F. Soleimanian Gharehchopogh
Department of Computer Engineering, Urmia Branch, Islamic Azad University, Urmia, Iran.
[ 1 ] - A New Hybrid model of Multi-layer Perceptron Artificial Neural Network and Genetic Algorithms in Web Design Management Based on CMS
The size and complexity of websites have grown significantly during recent years. In line with this growth, the need to maintain most of the resources has been intensified. Content Management Systems (CMSs) are software that was presented in accordance with increased demands of users. With the advent of Content Management Systems, factors such as: domains, predesigned module’s development, grap...
[ 2 ] - Software Cost Estimation by a New Hybrid Model of Particle Swarm Optimization and K-Nearest Neighbor Algorithms
A successful software should be finalized with determined and predetermined cost and time. Software is a production which its approximate cost is expert workforce and professionals. The most important and approximate software cost estimation (SCE) is related to the trained workforce. Creative nature of software projects and its abstract nature make extremely cost and time of projects difficult ...
[ 3 ] - An Improved K-Nearest Neighbor with Crow Search Algorithm for Feature Selection in Text Documents Classification
The Internet provides easy access to a kind of library resources. However, classification of documents from a large amount of data is still an issue and demands time and energy to find certain documents. Classification of similar documents in specific classes of data can reduce the time for searching the required data, particularly text documents. This is further facilitated by using Artificial...
[ 4 ] - An Improved Flower Pollination Algorithm with AdaBoost Algorithm for Feature Selection in Text Documents Classification
In recent years, production of text documents has seen an exponential growth, which is the reason why their proper classification seems necessary for better access. One of the main problems of classifying text documents is working in high-dimensional feature space. Feature Selection (FS) is one of the ways to reduce the number of text attributes. So, working with a great bulk of the feature spa...
[ 5 ] - A New Approach for Text Documents Classification with Invasive Weed Optimization and Naive Bayes Classifier
With the fast increase of the documents, using Text Document Classification (TDC) methods has become a crucial matter. This paper presented a hybrid model of Invasive Weed Optimization (IWO) and Naive Bayes (NB) classifier (IWO-NB) for Feature Selection (FS) in order to reduce the big size of features space in TDC. TDC includes different actions such as text processing, feature extraction, form...
[ 6 ] - تعیین پارامترهای منطق فازی با بکارگیری الگوریتم ژنتیک برای تشخیص بیماری کبد
مقدمه: بیماری کبد یکی از شایع‌ترین مشکلات مزمن کبدی و سیروز میباشد. مشکلات کبدی شامل طیف وسیعی از بیماری‌ها و نارسایی‌‌هایی هستند که به بافت کبد یا عملکرد آن آسیب می‌رسانند. تشخیص زودهنگام و درمان این بیماری می‌تواند مرگ‌و‌میر و درجه بیماری را کاهش دهد. روش: این مطالعه از نوع توصیفی-تحلیلی است. پایگاه داده آن شامل 583 رکورد مستقل شامل 11 ویژگی موجود در پایگاه داده یادگیری ماشین UCI میباشد. در...
[ 7 ] - تعیین پارامترهای منطق فازی با بکارگیری الگوریتم ژنتیک برای تشخیص بیماری کبد
مقدمه: بیماری کبد یکی از شایع‌ترین مشکلات مزمن کبدی و سیروز میباشد. مشکلات کبدی شامل طیف وسیعی از بیماری‌ها و نارسایی‌‌هایی هستند که به بافت کبد یا عملکرد آن آسیب می‌رسانند. تشخیص زودهنگام و درمان این بیماری می‌تواند مرگ‌و‌میر و درجه بیماری را کاهش دهد. روش: این مطالعه از نوع توصیفی-تحلیلی است. پایگاه داده آن شامل 583 رکورد مستقل شامل 11 ویژگی موجود در پایگاه داده یادگیری ماشین UCI میباشد. در...
[ 8 ] - ارائه‌ی مدلی بر مبنای درخت تصمیم فازی جهت تشخیص مزاج در طب سنتی ایرانی
این مقاله فاقد چکیده میباشد.
[ 9 ] - A Decision Support System for Diagnosis of Diabetes and Hepatitis, based on the Combination of Particle Swarm Optimization and Firefly Algorithm
Introduction: Clinical Decision Support Systems (CDSS) are designed in the form of computer programs that help medical professionals make decisions about disease diagnosis. The main aim of these systems is to assist physicians in diagnosing diseases, in other words, a physician can interact with the system and use them to analyze patient data, diagnose diseases, and other medical activities. Me...
[ 10 ] - A Novel Hybrid Approach for Email Spam Detection based on Scatter Search Algorithm and K-Nearest Neighbors
Because cyberspace and Internet predominate in the life of users, in addition to business opportunities and time reductions, threats like information theft, penetration into systems, etc. are included in the field of hardware and software. Security is the top priority to prevent a cyber-attack that users should initially be detecting the type of attacks because virtual environments are not moni...
[ 11 ] - An Improved K-Nearest Neighbor with Crow Search Algorithm for Feature Selection in Text Documents Classification
The Internet provides easy access to a kind of library resources. However, classification of documents from a large amount of data is still an issue and demands time and energy to find certain documents. Classification of similar documents in specific classes of data can reduce the time for searching the required data, particularly text documents. This is further facilitated by using Artificial...
[ 12 ] - An Improved Flower Pollination Algorithm with AdaBoost Algorithm for Feature Selection in Text Documents Classification
In recent years, production of text documents has seen an exponential growth, which is the reason why their proper classification seems necessary for better access. One of the main problems of classifying text documents is working in high-dimensional feature space. Feature Selection (FS) is one of the ways to reduce the number of text attributes. So, working with a great bulk of the feature spa...
[ 13 ] - A New Approach to Software Cost Estimation by Improving Genetic Algorithm with Bat Algorithm
Because of the low accuracy of estimation and uncertainty of the techniques used in the past to Software Cost Estimation (SCE), software producers face a high risk in practice with regards to software projects and they often fail in such projects. Thus, SCE as a complex issue in software engineering requires new solutions, and researchers make an effort to make use of Meta-heuristic algorithms ...
[ 14 ] - A Decision Support System for Diagnosis of Diabetes and Hepatitis, based on the Combination of Particle Swarm Optimization and Firefly Algorithm
Introduction: Clinical Decision Support Systems (CDSS) are designed in the form of computer programs that help medical professionals make decisions about disease diagnosis. The main aim of these systems is to assist physicians in diagnosing diseases, in other words, a physician can interact with the system and use them to analyze patient data, diagnose diseases, and other medical activities. Me...
[ 15 ] - A New Hybrid Method for Web Pages Ranking in Search Engines
There are many algorithms for optimizing the search engine results, ranking takes place according to one or more parameters such as; Backward Links, Forward Links, Content, click through rate and etc. The quality and performance of these algorithms depend on the listed parameters. The ranking is one of the most important components of the search engine that represents the degree of the vitality...
[ 16 ] - An Optimized Firefly Algorithm based on Cellular Learning Automata for Community Detection in Social Networks
The structure of the community is one of the important features of social networks. A community is a sub graph which nodes have a lot of connections to nodes of inside the community and have very few connections to nodes of outside the community. The objective of community detection is to separate groups or communities that are linked more closely. In fact, community detection is the clustering...
[ 17 ] - An Optimization K-Modes Clustering Algorithm with Elephant Herding Optimization Algorithm for Crime Clustering
The detection and prevention of crime, in the past few decades, required several years of research and analysis. However, today, thanks to smart systems based on data mining techniques, it is possible to detect and prevent crime in a considerably less time. Classification and clustering-based smart techniques can classify and cluster the crime-related samples. The most important factor in the c...
[ 18 ] - A Novel Approach to Feature Selection Using PageRank algorithm for Web Page Classification
In this paper, a novel filter-based approach is proposed using the PageRank algorithm to select the optimal subset of features as well as to compute their weights for web page classification. To evaluate the proposed approach multiple experiments are performed using accuracy score as the main criterion on four different datasets, namely WebKB, Reuters-R8, Reuters-R52, and 20NewsGroups. By analy...
[ 19 ] - بررسی میزان بهرهوری مدل فرآیند خدمات مددکاری و توانمندسازی با استفاده از تکنیکهای داده‌کاوی
فرآیند خدمات مددکاری و توانمندسازی در نهادهای حمایتی از جمله کمیته امداد امام خمینی(ره) جامع و گسترده است و با تحقیق، پذیرش و ارائه خدمات مددکاری برای نیازمندان شروع و بعد از حمایت هدفمند و زماندار، با آموزش و توانمندسازی مددجویان و خروج آنان از چتر حمایتی به پایان میرسد. از اینرو بهرهگیری از تکنیکهای نوین جهت بررسی میزان بهرهوری مدل پیادهسازی شده رورت دارد تا اهداف سازمانی از جمله اصلاح ...
[ 20 ] - Diagnosis of Heart Disease Using Binary Grasshopper Optimization Algorithm and K-Nearest Neighbors
Introduction: The heart is one of the main organs of the human body, and its unhealthiness is an important factor in human mortality. Heart disease may be asymptomatic, but medical tests can predict and diagnose it. Diagnosis of heart disease requires extensive experience of specialist physicians. The aim of this study is to help physicians diagnose heart disease based on hybrid Binary Grasshop...
[ 21 ] - An Improved Bat Algorithm with Grey Wolf Optimizer for Solving Continuous Optimization Problems
Metaheuristic algorithms are used to solve NP-hard optimization problems. These algorithms have two main components, i.e. exploration and exploitation, and try to strike a balance between exploration and exploitation to achieve the best possible near-optimal solution. The bat algorithm is one of the metaheuristic algorithms with poor exploration and exploitation. In this paper, exploration and ...
[ 22 ] - An improved opposition-based Crow Search Algorithm for Data Clustering
Data clustering is an ideal way of working with a huge amount of data and looking for a structure in the dataset. In other words, clustering is the classification of the same data; the similarity among the data in a cluster is maximum and the similarity among the data in the different clusters is minimal. The innovation of this paper is a clustering method based on the Crow Search Algorithm (CS...
[ 23 ] - An Improved K-Means with Artificial Bee Colony Algorithm for Clustering Crimes
Crime detection is one of the major issues in the field of criminology. In fact, criminology includes knowing the details of a crime and its intangible relations with the offender. In spite of the enormous amount of data on offenses and offenders, and the complex and intangible semantic relationships between this information, criminology has become one of the most important areas in the field o...
[ 24 ] - A New Model for Email Spam Detection using Hybrid of Magnetic Optimization Algorithm with Harmony Search Algorithm
Unfortunately, among internet services, users are faced with several unwanted messages that are not even related to their interests and scope, and they contain advertising or even malicious content. Spam email contains a huge collection of infected and malicious advertising emails that harms data destroying and stealing personal information for malicious purposes. In most cases, spam emails con...
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