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The Important Prediction and Decision Market Link

Prediction Based Link Stability Analysis In Markov Decision Process

Prediction Based Link Stability Analysis In Markov Decision Process

... Wireless links and battery-operated nodes that require power-efficient operation. Several wireless routing protocols have been designed to provide communication in a wireless ad hoc environment. These routing protocols ...

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Link Prediction in Social Networks

Link Prediction in Social Networks

... A Social Structure consists of nodes(Individuals or Organizations) and nodes are connected by different types of relationships. A set of social actors or nodes(such as individuals or organizations) and a set of the ...

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Improved Link Prediction Using PCA

Improved Link Prediction Using PCA

... applied the classification using K nearest neighbour, Naive bayes (NB), SVM (support vector machine) and Decision Tree. In Table I and Figure 4, the accuracy of proposed approach using PCA has been compared with ...

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Link Prediction in Bipartite Nested Networks

Link Prediction in Bipartite Nested Networks

... for link prediction in nested networks can improve our understanding of at least two important classes of systems which typically exhibit a nested topology: World Trade Networks and ecological ...

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Link prediction in bipartite nested networks

Link prediction in bipartite nested networks

... for link prediction in nested networks can improve our understanding of at least two important classes of systems which typically exhibit a nested topology: World Trade Networks and ecological ...

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Link Prediction with Personalized Social Influence

Link Prediction with Personalized Social Influence

... Link prediction in social networks is to infer the new links likely to be formed next or to reconstruct the links that are currently ...missing. Link prediction is of great interest recently ...

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Nonparametric Network Models for Link Prediction

Nonparametric Network Models for Link Prediction

... The mixture of Dirichlet network distributions is an exchangeable model: It is invari- ant to permutations of the order in which we observe links. While this is computationally appealing and leads to a straightforward ...

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Link Prediction in Graphs with Autoregressive Features

Link Prediction in Graphs with Autoregressive Features

... of link prediction where it is assumed that only a part of the graph is actually observed, see the paper by Liben-Nowell and Kleinberg (2007) and Kolar and Xing ...

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An application of multicriteria decision aid models in the prediction of open market share repurchases

An application of multicriteria decision aid models in the prediction of open market share repurchases

... bankruptcy prediction and credit risk ...the decision maker by providing objective information that can be prove useful in an initial screening of the ...of decision makers as regards the selection ...

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A Decision Tree- Rough Set Hybrid System for Stock Market Trend Prediction

A Decision Tree- Rough Set Hybrid System for Stock Market Trend Prediction

... trend prediction system is also designed and ...based prediction system is designed and evaluated to showcase the improvement in accuracy that is brought about by the use of neural network based and the ...

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A Decision Tree for Weather Prediction

A Decision Tree for Weather Prediction

... And the third rule can be explained: If the month is not January (1) or February (2) or December (12) or April (4) then average_temp is in (25, 29) (4) interval. Beside this, Weka provides some complementary information ...

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MarketNews. Click on the link below to view updates: Dairy Market Link Produce Market Link. USDA Weekly Livestock, Poultry & Grain Market Highlights

MarketNews. Click on the link below to view updates: Dairy Market Link Produce Market Link. USDA Weekly Livestock, Poultry & Grain Market Highlights

... Rice Market Update BEAN MARKET UPDATE: On January 12th, the USDA released their crop production summary for the 2020 ...higher market prices to sell final positions of ...is important to note ...

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Research on the Influence of Network Motif on Link Prediction

Research on the Influence of Network Motif on Link Prediction

... the link prediction mostly based on network structure, the node information and so ...and link prediction we validated the existence of the motif via the Rand-ESU algorithm and found that it ...

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Link Prediction on Real and Synthetic Complex Networks

Link Prediction on Real and Synthetic Complex Networks

... The Lancichinetti-Fortunato-Radicchi (LFR) model [49], proposed in 2008, tries to correct the heterogeneity of both node degree and community size distributions typically displayed in real- world networks and not ...

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Link Prediction in Mobile Ad hoc Network

Link Prediction in Mobile Ad hoc Network

... is important to know how long a route will be ...for link prediction. Since, the exact distribution of link availability is unknown, we have applied Laplace ...causing link breaks ...

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Hadoop Based Link Prediction Performance Analysis

Hadoop Based Link Prediction Performance Analysis

... Abstract—Link prediction is an important problem in social network analysis and has been applied in a variety of ...fields. Link prediction aims to estimate the likelihood of the ...

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The Link between the Office Market and Labour Market in Germany

The Link between the Office Market and Labour Market in Germany

... The article has two key aims: Firstly, by conducting a panel data analysis the explanatory power of office employment is analysed and compared with other employment market indicators, like the unemployment rate. ...

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The Link between the Office Market and Labour Market in Germany

The Link between the Office Market and Labour Market in Germany

... office market is one of the most relevant markets for institutional investors like open-ended funds, insurances and pension ...in market conditions, like rents and vacancy rates, are therefore very ...

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Research on human factor accident based on link prediction

Research on human factor accident based on link prediction

... an important part of human factors reliability, playing a significant role in the man-machine systems reliability assessment and human factors prevention of ...introducing link prediction technology, ...

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ALPINE : Active Link Prediction using Network Embedding

ALPINE : Active Link Prediction using Network Embedding

... P (a kl = 0|X ), where P (a ij = 1|X) = g(x i , x j ) for a suitably defined g. Most NE methods treat node pairs with unknown status as unconnected. For example, in methods based on skip gram with negative sampling (e.g, ...

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