Results 31 to 40 of about 6,268 (249)
Mobile Forensics for Cyberbullying Detection using Term Frequency - Inverse Document Frequency (TF-IDF) [PDF]
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika, 2020 The case of cyberbullying in Indonesia was ranked third in the world in 2015 and as much as 91% was experienced by children [1]. RSA Anti Fraud Command Center (AFCC) report reports that in 2015 45% of transactions were carried out through mobile channels, while 61% of fraud occurred through mobile devices [2].
Imam Riadi +2 more
openaire +1 more source
Analyse de documents avec TF-IDF
The Programming Historian en Français, 2022 Cette leçon présente une méthode de traitement automatique des langues et de recherche d’informations nommée Term Frequency - Inverse Document Frequency (tf-idf).
Matthew J. Lavin
doaj +1 more source
Bayesian Sentiment Analytics for Emerging Trends in Unstructured Data Streams [PDF]
EAI Endorsed Transactions on Scalable Information Systems, 2019 Today the computational study of people’s opinion expressed in free form written text is called the field of sentiment analysis and opinion mining. Various research areas such as Natural Language Processing, Data Mining, Text Mining lie in field of ...
Najam Sahar +2 more
doaj +1 more source
Critical Care Explorations, 2021 OBJECTIVES:. To evaluate whether different approaches in note text preparation (known as preprocessing) can impact machine learning model performance in the case of mortality prediction ICU. DESIGN:.
Malini Mahendra, MD +5 more
doaj +1 more source
Applied Sciences, 2022 Vulnerability and attack information must be collected to assess the severity of vulnerabilities and prioritize countermeasures against cyberattacks quickly and accurately.
Kenta Kanakogi +8 more
doaj +1 more source
Binned Term Count: An Alternative to Term Frequency for Text Categorization
Mathematics, 2022 In text categorization, a well-known problem related to document length is that larger term counts in longer documents cause classification algorithms to become biased.
Farhan Shehzad +5 more
doaj +1 more source
Domain-Flux Botnet Detection Method with Fusion of Character and Word Dual-channel [PDF]
Jisuanji kexue, 2023 Domain-Flux is a technique for keeping a malicious botnet in operation by constantly changing the domain name of the botnet owner's command and control(C&C) server,which can effectively evade the detection of network security devices.Aming at the ...
LI Xiaodong, SONG Yuanfeng, LI Yuqiang
doaj +1 more source
Detection and Recognition of Atomic Evasions Against Network Intrusion Detection/Prevention Systems
IEEE Access, 2019 Network evasions can bypass network intrusion detection/prevention systems to deliver exploits, attacks, or malware to victims without being detected. This paper presents a novel method for the detection and recognition of atomic network evasions by the ...
Jia Jingping +4 more
doaj +1 more source
Algoritma Term Frequency – Inverse Document Frequency (TF-IDF) dan K-Means Clustering Untuk Menentukan Kategori Dokumen [PDF]
, 2022 The development of technology is speedy; one of the results is developing documents in research articles. Searching for documents in a repository will take a long time if they are not stored grouped by document category.
Arifin, Rizal +4 more
core
Journal of Physics: Conference Series, 2020 Abstract With the development of information technology, obtaining information quickly and accurately has become an indispensable part of people’s lives. Text classification can filter and organize massive text data to find valuable information, and its practical application is of great significance.
Tiantian Zhou, Yintong Wang, Xin Zheng
openaire +1 more source