بدائل البحث:
mining algorithm » cosine algorithm (توسيع البحث)
data scheduling » task scheduling (توسيع البحث), ahead scheduling (توسيع البحث)
event based » agent based (توسيع البحث)
mining algorithm » cosine algorithm (توسيع البحث)
data scheduling » task scheduling (توسيع البحث), ahead scheduling (توسيع البحث)
event based » agent based (توسيع البحث)
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2
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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احصل على النص الكامل
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3
Efficient Dynamic Cost Scheduling Algorithm for Data Batch Processing
منشور في 2016"…A Master of Science thesis in Engineering Systems Management by Alia Al Sadawi entitled, "Efficient Dynamic Cost Scheduling Algorithm for Data Batch Process," submitted in May 2016. …"
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doctoralThesis -
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5
Efficient Dynamic Cost Scheduling Algorithm for Financial Data Supply Chain
منشور في 2021"…An iterative dynamic scheduling algorithm (DCSDBP) was developed to address the data batching process. …"
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article -
6
Web Based Online Hybrid Teaching Method of Network Music Course
منشور في 2022الموضوعات: احصل على النص الكامل
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7
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8
Auto-indexing Arabic texts based on association rule data mining. (c2015)
منشور في 2015"…Our model denotes extracting new relevant words by relating those chosen by the previous classical methods, to new words using data mining rules. The model uses the Apriori Algorithm - an association rule algorithm for extracting frequent sets containing related items - to extract relations between words in the texts to be indexed with words from texts that belong to the same category. …"
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احصل على النص الكامل
masterThesis -
9
Predicting Dropouts among a Homogeneous Population using a Data Mining Approach
منشور في 2019الموضوعات: احصل على النص الكامل
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10
DG-Means – A Superior Greedy Algorithm for Clustering Distributed Data
منشور في 2022الموضوعات: "…Data mining…"
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احصل على النص الكامل
احصل على النص الكامل
masterThesis -
11
The Effects of Data Mining on Small Businesses in Dubai
منشور في 2011"…While there are numerous studies on the best data mining models and their uses, even on certain industries, this study focuses on the applications more than the algorithms and models and their usefulness for small businesses specifically. …"
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12
Mining airline data for CRM strategies. (c2006)
منشور في 2006احصل على النص الكامل
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masterThesis -
13
Application of Data Mining to Predict and Diagnose Diabetic Retinopathy
منشور في 2024احصل على النص الكامل
doctoralThesis -
14
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15
Exam scheduling algorithms. (c1999)
منشور في 1999احصل على النص الكامل
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masterThesis -
16
Stochastic Search Algorithms for Exam Scheduling
منشور في 2007"…Then, we empirically compare the three proposed algorithms and FESP using realistic data. Our experimental results show that SA and GA produce good exam schedules that are better than those of FESP heuristic procedure. …"
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article -
17
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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18
Three-phase approach for curriculum-based course timetabling problem. (c2012)
منشور في 2012الموضوعات: "…Scheduling -- Data processing…"
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احصل على النص الكامل
masterThesis -
19
Indexing Arabic texts using association rule data mining
منشور في 2019"…The model denotes extracting new relevant words by relating those chosen by previous classical methods to new words using data mining rules. Design/methodology/approach The proposed model uses an association rule algorithm for extracting frequent sets containing related items – to extract relationships between words in the texts to be indexed with words from texts that belong to the same category. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
article -
20
Data mining approach to predict student's selection of program majors
منشور في 2019"…The approach includes a methodology to manage data mining projects, sampling techniques to handle imbalanced data and multiclass data, a set of classification algorithms to predict and measures to evaluate performance of models. …"
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