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Abdul Rehman Khalid, Nsikak Owoh, Omair Uthmani, Moses Ashawa, Jude Osamor and John Adejoh
In the era of digital advancements, the escalation of credit card fraud necessitates the development of robust and efficient fraud detection systems. This paper delves into the application of machine learning models, specifically focusing on ensemble met...
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Abishek Manikandaraja, Peter Aaby and Nikolaos Pitropakis
Artificial intelligence and machine learning have become a necessary part of modern living along with the increased adoption of new computational devices. Because machine learning and artificial intelligence can detect malware better than traditional sig...
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Arvind Kumar Gangwar, Sandeep Kumar and Alok Mishra
The early and accurate prediction of defects helps in testing software and therefore leads to an overall higher-quality product. Due to drift in software defect data, prediction model performances may degrade over time. Very few earlier works have invest...
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Frederic Stahl, Thien Le, Atta Badii and Mohamed Medhat Gaber
This paper introduces a new and expressive algorithm for inducing descriptive rule-sets from streaming data in real-time in order to describe frequent patterns explicitly encoded in the stream. Data Stream Mining (DSM) is concerned with the automatic ana...
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Ghada Elkhawaga, Mervat Abuelkheir, Sherif I. Barakat, Alaa M. Riad and Manfred Reichert
Business processes evolve over time to adapt to changing business environments. This requires continuous monitoring of business processes to gain insights into whether they conform to the intended design or deviate from it. The situation when a business ...
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Were S, O., Miricho M, N., Maranga V, N.
Purpose of the Study: The purpose of this study review was to fill the literature gap into the customer quality control on restaurant food and beverage service, with the objective of identifying customer quality control methodologies within the hospitali...
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Umesh Kokate, Arvind Deshpande, Parikshit Mahalle and Pramod Patil
Data growth in today?s world is exponential, many applications generate huge amount of data streams at very high speed such as smart grids, sensor networks, video surveillance, financial systems, medical science data, web click streams, network data, etc...
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Ewa Osekowska, Henric Johnson, Bengt Carlsson
Pág. 1457 - 1476
Maritime traffic modeling serves the purpose of extracting human-readable information and discovering knowledge in the otherwise illegible mass of traffic data. The goal of this study is to examine the presence and character of fluctuations in maritime t...
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Takim Andriono,Abraham Abraham,L. David A.T.,Wong Foek Tjong
Pág. pp. 51 - 59
Recently, displacement-based seismic design concept is being developed. According to this concept, structures are designed based on a certain displacement target. This paper presents the application of the displacement-based design concept to reinforce...
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