Results 11 to 20 of about 243,501 (262)
Web + Data Mining = Web Mining [PDF]
Dieser Beitrag gibt eine kurze Beschreibung, was unter dem Begriff Web Mining zu verstehen ist und wie Webdaten mit gangigen Data-Mining-Techniken kombiniert werden konnen, um das Web besser als Informationsquelle nutzbar zu machen. Des Weiteren wird ein Uberblick uber die gangigen Hauptachsen gegeben, entlang derer die meisten aktuellen Entwicklungen ...
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In the last decade the usage and study of data mining and machine learning algorithms have received an increasing attention from several and heterogeneous fields of research. Learning how and why a certain algorithm returns a particular result, and understanding which are the main problems connected to its execution is a hot topic in the education of ...
Guidotti R., Monreale A., Rinzivillo S.
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Lithology recognition is an essential part of reservoir parameter prediction. Compared to conventional algorithms, deep learning that needs a large amount of training data as support can extract features automatically.
Guohe Li +4 more
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Crowd counting via Multi-Scale Adversarial Convolutional Neural Networks
The purpose of crowd counting is to estimate the number of pedestrians in crowd images. Crowd counting or density estimation is an extremely challenging task in computer vision, due to large scale variations and dense scene.
Zhu Liping +4 more
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Mining Views: Database Views for Data Mining [PDF]
We present a system towards the integration of data mining into relational databases. To this end, a relational database model is proposed, based on the so called virtual mining views. We show that several types of patterns and models over the data, such as itemsets, association rules and decision trees, can be represented and queried using a unifying ...
Blockeel, Hendrik +4 more
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Cultural heritage is closely linked with individual historical figures, who become a key focus for cultural tourism. Confucianism laid the foundation for much of Chinese civilization, and Confucius and Mencius have been studied extensively and have been ...
Zhanling Fan +2 more
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Passenger flow prediction is a critical approach to ensure the effective functioning of urban rail transit. However, there are few studies that combine multiple influencing factors for short-term passenger flow prediction.
Jun Yang +5 more
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A recently modern stochastic optimization algorithm has been developed by observing the life of slime mold physarum polycephalum in nature. The algorithm is called the slime mold algorithm (SMA) with an excellent exploratory capacity and exploitation ...
Trong-The Nguyen +5 more
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Data mining methods offer a powerful tool for psychologists to capture complex relations such as interaction and nonlinear effects without prior specification. However, interpreting and integrating information from data mining models can be challenging.
Maxwell Hong +2 more
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A Flame Detection Method Based on Novel Gradient Features
In this study, we present a novel approach to efficiently detect the flame in multiple scenes in an image. The method uses a set of parametric representation named as Gradient Features (GF), to learn the features of flame color changes in the image ...
Liping Zhu +5 more
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