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Article
Diagnoses System of Varicose Disease
نظام تشخيص مرض الدوالي

Author: Mays M. Hoobi ميس محمد هوبي
Journal: Iraqi Journal of Science المجلة العراقية للعلوم ISSN: 00672904/23121637 Year: 2016 Volume: 57 Issue: 2A Pages: 1007-1013
Publisher: Baghdad University جامعة بغداد

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Abstract

The diagnoses system of varicose disease has a good level of performance due to the complexity and uniqueness in patterns of vein of the leg. In addition, the patterns of vein are internal of the body, and its features are hard to duplicate, this reason make this method not easy to fake, and thus make it contains of a good features for varicose disease diagnoses. The proposed system used more than one type of algorithms to produce diagnoses system of varicose disease with high accuracy, in addition, this multi-algorithm technique based on veins as a factor to recognize varicose infection. The obtained results indicate that the design of varicose diagnoses system by applying multi- algorithms (Naïve Bayes and Back-Propagation) produced new system with high accuracy and low (FAR & FRR) as soon as possible.

نظام تشخيص مرض الدوالي يمتاز بمستوى جيد من الاداء حيث يعود السبب في ذلك الى انه أنماط الوريد في الساق تكون وحيده ومعقده . وبالإضافة إلى ذلك ، أنماط الوريد تكون داخل الجسم، و خصائصها من الصعب تكرارها ، وهذا السبب جعل هذه الطريقة صعبة التزوير, وبالتالي جعلها تحتوي على ميزات جيدة لتشخيص مرض الدوالي . للحصول على دقة عالية من النظام المقترح ، يقترح هذا البحث تقنية متعددة الخوارزميات على أساس الأوردة كعامل لتميز الاصابة بمرض الدوالي . تشير النتائج إلى أن تصميم نظام الكشف عن الدوالي من خلال تطبيق خوارزميات متعددة (Naïve Bayes and Back-Propagation) الى إنتاج نظام جديد بدقة عالية و(FAR & FRR ) منخفضة قدر الممكن .


Article
Intrusion Detection System Based on Data Mining Techniques to Reduce False Alarm Rate

Authors: Sarah M. Shareef --- Soukaena H. Hashim
Journal: Engineering and Technology Journal مجلة الهندسة والتكنولوجيا ISSN: 16816900 24120758 Year: 2018 Volume: 36 Issue: 2 Part (B) Engineering Pages: 110-119
Publisher: University of Technology الجامعة التكنولوجية

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Abstract

Nowadays, Security of network traffic is becoming a major issue ofcomputer network system according to the huge development of internet.Intrusion detection system has been used for discovering intrusion and tomaintain the security information from attacks. In this paper, produced twolevels of mining algorithms to construct Network Intrusion Detection System(NIDS) and to reduce false alarm rate, in the first level Naïve Bayes algorithmis used to classify abnormal activity into the main four attack types fromnormal behavior. In the second level ID3 decision tree algorithm is used toclassify four attack types into (22) children of attacks from normal behavior.To evaluate the performance of the two proposed algorithms by using kdd99dataset intrusion detection system and the evaluation metric accuracy,precision, DR, F-measure. The experimental results prove that the proposalsystem done high detection rates (DR) of 99 % and reduce false positives (FP)of 0 % for different types of network intrusions


Article
Surveying the Organization of Digital Contents in the Internet Environments Using Ontological Approaches

Author: Geehan Sabah Hassan
Journal: Ibn Al-Haitham Journal For Pure And Applied Science مجلة ابن الهيثم للعلوم الصرفة والتطبيقية ISSN: 16094042/ 25213407 Year: 2019 Volume: 32 Issue: 3 Pages: 178-183
Publisher: Baghdad University جامعة بغداد

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Abstract

Ontology is a system for classifying human knowledge according to its objectivecharacteristics and hierarchical relations through building clusters or that bear commoncharacteristics. In digital environments, it is a mechanism that helps regulate a vast amount ofinformation by achieving a complete link between sub-thematic concepts and their mainassets. The purpose of this study is to survey the previously conducted studies that useontology in organizing digital data on social networking sites, such as the search enginesYahoo, Google, and social networks as Facebook and their findings. Results have shown thatall these studies invest ontology for the purpose of organizing digital content data, especiallyon the Internet sites.


Article
Improving Laboratories Efficiency through Website Using Text Mining
تحسين كفاءة المختبرات من خلال الموقع الالكتروني عن طريق تحليل النص

Author: Abeer Tariq
Journal: Engineering and Technology Journal مجلة الهندسة والتكنولوجيا ISSN: 16816900 24120758 Year: 2013 Volume: 31 Issue: 2 Part (B) Scientific Pages: 171-184
Publisher: University of Technology الجامعة التكنولوجية

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Abstract

Text mining is an emerging technology that can be used to augment existing data in corporate databases by making unstructured text data available for analysis.This research aim to present a proposed text mining system customized to improve laboratories efficiency. This is done by taking the electronic comments and e-mails produced to the organization web as inputs for that proposed mining system. The proposed text miner is customized for emails and comments written to the organization. For that the basic text mining algorithm will almost be modified by adding new steps, modify some steps by customizing Natural Language Processing (NLP), data mining techniques and building the document database. The proposal applied on the Computer Sciences Department Web and the results obtained are suitable to be published.

تنقيب النص هي تكنولوجيا منبثقة يمكن استخدامها لتعزيز البيانات الموجودة في قواعد بيانات الشركات من خلال جعل البيانات النصيه متاحه للتحليل.هذا البحث يهدف إلى تقديم نظام بيانات نصي مقترح مخصص لتحسين كفاءه المختبرات من خلال اخذ التعليقات الالكترونية ورسائل البريد الالكتروني المقدمة إلى شبكة معلومات المنظمة كمدخلات للنظام التحليلي المقترح . ولقد تم تخصيص هذا النظام لاستلام رسائل البريد الالكتروني و التعليقات المكتوبة للمنظمة, ولأجل هذا يمكن تعديل خوارزمية التحليلي النصي الاساسية بإضافة بعض الخطوات و تخصيص لغات البرمجة الطبيعية و تقنيات تحليل البيانات و بناء قواعد بيانات الوثائق. البحث المقترح طبق لشبكة معلومات قسم علوم الحاسوب و النتائج التي تم الحصول عليها مناسبة للنشر.

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