Data Technologies and Applications: Volume 54 Issue 5

Subjects:

Table of contents

Incremental learning for text categorization using rough set boundary based optimized Support Vector Neural Network

N. Venkata Sailaja, L. Padmasree, N. Mangathayaru

Text mining has been used for various knowledge discovery based applications, and thus, a lot of research has been contributed towards it. Latest trending research in the text…

176

A novel dual-domain clustering algorithm for inhomogeneous spatial point event

Jie Zhu, Jing Yang, Shaoning Di, Jiazhu Zheng, Leying Zhang

The spatial and non-spatial attributes are the two important characteristics of a spatial point, which belong to the two different attribute domains in many Geographic Information…

Investigating the repurchase intention of Bitcoin: empirical evidence from China

Muhammad Athar Nadeem, Zhiying Liu, Abdul Hameed Pitafi, Amna Younis, Yi Xu

Cryptocurrencies, such as Bitcoin, generate innovative and fast exchanges without any physical form and facilitate online payments; thus, they may bring about revolutions of the…

Data science and its relationship to library and information science: a content analysis

Sirje Virkus, Emmanouel Garoufallou

The purpose of this paper is to present the results of a study exploring the emerging field of data science from the library and information science (LIS) perspective.

2759

Sequel movie revenue prediction model based on sentiment analysis

Ibrahim Said Ahmad, Azuraliza Abu Bakar, Mohd Ridzwan Yaakub, Mohammad Darwich

Sequel movies are very popular; however, there are limited studies on sequel movie revenue prediction. The purpose of this paper is to propose a sentiment analysis based model for…

Electrocardiogram stream level correlated patterns as features to classify heartbeats for arrhythmia prediction

Fuad Ali Mohammed Al-Yarimi, Nabil Mohammed Ali Munassar, Fahd N. Al-Wesabi

Digital computing and machine learning-driven predictive analysis in the diagnosis of non-communicable diseases are gaining significance. Globally many research studies are…

Embedding based learning for collection selection in federated search

Adamu Garba, Shah Khalid, Irfan Ullah, Shah Khusro, Diyawu Mumin

There have been many challenges in crawling deep web by search engines due to their proprietary nature or dynamic content. Distributed Information Retrieval (DIR) tries to solve…

Cover of Data Technologies and Applications

ISSN:

2514-9288

Online date, start – end:

2018

Copyright Holder:

Emerald Publishing Limited

Open Access:

hybrid

Editor:

  • Prof Miguel-Ángel Sicilia-Urban