A review of machine learning approaches to spam filtering
TS Guzella, WM Caminhas - Expert Systems with Applications, 2009 - Elsevier
In this paper, we present a comprehensive review of recent developments in the application
of machine learning algorithms to Spam filtering, focusing on both textual-and image-based …
of machine learning algorithms to Spam filtering, focusing on both textual-and image-based …
Exploring the disseminating behaviors of eWOM marketing: persuasion in online video
JK Hsieh, YC Hsieh, YC Tang - Electronic Commerce Research, 2012 - Springer
The effectiveness of electronic word-of-mouth (eWOM) communication has attracted
increasing attention from marketing practitioners, but relatively few studies focus on the …
increasing attention from marketing practitioners, but relatively few studies focus on the …
[HTML][HTML] Filtering big data from social media–Building an early warning system for adverse drug reactions
M Yang, M Kiang, W Shang - Journal of biomedical informatics, 2015 - Elsevier
Abstract Objectives Adverse drug reactions (ADRs) are believed to be a leading cause of
death in the world. Pharmacovigilance systems are aimed at early detection of ADRs. With …
death in the world. Pharmacovigilance systems are aimed at early detection of ADRs. With …
Spam filtering using integrated distribution-based balancing approach and regularized deep neural networks
A Barushka, P Hajek - Applied Intelligence, 2018 - Springer
Rapid growth in the volume of unsolicited and unwanted messages has inspired the
development of many anti-spam methods. Supervised anti-spam filters using machine …
development of many anti-spam methods. Supervised anti-spam filters using machine …
Predicting associated statutes for legal problems
YH Liu, YL Chen, WL Ho - Information Processing & Management, 2015 - Elsevier
Applying text mining techniques to legal issues has been an emerging research topic in
recent years. Although a few previous studies focused on assisting professionals in the …
recent years. Although a few previous studies focused on assisting professionals in the …
Spam filtering framework for multimodal mobile communication based on dendritic cell algorithm
ESM El-Alfy, AA AlHasan - Future Generation Computer Systems, 2016 - Elsevier
With the continual growth of mobile devices, they become a universal portable platform for
effective business and personal communication. They enable a plethora of textual …
effective business and personal communication. They enable a plethora of textual …
Using opcode sequences in single-class learning to detect unknown malware
Malware is any type of malicious code that has the potential to harm a computer or network.
The volume of malware is growing at a faster rate every year and poses a serious global …
The volume of malware is growing at a faster rate every year and poses a serious global …
The effects of individual innovativeness on users' adoption of Internet content filtering software and attitudes toward children's Internet use
CH Jin - Computers in Human Behavior, 2013 - Elsevier
The introduction of Internet content filtering software (ICFS) has led to intense debate among
civil liberties groups. This paper explores the relationship between membership in five …
civil liberties groups. This paper explores the relationship between membership in five …
A hybrid approach for efficient ensembles
D Zhu - Decision Support Systems, 2010 - Elsevier
An ensemble of classifiers, or a systematic combination of individual classifiers, often results
in better classifications in comparison to a single classifier. However, the question regarding …
in better classifications in comparison to a single classifier. However, the question regarding …
Automatic moderation of online discussion sites
Online discussion sites are plagued with various types of unwanted content, such as spam
and obscene or malicious messages. Prevention and detection-based techniques have …
and obscene or malicious messages. Prevention and detection-based techniques have …