International Conference on Computer and Knowledge Engineering

Home / 13th International Conference on Computer and Knowledge Engineering

TrackMine: Topic Tracking in Model Mining using Genetic Algorithm

Authors :

Mohammad Sajad Kasaei¹ Mohammadreza Sharbaf² Afsaneh Fatemi³ Bahman Zamani⁴

1- MDSE Research Group, Department of Software Engineering, University of Isfahan, Isfahan, Iran 2- MDSE Research Group, Department of Software Engineering, University of Isfahan, Isfahan, Iran 3- MDSE Research Group, Department of Software Engineering, University of Isfahan, Isfahan, Iran 4- MDSE Research Group, Department of Software Engineering, University of Isfahan, Isfahan, Iran

Keywords :

Model-Driven Engineering،Genetic Algorithm،Model Mining،Topic Tracking

Abstract :

With the advance of Model-Driven Engineering (MDE), number of generated models has grown exponentially. From the one hand, to provide support for software development using MDE, we need to store various models in the model repositories. From the other hand, extracting a particular model of interest from model repositories is a major challenge. One of the solutions is to use topic tracking in model mining. This provides a rapid and robust exploration that aligns well with the process of finding desired models in complex and large model repositories. In this paper, we propose TrackMine, a genetic algorithm based on topic tracking, to effectively sort the arrangement of models in a repository. This can help modelers realize the tracking, usage, and evolution of the models. TrackMine creates an optimized list of models by rearranging the order of models using user-defined similarity metrics. We demonstrate the applicability of our approach through a proof of concept implementation and evaluate the benefits of the presented algorithm using three different datasets. The experimental results demonstrate the practicality and suitability of our approach for model mining.

Papers List

List of archived papers

Object Detection on Detecting Skin Lesion using Dab-DETR

Sheida Shadman - Amirreza Rouhbakhshmeghrazi - Shayan Nalbandian - Bo Li - Shaghayegh Shadman - Malik Muhammad Owais Siddique

Synthetic Trajectory Sharing Indoors under Privacy Constraints

Mahdi Soltanpour - Vahideh Moghtadaiee - Mina Alishahi

Deep Learning Feature Extraction for COVID-19 Detection Algorithm using Computerized Tomography Scan

Maisarah Mohd Sufian - Ervin Gubin Moung - Chong Joon Hou - Ali Farzamnia

Using Deep Learning for Classification of Lung Cancer on CT Images in Ardabil Province

Mohammad Ali Javadzadeh Barzaki - Jafar Abdollahi - Mohammad Negaresh - Maryam Salimi - Hadi Zolfeghari - Mohsen Mohammadi - Asma Salmani - Rona Jannati - Firouz Amani

Improvement of CluStream Algorithm Using Sliding Window for the Clustering of Data Streams

Sahar Ahsani - Morteza Yousef Sanati - Muharram Mansoorizadeh

Identifying novel disease genes based on protein complexes and biological features

Mahshad Hashemi - Eghbal Mansoori

AVID: A VARIATIONAL INFERENCE DELIBERATION FOR META-LEARNING

Alireza Javaheri - Arsham Gholamzadeh Khoee - Saeed Reza Kheradpisheh - Hadi Farahani - Mohammad Ganjtabesh

A Systematic Embedded Software Design Flow for Robotic Applications

Navid Mahdian - Seyed-Hosein Attarzadeh-Niaki - Armin Salimi-Badr

Damage Detection After the Earthquake Using Sentinel-1 and 2 Images and Machine Learning Algorithms (Case Study: Sarpol-e Zahab Earthquake)

Niloofar Alizadeh - Behnam Asghari Beirami - Mehdi Mokhtarzade

An intelligent linguistic error detection approach to automated diagnosis of Dyslexia disorder in Persian speaking children

Fatemeh Asghari - Mahsa Khorasani - Mohsen Kahani - Seyed Amir Amin Yazdi - Mahdi Arkhodi Ghalenoei