Volume 12 (2024)
Volume 11 (2023)
Volume 10 (2022)
Volume 9 (2021)
Volume 8 (2020)
Volume 7 (2019)
Volume 6 (2018)
Volume 5 (2017)
Volume 4 (2016)
Volume 3 (2015)
Volume 2 (2014)
Volume 1 (2013)
D. Data
A Novel Combination of Segmentation, Ensemble Clustering and Genetic Algorithm for Clustering Time Series

Zahra Ghorbani; Ali Ghorbanian

Volume 12, Issue 2 , April 2024, , Pages 273-286

https://doi.org/10.22044/jadm.2024.14170.2526

Abstract
  Increasing the accuracy of time-series clustering while reducing execution time is a primary challenge in the field of time-series clustering. Researchers have recently applied approaches, such as the development of distance metrics and dimensionality reduction, to address this challenge. However, using ...  Read More

D. Data
Community Detection using a New Node Scoring and Synchronous Label Updating of Boundary Nodes in Social Networks

M. Zarezade; E. Nourani; Asgarali Bouyer

Volume 8, Issue 2 , April 2020, , Pages 201-212

https://doi.org/10.22044/jadm.2019.8768.2011

Abstract
  Community structure is vital to discover the important structures and potential property of complex networks. In recent years, the increasing quality of local community detection approaches has become a hot spot in the study of complex network due to the advantages of linear time complexity and applicable ...  Read More

D. Data
An Evolutionary Multi-objective Discretization based on Normalized Cut

M. Hajizadeh-Tahan; M. Ghasemzadeh

Volume 8, Issue 1 , January 2020, , Pages 25-37

https://doi.org/10.22044/jadm.2019.8507.1989

Abstract
  Learning models and related results depend on the quality of the input data. If raw data is not properly cleaned and structured, the results are tending to be incorrect. Therefore, discretization as one of the preprocessing techniques plays an important role in learning processes. The most important ...  Read More

D. Data
Prediction and Diagnosis of Diabetes Mellitus using a Water Wave Optimization Algorithm

S. Taherian Dehkordi; A. Khatibi Bardsiri; M. H. Zahedi

Volume 7, Issue 4 , November 2019, , Pages 617-630

https://doi.org/10.22044/jadm.2018.6446.1758

Abstract
  Data mining is an appropriate way to discover information and hidden patterns in large amounts of data, where the hidden patterns cannot be easily discovered in normal ways. One of the most interesting applications of data mining is the discovery of diseases and disease patterns through investigating ...  Read More

D. Data
Impact of Patients’ Gender on Parkinson’s disease using Classification Algorithms

M. Abdar; M. Zomorodi-Moghadam

Volume 6, Issue 2 , July 2018, , Pages 277-285

https://doi.org/10.22044/jadm.2017.4673.1555

Abstract
  In this paper the accuracy of two machine learning algorithms including SVM and Bayesian Network are investigated as two important algorithms in diagnosis of Parkinson’s disease. We use Parkinson's disease data in the University of California, Irvine (UCI). In order to optimize the SVM algorithm, ...  Read More