Volume 13, Number 1, March 2022
Privacy and Confidentiality in Process Mining: Threats and Research Challenges.

Gamal Elkoumy Stephan A. Fahrenkrog-Petersen Mohammadreza Fani Sani Agnes Koschmider Felix Mannhardt Saskia Nuñez von Voigt Majid Rafiei Leopold von Waldthausen

Key Factors Affecting User Adoption of Open-Access Data Repositories in Intelligence and Security Informatics: An Affordance Perspective.

Bo Wen Paul Jen-Hwa Hu Mohammadreza Ebrahimi Hsinchun Chen

A New Approach for Mining Correlated Frequent Subgraphs.

Mohammad Ehsan Shahmi Chowdhury Chowdhury Farhan Ahmed Carson K. Leung

Distance Based Pattern Driven Mining for Outlier Detection in High Dimensional Big Dataset.

Ankit Kumar Abhishek Kumar Ali Kashif Bashir Mamoon Rashid V. D. Ambeth Kumar Rupak Kharel

Novel Machine Learning for Big Data Analytics in Intelligent Support Information Management Systems.

Zhihan Lv Ranran Lou Hailin Feng Dongliang Chen Haibin Lv

AI-Based Vehicular Network toward 6G and IoT: Deep Learning Approaches.

Mu-Yen Chen Min-Hsuan Fan Li-Xiang Huang

Cross-Modality Transfer Learning for Image-Text Information Management.

Shuteng Niu Yushan Jiang Bowen Chen Jian Wang Yongxin Liu Houbing Song

Mining High Utility Itemsets with Hill Climbing and Simulated Annealing.

M. Saqib Nawaz Philippe Fournier-Viger Unil Yun Youxi Wu Wei Song

TRG-DAtt: The Target Relational Graph and Double Attention Network Based Sentiment Analysis and Prediction for Supporting Decision Making.

Fan Chen Jiaoxiong Xia Honghao Gao Huahu Xu Wei Wei

DSSAE: Deep Stacked Sparse Autoencoder Analytical Model for COVID-19 Diagnosis by Fractional Fourier Entropy.

Shui-Hua Wang Xin Zhang Yu-Dong Zhang

Introduction to the Special Issue on Pattern-Driven Mining, Analytics, and Prediction for Decision Making, Part 1.

Jerry Chun-Wei Lin Nachiketa Sahoo Gautam Srivastava Weiping Ding