Data Technologies and Applications: Volume 56 Issue 4

Techniques to detect terrorists/extremists on the dark web: a review

Hanan Alghamdi, Ali Selamat

With the proliferation of terrorist/extremist websites on the World Wide Web, it has become progressively more crucial to detect and analyze the content on these websites…

Exploring the effectiveness of word embedding based deep learning model for improving email classification

Deepak Suresh Asudani, Naresh Kumar Nagwani, Pradeep Singh

Classifying emails as ham or spam based on their content is essential. Determining the semantic and syntactic meaning of words and putting them in a high-dimensional feature…

Modular framework for similarity-based dataset discovery using external knowledge

Martin Nečaský, Petr Škoda, David Bernhauer, Jakub Klímek, Tomáš Skopal

Semantic retrieval and discovery of datasets published as open data remains a challenging task. The datasets inherently originate in the globally distributed web jungle, lacking…

Social recruiting: an application of social network analysis for preselection of candidates

Stevan Milovanović, Zorica Bogdanović, Aleksandra Labus, Marijana Despotović-Zrakić, Svetlana Mitrović

The paper aims to studiy social recruiting for finding suitable candidates on social networks. The main goal is to develop a methodological approach that would enable preselection…

Dynamic Distributed and Parallel Machine Learning algorithms for big data mining processing

Laouni Djafri

This work can be used as a building block in other settings such as GPU, Map-Reduce, Spark or any other. Also, DDPML can be deployed on other distributed systems such as P2P…

Feature distillation and accumulated selection for automated fraudulent publisher classification from user click data of online advertising

Deepti Sisodia, Dilip Singh Sisodia

The problem of choosing the utmost useful features from hundreds of features from time-series user click data arises in online advertising toward fraudulent publisher's…

Artificial intelligence technologies for more flexible recommendation in uniforms

Chih-Hao Wen, Chih-Chan Cheng, Yuh-Chuan Shih

This research aims to collect human body variables via 2D images captured by digital cameras. Based on those human variables, the forecast and recommendation of the Digital…