بدائل البحث:
experimental data » experimental _ (توسيع البحث)
mining algorithm » cosine algorithm (توسيع البحث)
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
element » elements (توسيع البحث)
experimental data » experimental _ (توسيع البحث)
mining algorithm » cosine algorithm (توسيع البحث)
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
element » elements (توسيع البحث)
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41
A Data-Driven Decision-Making Framework for Fleet Management in the Government Sector of Dubai
منشور في 2024"…The proposed framework comprises key elements: Important Decisions derived from interviews with transportation leaders, Knowledge Management enhanced by AI algorithms, Data Mining/Analysis utilizing historical data, the Fleet Management System employing Oracle ERP, and a Data-Driven Decision Support Framework that leans towards the extended framework approach. …"
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42
A genetic algorithm for corrective retesting. (c1995)
منشور في 1995احصل على النص الكامل
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masterThesis -
43
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44
Process Mining over Unordered Event Streams
منشور في 2020"…This requires online algorithms that, instead of keeping the whole history of event data, work incrementally and update analysis results upon the arrival of new events. …"
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45
Bird’s Eye View feature selection for high-dimensional data
منشور في 2023"…This approach is inspired by the natural world, where a bird searches for important features in a sparse dataset, similar to how a bird search for sustenance in a sprawling jungle. BEV incorporates elements of Evolutionary Algorithms with a Genetic Algorithm to maintain a population of top-performing agents, Dynamic Markov Chain to steer the movement of agents in the search space, and Reinforcement Learning to reward and penalize agents based on their progress. …"
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46
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47
UniBFS: A novel uniform-solution-driven binary feature selection algorithm for high-dimensional data
منشور في 2024"…<p>Feature selection (FS) is a crucial technique in machine learning and data mining, serving a variety of purposes such as simplifying model construction, facilitating knowledge discovery, improving computational efficiency, and reducing memory consumption. …"
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48
Improved search-tree algorithms for the cluster edit problem. (c2011)
منشور في 2011احصل على النص الكامل
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masterThesis -
49
An Effective Hash Based Assessment and Recovery Algorithm for Healthcare Systems
منشور في 2019"…We propose a new hash based technique that is capable of correctly assessing the damage and recovering the database within a suitable time frame and efficient utilization of memory. Finally, the experimental results prove the improvements provided by our hash based algorithm over previously suggested models.…"
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masterThesis -
50
A Hash-Based Assessment and Recovery Algorithm for Distributed Healthcare Systems Using Blockchain Technology
منشور في 2020"…The proposed algorithm is compared with different previous works and experimental results are recorded.…"
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masterThesis -
51
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52
Sentiment analysis for Arabizi in social media. (c2015)
منشور في 2015"…Yalla 7abibi, it is very useful to have a data mining tool that can analyze the sentiment of Twitter users in the Arab world. …"
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masterThesis -
53
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54
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55
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56
Simple and effective neural-free soft-cluster embeddings for item cold-start recommendations
منشور في 2022"…CIP can be used in conjunction with relevance ranking metrics like NDCG and MAP to measure the effectiveness of the cold-start recommendation algorithm.</p><h2>Other Information</h2> <p> Published in: Data Mining and Knowledge Discovery<br> License: <a href="https://creativecommons.org/licenses/by/4.0" target="_blank">https://creativecommons.org/licenses/by/4.0</a><br>See article on publisher's website: <a href="http://dx.doi.org/10.1007/s10618-020-00708-6" target="_blank">http://dx.doi.org/10.1007/s10618-020-00708-6</a></p>…"
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57
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58
Correlation Clustering with Overlaps
منشور في 2020"…In our experimental analysis, we study the efficiency of our algorithms as well as the effectiveness of allowing vertex splitting. …"
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masterThesis -
59
A Novel Genetic Algorithm Optimized Adversarial Attack in Federated Learning for Android-Based Mobile Systems
منشور في 2025"…<p dir="ltr">Federated Learning (FL) is gaining traction in Android-based consumer electronics, enabling collaborative model training across decentralized devices while preserving data privacy. However, the increasing adoption of FL in these devices exposes them to adversarial attacks that can compromise user data and device security. …"
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60