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bsj-4906
Measuring Positive and Negative Association of Apriori Algorithm with Cosine Correlation Analysis
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This work aims to see the positive association rules and negative association rules in the Apriori algorithm by using cosine correlation analysis. The default and the modified Association Rule Mining algorithm are implemented against the mushroom database to find out the difference of the results. The experimental results showed that the modified Association Rule Mining algorithm could generate negative association rules. The addition of cosine correlation analysis returns a smaller amount of association rules than the amounts of the default Association Rule Mining algorithm. From the top ten association rules, it can be seen that there are different rules between the default and the modified Apriori algorithm. The difference of the obtained rules from positive association rules and negative association rules strengthens to each other with a pretty good confidence score.

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Publication Date
Thu Feb 15 2024
Journal Name
Evolving Systems
Boosted Aquila Arithmetic Optimization Algorithm for multi-level thresholding image segmentation
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Publication Date
Sat May 24 2025
Journal Name
Iraqi Journal For Computer Science And Mathematics
Intrusion Detection System for IoT Based on Modified Random Forest Algorithm
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An intrusion detection system (IDS) is key to having a comprehensive cybersecurity solution against any attack, and artificial intelligence techniques have been combined with all the features of the IoT to improve security. In response to this, in this research, an IDS technique driven by a modified random forest algorithm has been formulated to improve the system for IoT. To this end, the target is made as one-hot encoding, bootstrapping with less redundancy, adding a hybrid features selection method into the random forest algorithm, and modifying the ranking stage in the random forest algorithm. Furthermore, three datasets have been used in this research, IoTID20, UNSW-NB15, and IoT-23. The results are compared with the three datasets men

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Publication Date
Sun Feb 25 2024
Journal Name
Baghdad Science Journal
Facial Emotion Images Recognition Based On Binarized Genetic Algorithm-Random Forest
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Most recognition system of human facial emotions are assessed solely on accuracy, even if other performance criteria are also thought to be important in the evaluation process such as sensitivity, precision, F-measure, and G-mean. Moreover, the most common problem that must be resolved in face emotion recognition systems is the feature extraction methods, which is comparable to traditional manual feature extraction methods. This traditional method is not able to extract features efficiently. In other words, there are redundant amount of features which are considered not significant, which affect the classification performance. In this work, a new system to recognize human facial emotions from images is proposed. The HOG (Histograms of Or

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Publication Date
Tue Oct 16 2018
Journal Name
Springer Science And Business Media Llc
MOGSABAT: a metaheuristic hybrid algorithm for solving multi-objective optimisation problems
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Publication Date
Sun Sep 01 2013
Journal Name
Journal Of Economics And Administrative Sciences
Measurement of economic returns and environmental and social for green sector trade A prospective study in institutions of Basra to focus on the electricity sector
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        Environmental risk growing Become challenge "and a matter of controversy and concern to many of those concerned with environment, social, economic, and the same happens with the administrative rather than in isolation for this movement, as the issues of climate change Disturbed and troubled him, especially after what caused the risk of destruction, and irresponsibility , chaos, and the futility of resources, crops, fields,  nature and homes and reactors, and after what happened in Japan from the scourge of "Hurricane tsunami " and earthquakes successive accompanied him and what became of him by surprise catastrophic affected the economy and the univ

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Publication Date
Wed Aug 29 2018
Journal Name
Journal Of Engineering
Exergy Analysis of a Domestic Refrigerator
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An energy and exergy thermodynamic analysis using EES program was done for a domestic refrigerator working with R-134a using vapor compression refrigeration cycle. The analysis deals with the system component, i.e. compressor, condenser, evaporator and the expansion device. The analysis depends on the entropy generation minimization approach to improve the refrigerator performance by exploring the optimum design points. These design points were derived from three different theories governing the entropy generation minimization using exergy analyzing method. These theories were first applied to find the optimum balance between the hot inner condenser area and the cold inner evaporator area of the refrigerator and between

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Publication Date
Tue Aug 23 2022
Journal Name
مجله نسق
قياس البخل المعرفي لدى طالبات قسم رياض الاطفال
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هدف البحث الحالي إلى عامل البخل المعرفي الذي يعد من العوامل التي تعطل الأفراد سعي الى الادراك المتمثل بالبيئة المادية والمعرفية والعالم المحيط بهم فهو يجعل الأفراد لا يرغبون في بذل المزيد من الجهد والوقت في التفكير والتحليل مما يؤدي الي معوقات في الإدراك، فالبخل المعرفي هو اعتماد الفرد الاختصارات العقلية والاستدلالات العقلية السريعة للحفاظ على الموارد العقلية عند التعامل مع المهام التي تتطلب في المقام الا

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Publication Date
Thu Dec 01 2022
Journal Name
مجلة الاستاذ للعلوم الانسانية والاجتماعية
قياس الاجهاد التعلمي لدى طالبات قسم رياض الاطفال
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تعد ضغوط التعلم من المتغيرات المهمة في العملية التعليمية، وهي من أكثر المشكلات شيوعاً بين الطلبة في الجامعات والمراحل التعليمية الأخرى، وترتكز ضغوط التعلم على فكرة شعور الطلبة بالضغط أثناء الدراسة، وشعورهم بالتعب من الدراسة، ونفورهم وخوفهم وجمودهم عن إنجاز المهام الموكلة إليهم، وكلما طالت مدة التعرض لضغوط التعلم دون محاولة مواجهة أسبابها، كلما ظهرت تغيرات أكثر في الحالة النفسية والفسيولوجية للشخص. وقد جا

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Publication Date
Sun Jul 06 2014
Journal Name
Journal Of Educational And Psychological Researches
قياس سعة الذاكرة قصيرة المدى لدى اطفال الرياض
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The research aims to measure short-term memory capacity for the kindergarten children, the researcher has prepared measure short-term memory capacity test for (4-6  years) Consists of two parts, Auditory memory, consisting of (4) items And visual memory, consisting of (5) items. Selected sample (340) children from for the kindergarten children.

     To verify the skills validity adopted the skills, Researcher used indicators which are logical  validity , Through the items  experts' examining logically. and construction validity through som of the indicators which are the discriminatory power of the items.    In order to prospect the constancy the research

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Publication Date
Sun Apr 01 2007
Journal Name
Journal Of Educational And Psychological Researches
قياس السيطرة الدماغية لدى طلبة السادس للمرحلة الاعدادية
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-مشكلة البحث وأهمية الحاجة اليه:-

يمكن القول أن التقدم والتخلف قضيتان جذورهما فكرية تتمحوران حول استخدام المنهجية العلمية وليست التكنولوجيا عملاً خلافاً او مستحيلاً على أي شعب اذا اتيح له تربية العقل المنهجي أنه العقل الذي تعلم كيف يفكر . فالتكنولوجية : هي العملية الابداعية لمثل هذا العقل المنهجي وليس هذا العقل وليد المصادفة بل إن التربية أهم عوامل بنائه. فإذا ما أفادت التربية من هذه الحقيق

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