity) consists of two phases: Off-line and On-line phases.

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