… search of existing community detection methods for node-attributed social networks. What is
… of them based on when and how they use and fuse network structure and attributes. We not …

… two different attributes for our data set. (2) E (T,X) = ∑ c ϵ X P c E ( c ) Also, the decision …
based deep learning classifier for better decision making with more datasets. Also, we can …

… process and its approaches. In section 4, we present existing link prediction applications
that focus on social networks such as anomaly detection, … basis for decision making, public …

… In this section, a case study of Amazon, the commerce social network, is … different categories
according to the type of duplicate review detected: duplicates from different user identifier …

… The tagging of CB and non-CB is made based on various attributes as mentioned in Table
1, which is a common trait used in online communication over social networks. The input …

… which data is collected from various sources such as social media, mobile data, medical
data and electronic medical record to identify the decision-making problem. These data should …

… malware analysis [5], social networks [6], multiclass statistical recognition [7], medical …
Fujita, “A multiple attribute decision making three-way model for intuitionistic fuzzy numbers,…

… the results for precise decision making. A recommendation system based on numerical …
We use various attributes for different purposes. For example, we utilize blood sugar, blood …

… This study focuses on an effective method to fill uncertain attribute values in attributed networks.
… attribute values, while nodes in different communities may have very different attribute …

… social networks. For this reason, we make the first attempt to jointly utilize multiple attentive
neural networks … attention-based neural network to model groups’ decisionmaking processes. …