Pattern Analysis and Intelligent Systems
Improve Spam Detection in the Internet Using Feature Selection based on the Metahuristic Algorithms

Abdulbaghi Ghaderzadeh; sahar Hosseinpanahi; Sarkhel Taher kareem

Volume 7, Issue 2 , May 2021, , Pages 115-125

Abstract
  Nowadays, spam is a major challenge regarding emails. Spam is a specific type of email that is sent to the network for malicious purposes. Spam plays an important role in stealing information and can include fake links to trick users. Machine learning and data mining techniques such as artificial neural ...  Read More

Pattern Analysis and Intelligent Systems
An Optimization-based Learning Black Widow Optimization Algorithm for Text Psychology

Ali Hosseinalipour; Farhad Soleimanian Gharehchopogh; mohammad masdari; ALi Khademi

Volume 7, Issue 1 , February 2021, , Pages 81-92

Abstract
  In recent years, social networks' growth has led to an increase in these networks' content. Therefore, text mining methods became important. As part of text mining, Sentiment analysis means finding the author's perspective on a particular topic. Social networks allow users to express their opinions and ...  Read More

Pattern Analysis and Intelligent Systems
A Novel Hybrid Approach for Email Spam Detection based on Scatter Search Algorithm and K-Nearest Neighbors

Samira Amjad; Farhad Soleimanian Gharehchopogh

Volume 5, Issue 3 , August 2019, , Pages 181-194

Abstract
  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 ...  Read More

Pattern Analysis and Intelligent Systems
A New Approach for Text Documents Classification with Invasive Weed Optimization and Naive Bayes Classifier

Saman Khalandi; Farhad Soleimanian Gharehchopogh

Volume 4, Issue 3 , August 2018, , Pages 167-184

Abstract
  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 ...  Read More

Pattern Analysis and Intelligent Systems
Improvement of effort estimation accuracy in software projects using a feature selection approach

Zahra Shahpar; Vahid Khatibi; Asma Tanavar; Rahil Sarikhani

Volume 2, Issue 4 , November 2016, , Pages 31-38

Abstract
  In recent years, utilization of feature selection techniques has become an essential requirement for processing and model construction in different scientific areas. In the field of software project effort estimation, the need to apply dimensionality reduction and feature selection methods has become ...  Read More

Pattern Analysis and Intelligent Systems
Improving the Operation of Text Categorization Systems with Selecting Proper Features Based on PSO-LA

Mozhgan Rahimirad; Mohammad Mosleh; Amir Masoud Rahmani

Volume 1, Issue 2 , May 2015, , Pages 1-8

Abstract
  With the explosive growth in amount of information, it is highly required to utilize tools and methods in order to search, filter and manage resources. One of the major problems in text classification relates to the high dimensional feature spaces. Therefore, the main goal of text classification is to ...  Read More