Search Results - "Raahemi, Bijan"

Intelligent Fraud Detection in Financial Statements Using Machine Learning and Data Mining: A Systematic Literature Review by Ashtiani, Matin N., Raahemi, Bijan

“…Fraudulent financial statements (FFS) are the results of manipulating financial elements by overvaluing incomes, assets, sales, and profits while underrating…”
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Bio-Inspired Feature Selection Algorithms With Their Applications: A Systematic Literature Review by Pham, Tin H., Raahemi, Bijan

“…Based on the principles of the biological evolution of nature, bio-inspired algorithms are gaining popularity in developing robust techniques for optimization…”
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Multi-Layer Web Services Discovery Using Word Embedding and Clustering Techniques by J. Obidallah, Waeal, Raahemi, Bijan, Rashideh, Waleed

“…We propose a multi-layer data mining architecture for web services discovery using word embedding and clustering techniques to improve the web service…”
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Financial fraud detection using graph neural networks: A systematic review by Motie, Soroor, Raahemi, Bijan

“…Financial fraud is a persistent problem in the finance industry that may have severe consequences for individuals, businesses, and economies. Graph Neural…”
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News-based intelligent prediction of financial markets using text mining and machine learning: A systematic literature review by Ashtiani, Matin N., Raahemi, Bijan

“…Researchers and practitioners have attempted to predict the financial market by analyzing textual (e.g., news articles and social media) and numeric data…”
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Detecting financial restatements using data mining techniques by Dutta, Ila, Dutta, Shantanu, Raahemi, Bijan

“…•Both intentional and unintentional restatements may destroy shareholders value.•Financial restatements (intentional/unintentional) detection models are…”
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A dynamic feature selection and intelligent model serving for hybrid batch-stream processing by Pishgoo, Boshra, Azirani, Ahmad Akbari, Raahemi, Bijan

“…The increasing complexity of real-world applications, especially those related to the Internet of Things and cloud computing, highlights the importance of…”
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A hybrid distributed batch-stream processing approach for anomaly detection by Pishgoo, Boshra, Akbari Azirani, Ahmad, Raahemi, Bijan

“…Batch and stream processing are separately and efficiently applied in many applications. However, some newer data-driven applications such as the Internet of…”
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Incremental anomaly detection using two-layer cluster-based structure by Bigdeli, Elnaz, Mohammadi, Mahdi, Raahemi, Bijan, Matwin, Stan

“…Anomaly detection algorithms face several challenges, including processing speed, adapting to changes in dynamic environments, and dealing with noise in data…”
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Modeling the speed-based vessel schedule recovery problem using evolutionary multiobjective optimization by Cheraghchi, Fatemeh, Abualhaol, Ibrahim, Falcon, Rafael, Abielmona, Rami, Raahemi, Bijan, Petriu, Emil

“…•Model a speed-based VSRP (S-VSRP) as an MOO problem with two conflicting objectives: total delay and total financial loss.•Synthetically generate a set of…”
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A new density-based subspace selection method using mutual information for high dimensional outlier detection by Riahi-Madvar, Mahboobeh, Akbari Azirani, Ahmad, Nasersharif, Babak, Raahemi, Bijan

“…Outlier detection in high dimensional data faces the challenge of curse of dimensionality, where irrelevant features may prevent detection of outliers. In this…”
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Subspace-based outlier detection using linear programming and heuristic techniques by Riahi-Madvar, Mahboobeh, Akbari Azirani, Ahmad, Nasersharif, Babak, Raahemi, Bijan

“…A useful strategy to perform outlier detection (OD) in highdimensional data, especially in the presence of multiple classes of outliers, is to decompose the…”
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Knowledge sharing in dynamic virtual enterprises: A socio-technological perspective by Liu, Pingfeng, Raahemi, Bijan, Benyoucef, Morad

“…The success of a virtual enterprise depends largely on the effective collaboration of its members in orchestrating their knowledge, skills, core competences…”
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Data mining EEG signals in depression for their diagnostic value by Mohammadi, Mahdi, Al-Azab, Fadwa, Raahemi, Bijan, Richards, Gregory, Jaworska, Natalia, Smith, Dylan, de la Salle, Sara, Blier, Pierre, Knott, Verner

“…Quantitative electroencephalogram (EEG) is one neuroimaging technique that has been shown to differentiate patients with major depressive disorder (MDD) and…”
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A fast and noise resilient cluster-based anomaly detection by Bigdeli, Elnaz, Mohammadi, Mahdi, Raahemi, Bijan, Matwin, Stan

“…Clustering, while systematically applied in anomaly detection, has a direct impact on the accuracy of the detection methods. Existing cluster-based anomaly…”
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Improving linear discriminant analysis with artificial immune system-based evolutionary algorithms by Mohammadi, Mehdi, Raahemi, Bijan, Akbari, Ahmad, Nassersharif, Babak, Moeinzadeh, Hossein

“…Mapping techniques based on the linear discriminant analysis face challenges when the class distribution is not Gaussian. While using evolutionary algorithms…”
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Analysis of Quality of Services in LTE and Mobile WiMAX by Roodaki, Maryam, Raahemifar, Kaamran, Raahemi, Bijan

“…Third Generation Partnership Project Long Term Evolution (3GPP LTE) and Worldwide Interoperability for Microwave Access (WiMAX) face challenges in providing…”
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Classifying peer-to-peer applications using imbalanced concept-adapting very fast decision tree on IP data stream by Zhong, Weicai, Raahemi, Bijan, Liu, Jing

“…Peer-to-Peer (P2P) applications generate streaming data in large volumes, where new communities of peers regularly attend and existing communities of peers…”
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Genetic-based minimum classification error mapping for accurate identifying Peer-to-Peer applications in the internet traffic by Mohammadi, Mehdi, Raahemi, Bijan, Akbari, Ahmad, Moeinzadeh, Hossein, Nasersharif, Babak

“…► In this study, a hybrid approach using genetic algorithm and neural networks to classify Peer-to-Peer traffic is proposed. ► We first compute the minimum…”
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Feature engineering for detection of Denial of Service attacks in session initiation protocol by Asgharian, Hassan, Akbari, Ahmad, Raahemi, Bijan

“…The Session Initiation Protocol (SIP) is a text‐based protocol, which defines the messaging between the SIP entities to establish, maintain, and terminate a…”
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