A survey on trust evaluation based on machine learning
Trust evaluation is the process of quantifying trust with attributes that influence trust. It faces
a number of severe issues such as lack of essential evaluation data, demand of big data …
a number of severe issues such as lack of essential evaluation data, demand of big data …
A survey on machine learning for data fusion
Data fusion is a prevalent way to deal with imperfect raw data for capturing reliable, valuable
and accurate information. Comparing with a range of classical probabilistic data fusion …
and accurate information. Comparing with a range of classical probabilistic data fusion …
A survey on classification techniques for opinion mining and sentiment analysis
Opinion mining is considered as a subfield of natural language processing, information
retrieval and text mining. Opinion mining is the process of extracting human thoughts and …
retrieval and text mining. Opinion mining is the process of extracting human thoughts and …
Data fusion for network intrusion detection: a review
G Li, Z Yan, Y Fu, H Chen - Security and Communication …, 2018 - Wiley Online Library
Rapid progress of networking technologies leads to an exponential growth in the number of
unauthorized or malicious network actions. As a component of defense‐in‐depth, Network …
unauthorized or malicious network actions. As a component of defense‐in‐depth, Network …
Ranking analysis for online customer reviews of products using opinion mining with clustering
Sites for web‐based shop** are winding up increasingly famous these days.
Organizations are anxious to think about their client purchasing conduct to build their item …
Organizations are anxious to think about their client purchasing conduct to build their item …
Investigating consumer preferences on product designs by analyzing opinions from social networks using evidential reasoning
CY Ng, KMY Law - Computers & Industrial Engineering, 2020 - Elsevier
The rapid growth of e-commerce and social networking sites has created various challenges
for the extraction of user-generated content (UGC). In the era of big data, customer opinions …
for the extraction of user-generated content (UGC). In the era of big data, customer opinions …
Aggregating customer review attributes for online reputation generation
A Benlahbib - IEEE Access, 2020 - ieeexplore.ieee.org
In this paper, we face the problem of generating reputation for movies, products, hotels,
restaurants and services by mining customer reviews expressed in natural language. To the …
restaurants and services by mining customer reviews expressed in natural language. To the …
[PDF][PDF] Deep Learning based Optimal Multimodal Fusion Framework for Intrusion Detection Systems for Healthcare Data.
PT Nguyen, VDB Huynh, KD Vo… - Computers …, 2021 - pdfs.semanticscholar.org
Data fusion is a multidisciplinary research area that involves different domains. It is used to
attain minimum detection error probability and maximum reliability with the help of data …
attain minimum detection error probability and maximum reliability with the help of data …
Cross-platform reputation generation system based on aspect-based sentiment analysis
The active growth of Internet-based applications such as social networks and e-commerce
websites leads people to generate a tremendous amount of opinions and reviews about …
websites leads people to generate a tremendous amount of opinions and reviews about …
Detecting opinion spams through supervised boosting approach
Product reviews are the individual's opinions, judgement or belief about a certain product or
service provided by certain companies. Such reviews serve as guides for these companies …
service provided by certain companies. Such reviews serve as guides for these companies …