بدائل البحث:
mining algorithm » cosine algorithm (توسيع البحث)
method algorithm » mould algorithm (توسيع البحث)
using algorithm » cosine algorithm (توسيع البحث)
element » elements (توسيع البحث)
mining algorithm » cosine algorithm (توسيع البحث)
method algorithm » mould algorithm (توسيع البحث)
using algorithm » cosine algorithm (توسيع البحث)
element » elements (توسيع البحث)
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1
Web Based Online Hybrid Teaching Method of Network Music Course
منشور في 2022"…Based on Web data mining, an improved algorithm of hybrid hierarchical recommendation algorithm and genetic algorithm is used in the experiment, and compared with the other two algorithms in the experiment. …"
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2
DG-Means – A Superior Greedy Algorithm for Clustering Distributed Data
منشور في 2022الموضوعات: "…Data mining…"
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masterThesis -
3
Use of Data Mining Techniques to Detect Fraud in Procurement Sector
منشور في 2022"…The method used in this research is a classification of models and algorithms used in data mining. …"
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4
Towards Scalable Process Mining Pipelines
منشور في 2023"…Contributions have covered the spectrum of better algorithms, richer comparison metrics, and movement towards online analysis for process data. …"
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7
Mining airline data for CRM strategies. (c2006)
منشور في 2006احصل على النص الكامل
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masterThesis -
8
Multilayer Reversible Data Hiding Based on the Difference Expansion Method Using Multilevel Thresholding of Host Images Based on the Slime Mould Algorithm
منشور في 2022"…Moreover, the image pixels in different and more similar areas of the image are located next to one another in a group and classified using the specified thresholds. As a result, the embedding capacity in each class can increase by reducing the value of the difference between two consecutive pixels, and the distortion of the marked image can decrease after inserting the personal data using the DE method. …"
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9
Customs Trade Facilitation and Compliance for Ecommerce using Blockchain and Data Mining
منشور في 2021"…An integrated web application is developed to mock up the end-to-end process in ecommerce. Additionally, the Cross Industry Standard Process for Data Mining (CRISP-DM) methodology is employed for modelling the two proposed clustering algorithms to identify transactional risks. …"
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10
Efficient Approximate Conformance Checking Using Trie Data Structures
منشور في 2021"…By encoding the proxy behavior using a trie data structure, we obtain a logarithmically reduced search space for alignment computation compared to a set-based representation. …"
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11
An enhanced k-means clustering algorithm for pattern discovery in healthcare data
منشور في 2015"…This paper studies data mining applications in healthcare. Mainly, we study k-means clustering algorithms on large datasets and present an enhancement to k-means clustering, which requires k or a lesser number of passes to a dataset. …"
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article -
12
Process Mining over Unordered Event Streams
منشور في 2020"…Using directly-follows graphs as a basic model for many process mining tasks, we provide two approaches to handle such unorderedness, either through buffering or speculative processing. …"
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13
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14
Using Educational Data Mining Techniques in Predicting Grade-4 students’ performance in TIMSS International Assessments in the UAE
منشور في 2018"…Classification is a Data Mining (DM) technique used for prediction. On the other hand, feature selection is the process of finding the best set of features that has the most impact on a specific target. …"
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15
Cryptocurrency Exchange Market Prediction and Analysis Using Data Mining and Artificial Intelligence
منشور في 2020"…One of the best algorithms in terms of the result is the Long Short Term Memory (LSTM) since it is based on recurrent neural networks which uses loop as a method to learn from heuristics data. …"
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16
Allocation and re-allocation of data in a grid using an adaptive genetic algorithm
منشور في 2006"…Allocation and re-allocation of data in a grid using an adaptive genetic algorithm. …"
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conferenceObject -
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19
Sentiment analysis for Arabizi in social media. (c2015)
منشور في 2015"…There are many applications for sentiment analysis and opinion mining in which governments or stock market observers use social media data to study the opinion of the public and predict election results or stock fluctuations. …"
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masterThesis -
20
Using Machine Learning Algorithms to Forecast Solar Energy Power Output
منشور في 2025"…We focused on the first 30-min, 3-h, 6-h, 12-h, and 24-h windows to gain an appreciation of the impact of forecasting duration on the accuracy of prediction using the selected machine learning algorithms. The study results show that Random Forest outperformed all other tested algorithms. …"