IoT network slicing on virtual layers of homogeneous data for improved algorithm operation in smart buildings
With its strong coverage, low energy consumption, low cost and great connectivity, the
Internet of Things technology has become the key technology in smart cities. However, faced …
Internet of Things technology has become the key technology in smart cities. However, faced …
Low-rank kernel learning for graph-based clustering
Constructing the adjacency graph is fundamental to graph-based clustering. Graph learning
in kernel space has shown impressive performance on a number of benchmark data sets …
in kernel space has shown impressive performance on a number of benchmark data sets …
A text analytics approach for online retailing service improvement: Evidence from Twitter
NF Ibrahim, X Wang - Decision Support Systems, 2019 - Elsevier
The purpose of this study is to identify the customers' primary topics of concern regarding
online retail brands that are shared among Twitter users. This study collects tweets …
online retail brands that are shared among Twitter users. This study collects tweets …
Topic analysis of Road safety inspections using latent dirichlet allocation: A case study of roadside safety in Irish main roads
C Roque, JL Cardoso, T Connell, G Schermers… - Accident Analysis & …, 2019 - Elsevier
Abstract Under the Safe System framework, Road Authorities have a responsibility to deliver
inherently safe roads and streets. Addressing this problem depends on knowledge of the …
inherently safe roads and streets. Addressing this problem depends on knowledge of the …
View-based 3-D model retrieval: A benchmark
View-based 3-D model retrieval is one of the most important techniques in numerous
applications of computer vision. While many methods have been proposed in recent years …
applications of computer vision. While many methods have been proposed in recent years …
An efficient preprocessing method for supervised sentiment analysis by converting sentences to numerical vectors: a twitter case study
MK Sohrabi, F Hemmatian - Multimedia tools and applications, 2019 - Springer
Along with the significant growth of social media, individuals and companies are
increasingly receiving public opinions which direct their decisions. Opinion mining, which is …
increasingly receiving public opinions which direct their decisions. Opinion mining, which is …
Topic-based video analysis: A survey
Manual processing of a large volume of video data captured through closed-circuit television
is challenging due to various reasons. First, manual analysis is highly time-consuming …
is challenging due to various reasons. First, manual analysis is highly time-consuming …
Latent Semantic Indexing (LSI) and Hierarchical Dirichlet Process (HDP) Models on News Data
News has become a very important need in modern society. Almost every level of society
needs information such as news. Online news gets the attention of writers because there are …
needs information such as news. Online news gets the attention of writers because there are …
Graph partitioning and visualization in graph mining: a survey
SA Bhavsar, VH Patil, AH Patil - Multimedia tools and applications, 2022 - Springer
Graph mining is a process of obtaining one or more sub-graphs and has been a very
attractive research topic over the last two decades. It has found many practical applications …
attractive research topic over the last two decades. It has found many practical applications …
Detecting bursts in sentiment-aware topics from social media
Nowadays plenty of user-generated posts, eg, sina weibos, are published on the social
media. The posts contain the public's sentiments (ie, positive or negative) towards various …
media. The posts contain the public's sentiments (ie, positive or negative) towards various …