International Journal of Data Science and Analytics
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Sắp xếp:
Accelerated anti-lopsided algorithm for nonnegative least squares
International Journal of Data Science and Analytics - Tập 3 Số 1 - Trang 23-34 - 2017
Identity2Vec: learning mesoscopic structural identity representations via Poisson probability metric
International Journal of Data Science and Analytics - - 2023
Structural properties in a network have mostly been defined in terms of their microscopic level and macroscopic level. Many existing studies focus mainly on learning representations for vertices in similar local proximity such as the direct neighborhood (microscopic level), while some other studies describe the global network connectivity and characteristics (macroscopic level). It is, however, im...... hiện toàn bộ
FLICs (Facebook Language Informal Corpus): a novel dataset for informal language
International Journal of Data Science and Analytics - - Trang 1-11 - 2023
This article introduces FLICs, a novel dataset designed for modeling informal language. Predominantly composed of text in Malagasy and French, FLICs were collected from Facebook and cleansed using Python scraping techniques. The aim is to address the lack of linguistic diversity in existing datasets by offering over 800,000 informal texts, enabling an understanding of current linguistic trends in ...... hiện toàn bộ
Trans-AI/DS: transformative, transdisciplinary and translational artificial intelligence and data science
International Journal of Data Science and Analytics - Tập 15 - Trang 119-132 - 2023
After the many ups and downs over the past 70 years of AI and 50 years of data science (DS), AI/DS have migrated into their new age. This new-generation AI/DS build on the consilience and universology of science, technology and engineering. In particular, it synergizes AI and data science, inspiring Trans-AI/DS (i.e., Trans-AI, Trans-DS and their hybridization) thinking, vision, paradigms, approac...... hiện toàn bộ
GINN: gradient interpretable neural networks for visualizing financial texts
International Journal of Data Science and Analytics - Tập 9 - Trang 431-445 - 2018
This study aims to visualize financial documents in such a way that even nonexperts can understand the sentiments contained therein. To achieve this, we propose a novel text visualization method using an interpretable neural network (NN) architecture, called a gradient interpretable NN (GINN). A GINN can visualize a market sentiment score from an entire financial document and the sentiment gradien...... hiện toàn bộ
Discrete double factors of a family of odd Weibull-G distributions: features and modeling
International Journal of Data Science and Analytics - - Trang 1-24 - 2023
Recently, an increasing volume of complex bivariate data has been generated from diverse sources, particularly within applied sciences. These datasets demand a flexible probabilistic framework for comprehensive analysis and discussion of their characteristics. Consequently, this article introduces and extensively explores a novel bivariate discrete distribution. Various distributional properties, ...... hiện toàn bộ
An influence model for influence maximization–revenue optimization
International Journal of Data Science and Analytics - Tập 11 Số 2 - Trang 155-168 - 2021
The rise of online social networks (OSNs) has caused an insurmountable amount of interest from advertisers and researchers seeking to monopolize on its features. Researchers aim to develop strategies for propagating information among users within an OSN that is captured by diffusion or influence models. Within the last decade, influence models have been extensively studied for the influence maximi...... hiện toàn bộ
Clustering refinement
International Journal of Data Science and Analytics - Tập 12 - Trang 333-353 - 2021
Advanced validation of cluster analysis is expected to increase confidence and allow reliable implementations. In this work, we describe and test CluReAL, an algorithm for refining clustering irrespective of the method used in the first place. Moreover, we present ideograms that enable summarizing and properly interpreting problem spaces that have been clustered. The presented techniques are built...... hiện toàn bộ
Urban fire station location planning using predicted demand and service quality index
International Journal of Data Science and Analytics - Tập 15 - Trang 33-48 - 2022
In this article, we propose a systematic approach for fire station location planning. We develop machine learning models, based on Random Forest and Extreme Gradient Boosting, for demand prediction and utilize the models further to define a generalized index to measure quality of fire service in urban settings. Our model is built upon spatial data collected from multiple different sources. Efficac...... hiện toàn bộ
A novel unsupervised method for anomaly detection in time series based on statistical features for industrial predictive maintenance
International Journal of Data Science and Analytics - Tập 12 - Trang 383-404 - 2021
Industrial production processes are increasingly collecting data from machines in operation due to the cost reduction and popularization of sensor technologies. Valuable information is generated by using the right sensors and proper techniques on the machine’s current state in operation. This extraction allows detecting whether the machine is operating in a degraded state and then, if necessary, i...... hiện toàn bộ
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