Link prediction by analyzing common neighbors based subgraphs using convolutional neural network
K Ragunathan, K Selvarajah, Z Kobti - ECAI 2020, 2020 - ebooks.iospress.nl
Link prediction (LP) in social networks is to infer if a link is likely to be formed in the future.
Social networks (SN) are ubiquitous and have different types such as human interaction and …
Social networks (SN) are ubiquitous and have different types such as human interaction and …
Risk prediction of low temperature in Nanjing city based on grey weighted Markov model
Z Gong, C Chen, X Ge - Natural hazards, 2014 - Springer
In this research, we calculate the days whose temperature is less than or equal to− 5° C in a
year according to the data of the daily minimum temperature in Nanjing city (China) from …
year according to the data of the daily minimum temperature in Nanjing city (China) from …
A comparison of scoring metrics for predicting the next navigation step with markov model-based systems
The problem of predicting the next request during a user's navigation session has been
extensively studied. In this context, higher-order Markov models have been widely used to …
extensively studied. In this context, higher-order Markov models have been widely used to …
Convolutional Neural Network for Link Prediction Based on Subgraphs in Social Networks
K Ragunathan - 2020 - search.proquest.com
Link Prediction (LP) in social networks (SN) is referred to as predicting the likelihood of a link
formation in SNs in the near future. There are several types of SNs that are available such as …
formation in SNs in the near future. There are several types of SNs that are available such as …
[PDF][PDF] Preprocessing algorithm of prediction model for web caching and perfecting
Internet is boon in modern era, but sometimes people are unhappy while accessing web
pages in spite of proper bandwidth of internet connection. To solve above problem, present …
pages in spite of proper bandwidth of internet connection. To solve above problem, present …
Entwicklung eines Benutzermodells zur nutzeradaptiven Suche von Datensätzen
T Surber - 2021 - elib.dlr.de
Datenportale stellen eine große Menge an Datensätzen zur Verfügung. Das Finden des
gesuchten Datensatzes stellt dabei eine Herausforderung dar. Das Ziel dieser Arbeit ist es …
gesuchten Datensatzes stellt dabei eine Herausforderung dar. Das Ziel dieser Arbeit ist es …
Framework for simulating random clickstream data
M Abdoli, P Savory… - International Journal of …, 2012 - inderscienceonline.com
Improving e-store productivity requires well designed algorithms that are efficient in
modelling the online behaviour of customers. However, due to competitive pressures and …
modelling the online behaviour of customers. However, due to competitive pressures and …