An intelligent system for focused crawling from Big Data sources
Nowadays, the proper management of data is a key business enabler and booster for
companies, so as to increase their competitiveness. Typically, companies hold massive …
companies, so as to increase their competitiveness. Typically, companies hold massive …
An experimental study on re-ranking web shop search results using semantic segmentation of user profiles
B Poppink, F Frasincar, T Robal - Electronic Commerce Research and …, 2023 - Elsevier
Although purchasing online has become increasingly popular, finding suitable products in
Web shop environments still requires significant effort from users. This study proposes a …
Web shop environments still requires significant effort from users. This study proposes a …
Managing and Retrieving Bilingual Documents Using Artificial Intelligence‐Based Ontological Framework
AF Alothman, AR Wahab Sait - Computational Intelligence and …, 2022 - Wiley Online Library
In recent times, artificial intelligence (AI) methods have been applied in document and
content management to make decisions and improve the organization's functionalities …
content management to make decisions and improve the organization's functionalities …
Entropy, heterogeneity, and their impact on technology progress
W Hur - Journal of Informetrics, 2024 - Elsevier
This study seeks to determine whether the entropy of patent assignees and the
heterogeneity of patented technology within a technology domain positively contribute to the …
heterogeneity of patented technology within a technology domain positively contribute to the …
Strong approximate Markov blanket and its application on filter-based feature selection
Z Hua, J Zhou, Y Hua, W Zhang - Applied Soft Computing, 2020 - Elsevier
In feature selection problems, strong relevant features may be misjudged as redundant by
the approximate Markov blanket. To avoid this, a new concept called strong approximate …
the approximate Markov blanket. To avoid this, a new concept called strong approximate …
Influence difference main path analysis: Evidence from DNA and blockchain domain citation networks
D Yu, L Sheng - Journal of Informetrics, 2021 - Elsevier
Main path analysis is a useful tool to form the backbone of a citation network by linking
important connections, which has been widely used to track the knowledge diffusion paths in …
important connections, which has been widely used to track the knowledge diffusion paths in …
A semantic matching approach addressing multidimensional representations for web service discovery
Z Huang, W Zhao - Expert Systems with Applications, 2022 - Elsevier
In recent years, discovering appropriate web services has become increasingly difficult as
the number of services has grown rapidly. With the goal of improving discovery performance …
the number of services has grown rapidly. With the goal of improving discovery performance …
Automatic data matching for geospatial models: a new paradigm for geospatial data and models sharing
Y Zhu, J Yang - Annals of GIS, 2019 - Taylor & Francis
With the development of global climate and environmental research, geospatial models are
becoming more comprehensive and complex and, therefore require more and more input …
becoming more comprehensive and complex and, therefore require more and more input …
SCGRNs: Novel supervised inference of single-cell gene regulatory networks of complex diseases
T Turki, YH Taguchi - Computers in biology and medicine, 2020 - Elsevier
Single-cell gene regulatory network (SCGRN) inference refers to the process of inferring
gene regulatory networks from single-cell data, which are generated via single-cell RNA …
gene regulatory networks from single-cell data, which are generated via single-cell RNA …
Maximum Information Coefficient Feature Selection Method for Interval-Valued Data
X Qi, J Song, H Qi, Y Shi - IEEE Access, 2024 - ieeexplore.ieee.org
The feature selection for interval-valued data (IVD) aims to identify representative features
from a large set of features, which can reduce the model complexity, minimize the training …
from a large set of features, which can reduce the model complexity, minimize the training …