Journals
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Journal of Data Mining, Knowledge Discovery, and Decision Support Systems
The Journal of Data Mining, Knowledge Discovery, and Decision Support Systems (JDMKD-DSS) is an authoritative platform for disseminating innovative research on extracting actionable insights from data and applying them to intelligent decision-making processes. The journal explores advanced techniques in data mining, machine learning, and statistical modeling, focusing on their application to complex real-world challenges in industries such as healthcare, finance, transportation, and e-commerce. A core focus of the journal is on the methodologies and algorithms that drive knowledge discovery from diverse datasets. Topics of interest include clustering, classification, association rule mining, anomaly detection, and graph mining. Papers that present novel hybrid approaches or optimize existing methods to handle large-scale, heterogeneous data are particularly welcome.
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Journal of Artificial Neural Networks and Deep Learning Applications
The Journal of Artificial Neural Networks and Deep Learning Applications (JANN-DLA) provides a comprehensive venue for publishing groundbreaking work in neural network architectures, deep learning methodologies, and their diverse applications across scientific, industrial, and societal domains. This journal is committed to advancing the field of artificial intelligence by highlighting innovative developments in computational models and their transformative impact. JANN-DLA emphasizes research on the design, optimization, and implementation of artificial neural networks and deep learning frameworks. Topics include convolutional neural networks, recurrent neural networks, generative adversarial networks, and transformer models. Submissions that introduce novel architectures, improve training efficiency, or address challenges such as overfitting and interpretability are strongly encouraged.
