International Journal of Data Science and Analytics
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Attention-like feature explanation for tabular data
International Journal of Data Science and Analytics - Tập 16 - Trang 1-26 - 2022
A new method for local and global explanation of the machine learning black-box model predictions by tabular data is proposed. It is implemented as a system called AFEX (Attention-like Feature EXplanation) and consisting of two main parts. The first part is a set of the one-feature neural subnetworks, which aim to get a specific representation for every feature in the form of a basis of shape func......
Learning attentive attribute-aware node embeddings in dynamic environments
International Journal of Data Science and Analytics - - Trang 1-13 - 2022
Learning node embeddings is fundamental for numerous applications, such as link prediction and node classification. Node embeddings seek to learn a low-dimensional representation for each node in the graph. Many existing node representation learning methods for dynamic attributed graphs focus on preserving the temporal proximity of the nodes with relatively shallow models. However, real-life graph......
Establishing FAIR (Findable, Accessible, Interoperable and Reusable) principles for estuarine organisms exposed to engineered nanomaterials
International Journal of Data Science and Analytics - Tập 16 - Trang 407-419 - 2023
After 20 years of assessing ecotoxicological risks of engineered nanomaterials, data gaps limit the efficacy of regulatory guidelines. Presently, there are efforts to compile historical data on nanomaterial research into online data platforms that follow FAIR (findable, accessible, interoperable, and reusable) principles. FAIR data practices for alternative testing strategies such as mesocosms are......
Lost in data: recognizing type of time series sensor data using signal pattern classificationAbstract With the increase in number and size of Internet of Things systems, there is an ever-growing risk of (meta)data loss, as well as the maintenance overhead to mitigate such risks. The experts recognize three main challenges in this area that need to be tackled, namely (1) downsizing the manual work required for configuring sensor networks, (2) recovering meta... ...
International Journal of Data Science and Analytics -
Probabilistic exact adaptive random forest for recurrent concepts in data streams
International Journal of Data Science and Analytics - Tập 13 - Trang 17-32 - 2021
In order to adapt random forests to the dynamic nature of data streams, the state-of-the-art technique discards trained trees and grows new trees when concept drifts are detected. This is particularly wasteful when recurrent patterns exist. In this work, we introduce a novel framework called PEARL, which uses both an exact technique and a probabilistic graphical model with Lossy Counting, to repla......
Predicting individual socioeconomic status from mobile phone data: a semi-supervised hypergraph-based factor graph approach
International Journal of Data Science and Analytics - Tập 9 - Trang 361-372 - 2019
Socioeconomic status (SES) is an important economic and social aspect widely concerned. Assessing individual SES can assist related organizations in making a variety of policy decisions. Traditional approach suffers from the extremely high cost in collecting large-scale SES-related survey data. With the ubiquity of smart phones, mobile phone data has become a novel data source for predicting indiv......
A generic all-purpose transformation for multivariate modeling through copulas
International Journal of Data Science and Analytics - Tập 10 - Trang 1-23 - 2019
Copulas have been used in various applications in biomedical sciences and finance. We suggest copulas as the generic all-purpose transformations which can enable one to apply various standard multivariate procedures more efficiently and with better statistical properties and results. More specifically, we consider the problem of transformation of any continuous data to multivariate normality using......
Graph-based feature extraction on object-centric event logs
International Journal of Data Science and Analytics - - Trang 1-17 - 2023
Process mining techniques have proven crucial in identifying performance and compliance issues. Traditional process mining, however, is primarily case-centric and does not fully capture the complexity of real-life information systems, leading to a growing interest in object-centric process mining. This paper presents a novel graph-based approach for feature extraction from object-centric event log......
A cost-based multi-layer network approach for the discovery of patient phenotypes
International Journal of Data Science and Analytics - - Trang 1-21 - 2023
Clinical records frequently include assessments of the characteristics of patients, which may include the completion of various questionnaires. These questionnaires provide a variety of perspectives on a patient’s current state of well-being. Not only is it critical to capture the heterogeneity given by these perspectives, but there is also a growing demand for developing cost-effective technologi......
Feature selection for spatially enhanced LBP: application to face recognition
International Journal of Data Science and Analytics - Tập 5 - Trang 11-18 - 2017
Block-based local binary patterns a.k.a. enhanced local binary patterns (ELBPs) have proven to be a highly discriminative descriptor for face recognition and image retrieval. Since this descriptor is mainly composed by histograms, little work (if any) has been done for selecting its relevant features (either the bins or the blocks). In this paper, we address feature selection for both the classic ......
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