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Article
Proposed Enhancement algorithm for Company Employers Management using Genetic Algorithm in Data Mining
مقترح تحسين خوارزمية ادارة موظفي الشركات باستخدام الخوارزميات الجينية في تنقيب البيانات

Author: Dalia Nabeel Kamal
Journal: Engineering and Technology Journal مجلة الهندسة والتكنولوجيا ISSN: 16816900 24120758 Year: 2010 Volume: 28 Issue: 2 Pages: 261-270
Publisher: University of Technology الجامعة التكنولوجية

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Abstract

Data mining is a process of automatically discovering useful information inlarge data repositories that uses a variety of data analysis tools to discover patternsand relationships that can be hidden among vast amount of data. From thesepatterns and relationships, businesses and organizations can make validpredictions about future trends in all areas of business. Association rule mining isa typical approach used in data mining domain for uncovering interesting trends,patterns and rules in large datasets.This research concentrates on one particular aspect to improve the efficiency ofthe association rules technique in data mining and implement the proposedalgorithm on employers management system. The resulted association whichintroduced by applying rule technique, will be treated by genetic algorithm to finda new rules that might be more efficient and powerful for proposed data base bypropose cross point ,threshold for fitness to deal consistently with the formula ofthe association rules, and gives good results.

تنقيب البيانات هي عملية استخدام ادوات التحليل لمجموعة من البيانات المختلفة من اجلالحصول على انماط وعلاقات غير ظاهرة بين كمية هائلة من البيانات . ومن خلال هذه الانماطوالعلاقات تستطيع شركات الاعمال والمؤسسات من بناء توقعات جديدة في جميع مجالاتالعمل المختلفة. قاعدة الارتباط او التداخل في تنقيب البيانات تعتبر الطريقة الملائمة لتنقيبالبيانات في مجال استخدام طرق واساليب جديدة,وانماط وفواعد بين كمية هائلة جدامن البيانات.هذا البحث يطرح فكرة جديدة تهدف الى زيادة كفاءة قاعدة الارتباط او التداخل في تنقية تنقيبالبيانات وذلك من خلال استخدام الخوارزميات الجينية وامكانياتها في الحصول على مقترحيعمل على زيادة وقوة قاعدة البيانات.تم تطبيق قاعدة الارتباط او التداخل على كمية هائلة من البياناتوتنفيذه على نظام ادارةالموظفين في اي شركة او مؤسسة واعتماد النتائج التي تم الحصول عليها كمدخلات الىالخوارزمية الجينية للوصول الى مقترح يعمل على زيادة كفاءة وقوة قاعدة البيانات وذلك بسببالمميزات التي تمتلكها الخوارزمية الجينية من حيث عملية التقاطع بين النتائج وتحديد مقياس كفاءة كحد حرج للخوارزمية ومطابقة القواعد الناتجة من الخوارزمية الجينية مع الشروط لبناءالقواعد المترابطة والتي كانت مشجعة.


Article
SUGGETIONS TO IMPROVE THE EFFICIENCY OF ASSOCIATION RULESTECHNIQUES IN DATA MINING
مقترح لتحسين كفاءة تقنيات قوانين الارتباط في تنقيب البيانات

Authors: Hillal Hadi Salih --- Soukaena Hassan Hash --- Shaimaa Akram Hassan
Journal: AL-TAQANI مجلة التقني ISSN: 1818653X Year: 2010 Volume: 23 Issue: 4 Pages: 32-41
Publisher: Foundation of technical education هيئة التعليم التقني

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Abstract

Data mining is a process that uses a variety of data analysis tools to discover patterns and relationships that can be hidden among vast amount of data. From these businesses and organizations can make valid predictions about future trends in all areas of business. Association rule mining is a typical approach used in data mining domain for uncovering interesting trends, patterns and rules in large datasets This research concentrates on one particular aspect to improve the efficiency of the association rules technique in data mining by the following:1.With databases have large set of items, it suggested to find the frequent itemsets by using depth search. In detail that done by finding the largest frequent itemset and then finding all the sub frequent itemsets from it. This proposal aim will speed up the process of finding frequent itemsets.2.Classify the frequent itemsets to three classes closed frequent, maximal frequent and normal frequent. This proposal classification is important in the analysis process to support and strength the prediction with association rules.

تنقيب البيانات هي عملية استخدام أنواع مختلفة من طرق تحليل البيانات لاكتشاف الانماط والعلاقات المخبؤة وسط كم هائل من البيانات والتي من خلالها تتمكن الشركات والتعاملات المالية من التنبؤ المستقبلي المقبول في مختلف الجوانب.قوانين الارتباط هي احدى التقنيات المستخدمة في تنقيب البيانات لاكتشاف الصيغ والقوانين المهمة في قواعد البيانات الكبيرة في هذا البحث تم التركيز على تحسين كفاءة قوانين الارتباط من خلال:-تم اقتراح ايجاد مجموعة العناصر المتكررة في قواعد البيانات التي تحتوي على عدد كبير من العناصر باستخدام تقنية البحث بالعمق لايجاد اطول مجموعة عناصر متكررة ومن خلالها يتم ايجاد كل العناصر المتكررة الجزئية بهدف زيادة السرعة.-تصنيف مجموعة العناصر المتكررة الى ثلاث مجاميع وهي: المتكررة المغلقة والمتكررة العظمى والمتكررة الطبيعية. هذا التصنيف المقترح ذو اهمية في عملية التحليل لدعم وتقوية التنبؤ بواسطة قوانين الارتباط.


Article
Approach for Spatial Database Mining

Authors: Prof. Dr. Ala’a H. AL-Hamami --- Assest Prof. Dr. Soukaena Hassan --- Dr. Mazin Sameer Al-Hakeem
Journal: Journal of Baghdad College of Economic sciences University مجلة كلية بغداد للعلوم الاقتصادية الجامعة ISSN: 2072778X Year: 2012 Issue: 31 Pages: 407-420
Publisher: Baghdad College of Economic Sciences كلية بغداد للعلوم الاقتصادية

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Abstract

Most of the previous spatial mining works are depend on strategy of organizing the huge spatial data in a suitable data structure and usually the data organized as R-Tree. The data mining algorithms then applied on each level of R-Tree. This method causes time consuming and takes huge storage area and leads to inadequate results. The proposed approach suggests the following strategy for efficient spatial mining. It collects all the spatial data and organizes it (according to normalization and generalization) to a flat data base. After that the following steps will be executed: build the proposed spatial database, apply mining algorithms on the proposed Structure of the spatial data to extract the association rules, clusters and classes. Finally analyzes the resulted patterns from the mining algorithms.


Article
Enhancement of Association Rules Interpretability using Generalization

Authors: Safaa O. Al-Mamory --- Zahraa Najim Abdullah
Journal: Journal of University of Babylon مجلة جامعة بابل ISSN: 19920652 23128135 Year: 2017 Volume: 25 Issue: 3 Pages: 774-790
Publisher: Babylon University جامعة بابل

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Abstract

Data mining has a number of common methods. One of such methods is the association rules mining. While association rules mining often produces huge number of rules, it prevents the analyst from finding interesting rules and consequently, this method is a waste of time. Visualization is one of the methods to solve such problems. However, most of the association rule visualization techniques are suffering from viewing huge number of rules. This paper provides a modification on the techniques of the visualization to help the analyst to interpret the association rules by grouping the large number of rules using a modified Attribute Oriented Induction algorithm, then; these grouped rules are visualized using a grouped graph method. Experimental results show that the proposed technique produces excellent compression ratio.

تعدين البيانات يمتلك عدد من الطرق الشائعة، وان تعدين قواعد الاقتران هي احدى تلك الطرق. بما ان تعدين قواعد الاقتران ينتج كمية هائلة من القواعد فأنه يمنع المحلل من ايجاد القواعد المهمة، وبالتالي فان هذه العملية تعتبر تضييع للوقت. العرض هو احدى الطرق لحل هكذا مشاكل. وبما أن معظم تقنيات عرض قواعد الاقتران تعاني من عرض عدد هائل من القواعد، فأن هذا البحث يوفر تعديل لتقنيات العرض لتساعد المحلل لتفسير قواعد الاقتران بواسطة تجميع عدد كبير من القواعد باستخدام خوارزمية الاستقراء الموجه للصفات المعدلة و من ثم عرض تلك القواعد المجمعة باستخدام طريقة الرسم البياني المجمع , وقد أوضحت النتائج ان التقنية المقترحة تنتج نسبة ضغط ممتازة.


Article
Face Recognition and Retrieval based on Wavelet Transform Using Association Rules in Android Operating System
التعرف على الوجه واسترجاعها على أساس تحويل المويجات باستخدام قوانين الرابطة في نظام التشغيل أندرويد

Authors: Abdul-Wahab Sami Ibrahim --- Raniah Ali Mustafa
Journal: Iraqi Journal of Information Technology المجلة العراقية لتكنولوجيا المعلومات ISSN: 19948638/26640600 Year: 2016 Volume: 7 Issue: 2 اللغة الانكليزية Pages: 98-117
Publisher: iraqi association of information الجمعية العراقية لتكنولوجيا المعلومات

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Abstract

In this paper, we propose face detection approach was successfully implemented on Android Operating System version (4.3) which involved programming in Java language version 6 and face recognition system successfully implemented in programming language visual basic 6.0. The main idea of the proposed system depends on the fact that any face image person has multi unique features. These features are different from one face image to another. Our proposed algorithm depends on wavelet transform to extract features from the face image person to extract association rules between these features to recognition face images person and retrieval. And then each face image is stored with its association rules in the association rules database to be used in face image recognition and retrieval systems. From experiments and test results it is noted that behavior of proposed face detection approach leads to higher detection performance results, face recognition and retrieval approach leads to higher performance results for most classes. The system was tested over a database collected from 30 volunteers, where 15 images for each person were collected under different lighting conditions, varied in expression, orientations, illumination, skin color, background, ages, and faces shapes (the mouth and eyes are open or closed, with or without glasses, male and female... etc.). The achieved training rate was 100% and recognition rate (72%) and the average of precision (70.5%) were achieved.

في هذا البحث , أقترحنا طريقة الكشف عن الوجه نفذت بنجاح على نظام التشغيل الأندرويد الأصدار (4.3) التي تشمل البرمجة بلغة الجافا الأصدار 6 ونظام التعرف على الوجه نفذت بنجاح في لغة البرمجة visual Basic 6.0. الفكرة الرئيسية لنظام المقترح تعتمد على أن أي صورة لها مميزات فريدة متعددة. هذه الميزات تختلف من صورة وجه إلى أخرى. الخوارزمية المقترحة تعتمد على تحويل المويجات لأستخراج الخصائص من صورة وجه الشخص لأستخراج العلاقات الترابطية بين هذه الخصائص لتمييز صورة وجه الشخص وأسترجاعها.ثم تخزين كل صورة مع قواعدها الترابطية في قاعدة بيانات القواعد الترابطية لأستخدامها في نظام تمييز الوجه وأسترجاعها. من نتائج الاختبار لاحظنا أن سلوك النهج الكشف عن الوجه المقترح يؤدي الى نتائج أداء عالية, التعرف على الوجه وطريقة أسترجاعها يؤدي الى نتائج أداء عالية لمعظم فئات صور الوجه. تم اختبار النظام على قاعدة بيانات تم جمعها من 30 متطوعا، حيث تم جمع 15 صورة لكل شخص جمعت في ظل ظروف إضاءة مختلفة, ومتنوعة في التعبير, وتوجاتها, والاضاءة, ولون البشرة, الخلفية, الأعمار وشكل الوجوه (الفم والعيون مفتوحة أو مغلقة, مع أو بدون نظارات, ذكوراً وإناثاً......الخ). حققت معدل التدريب (%100) وحققت معدل تمييز ( 72% ) ومتوسط الدقة (70.5%).


Article
Analytical Study using Association Rules and Mean of Confidence to Analyze The Poverty Factors in Baghdad Capital of Iraq
د ا رسة تحليلية باستخدام القواعد الارتباطية ومتوسط الموثوقية لتحليل عوامل الفقر في بغداد عاصمة الع ا رق

Authors: Ghazi Johnny --- dr.ali mohammed sahan --- Ali Sami
Journal: JOURNAL OF MADENAT ALELEM COLLEGE مجلة كلية مدينة العلم الجامعة ISSN: 2073,2295 Year: 2017 Volume: 9 Issue: 2 Pages: 73-83
Publisher: City College of Science University كلية مدينة العلم الجامعة

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Abstract

Poverty is a negative phenomenon that seriously threatened the progress and growth of communities. Studying poverty using scientific research leads to identify communities. Studying poverty using scientific research leads to identify the most important influential factors of this phenomenon. In paper, the poverty in Iraq has been studied influential factors of this phenomenon. In paper, the poverty in Iraq has been studied influential factors of this phenomenon. In paper, the poverty in Iraq has been studied influential factors of this phenomenon. In paper, the poverty in Iraq has been studied influential factors of this phenomenon. In paper, the poverty in Iraq has been studied influential factors of this phenomenon. In paper, the poverty in Iraq has been studied influential factors of this phenomenon. In paper, the poverty in Iraq has been studied influential factors of this phenomenon. In paper, the poverty in Iraq has been studied influential factors of this phenomenon. In paper, the poverty in Iraq has been studied influential factors of this phenomenon. In paper, the poverty in Iraq has been studied influential factors of this phenomenon. In paper, the poverty in Iraq has been studied influential factors of this phenomenon. In paper, the poverty in Iraq has been studied influential factors of this phenomenon. In paper, the poverty in Iraq has been studied influential factors of this phenomenon. In paper, the poverty in Iraq has been studied influential factors of this phenomenon. In paper, the poverty in Iraq has been studied through a sample of families in Baghdad city which is the largest and most important through a sample of families in Baghdad city which is the largest and most important through a sample of families in Baghdad city which is the largest and most important through a sample of families in Baghdad city which is the largest and most important through a sample of families in Baghdad city which is the largest and most important through a sample of families in Baghdad city which is the largest and most important through a sample of families in Baghdad city which is the largest and most important through a sample of families in Baghdad city which is the largest and most important through a sample of families in Baghdad city which is the largest and most important through a sample of families in Baghdad city which is the largest and most important through a sample of families in Baghdad city which is the largest and most important through a sample of families in Baghdad city which is the largest and most important through a sample of families in Baghdad city which is the largest and most important through a sample of families in Baghdad city which is the largest and most important through a sample of families in Baghdad city which is the largest and most important through a sample of families in Baghdad city which is the largest and most important through a sample of families in Baghdad city which is the largest and most important Iraq. The relational databases as well the factor Iraq. The relational databases as well the factor Iraq. The relational databases as well the factor Iraq. The relational databases as well the factor Iraq. The relational databases as well the factor Iraq. The relational databases as well the factor Iraq. The relational databases as well the factor Iraq. The relational databases as well the factor Iraq. The relational databases as well the factor s related with poverty phenomenon s related with poverty phenomenon s related with poverty phenomenon s related with poverty phenomenon s related with poverty phenomenon including gender age, the number of family members, educational level, skilled, corruption, including gender age, the number of family members, educational level, skilled, corruption, including gender age, the number of family members, educational level, skilled, corruption, including gender age, the number of family members, educational level, skilled, corruption, including gender age, the number of family members, educational level, skilled, corruption, including gender age, the number of family members, educational level, skilled, corruption, including gender age, the number of family members, educational level, skilled, corruption, including gender age, the number of family members, educational level, skilled, corruption, including gender age, the number of family members, educational level, skilled, corruption, including gender age, the number of family members, educational level, skilled, corruption, including gender age, the number of family members, educational level, skilled, corruption, including gender age, the number of family members, educational level, skilled, corruption, including gender age, the number of family members, educational level, skilled, corruption, disability and disease, wars disasters have been considered. The association rules disability and disease, wars disasters have been considered. The association rules disability and disease, wars disasters have been considered. The association rules disability and disease, wars disasters have been considered. The association rules disability and disease, wars disasters have been considered. The association rules disability and disease, wars disasters have been considered. The association rules disability and disease, wars disasters have been considered. The association rules disability and disease, wars disasters have been considered. The association rules disability and disease, wars disasters have been considered. The association rules disability and disease, wars disasters have been considered. The association rules disability and disease, wars disasters have been considered. The association rules disability and disease, wars disasters have been considered. The association rules mean of confidence have been used to an mean of confidence have been used to an mean of confidence have been used to an mean of confidence have been used to an mean of confidence have been used to an mean of confidence have been used to an mean of confidence have been used to an alyze the main factors for spread of poverty alyze the main factors for spread of poverty alyze the main factors for spread of poverty alyze the main factors for spread of poverty alyze the main factors for spread of poverty alyze the main factors for spread of poverty alyze the main factors for spread of poverty alyze the main factors for spread of poverty alyze the main factors for spread of poverty phenomenon in order to provide clear diagnosis of the most influential factors phenomenon in order to provide clear diagnosis of the most influential factors phenomenon in order to provide clear diagnosis of the most influential factors phenomenon in order to provide clear diagnosis of the most influential factors phenomenon in order to provide clear diagnosis of the most influential factors phenomenon in order to provide clear diagnosis of the most influential factors phenomenon in order to provide clear diagnosis of the most influential factors phenomenon in order to provide clear diagnosis of the most influential factors phenomenon in order to provide clear diagnosis of the most influential factors phenomenon in order to provide

الفقر هو ظاهرة سلبية تهدد بجدية تقدم ونم والمجتمعات، ان د ا رسة الفقر باستخدام البحث العلمي يؤدي الى تحديد اهمالعوامل المؤثرة في هذه الظاهرة. في هذا البحث تم د ا رسة الفقر في الع ا رق من خلال د ا رسة عينة من العوائل في مدينةبغداد كونها اكبر واهم مدن الع ا رق. قواعد البيانات العلائقية بالإضافة الى العوامل المرتبطة بظاه رة الفقر تتضمن الجنس،العمر، عدد أف ا رد العائلة، المستوى التعليمي، اصحاب المها ا رت، الفساد، الاعاقة والمرض، الحروب والكوارث. قواعدالارتباط ومتوسط الموثوقية استخدمت في تحليل العوامل الرئيسية لتفشي من اجل توفير تشخيص واضح أكثر العوامل تأثي ا رفي تفشي هذه الظاهرة مما يقود الى وضع حلول مناسبة لتقليل تأثير هذه العوامل.


Article
Evaluation of Different Data Mining Algorithms with KDD CUP 99 Data Set

Authors: Safaa O. Al-mamory --- Firas S. Jassim
Journal: Journal of University of Babylon مجلة جامعة بابل ISSN: 19920652 23128135 Year: 2013 Volume: 21 Issue: 8 Pages: 2663-2681
Publisher: Babylon University جامعة بابل

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Abstract

Data mining is the modern technique for analysis of huge of data such as KDD CUP 99 data set that is applied in network intrusion detection. Large amount of data can be handled with the data mining technology. It is still in developing state, it can become more effective as it is growing rapidly.Our work in this paper survey is for the most algorithms Data Mining using KDD CUP 99 data set in the classification of attacks and compared their results which have been reached, and being used of the performance measurement such as, True Positive Rate (TP), False Alarm Rate(FP), Percentage of Successful Prediction (PSP) and training time (TT) to show the results, the reason for this survey is to compare the results and select the best system for detecting intrusion(classification). The results showed that the Data Mining algorithms differ in the proportion of determining the rate of the attack, according to its type. The algorithm Random Forest Classifier detection is the highest rate of attack of the DOS, While Fuzzy Logic algorithm was the highest in detection Probe attack. The two categories R2U and R2L attacks have been identified well by using an MARS, Fuzzy logic and Random Forest classifiers respectively.MARS getting higher accuracy in classification, while PART classification algorithm got less accuracy. OneR got the least training time, otherwise Fuzzy Logic algorithm and MLP algorithm got higher training time.

تعدين البيانات هي واحده من التقنيات الحديثه لتحليل البيانات الضخمه مثل بيانات KDD CUP 99 والمتخصصه في مجال اكتشاف الاختراقات. الهدف من البحث هو استعراض وتقييم لخوارزميات تعدين البيانات والتي تم تطبيقها على بيانات KDD CUP 99 لتصنيف الهجومات و قياس النتائج من ناحية الدقه والسرعه هذا من جانب، ومن جانب اخر اختيار افضل خوارزميه تصنيف مع هذه البيانات.اظهرت النتائج ان خوارزميات تعدين البيانات تتفاوت في اكتشاف الهجومات وتحديد صنفها. خوارزمية الغابات العشوائيه كانت صاحبة اعلى نسبة اكتشاف بالنسبه لهجومات الـ DOS بينما خوارزمية المنطق المضبب صنفت هجومات الــ Probe بنسبه عاليه. هجومات R2U و R2L تم تصنيفها بشكل جيد من قبل خوارزمية MARS، المنطق المضبب، و مصنف الاشجار العشوائيه على التوالي. خوارزمية MARS كانت صاحبة اعلى دقه في التصنيف بينما كانت خوارزمية PART رديئه جدا". خوارزمية ONER تم تدريبها باقل وقت بينما خوارزمية المنطق المضبب و خوارزمية MLP تدربت ببطئ.

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