International Journal of Data Science and Analytics

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Graph-based feature extraction on object-centric event logs
International Journal of Data Science and Analytics - - Trang 1-17 - 2023
Alessandro Berti, Johannes Herforth, Mahnaz Sadat Qafari, Wil M. P. van der Aalst
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... hiện toàn bộ
A cost-based multi-layer network approach for the discovery of patient phenotypes
International Journal of Data Science and Analytics - - Trang 1-21 - 2023
Clara Puga, Uli Niemann, Winfried Schlee, Myra Spiliopoulou
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... hiện toàn bộ
Feature selection for spatially enhanced LBP: application to face recognition
International Journal of Data Science and Analytics - Tập 5 - Trang 11-18 - 2017
Abdelmalik Moujahid, Fadi Dornaika
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 ... hiện toàn bộ
A novel approach for ranking web documents based on query-optimized personalized pagerank
International Journal of Data Science and Analytics - - 2021
Rajendra Kumar Roul, Jajati Keshari Sahoo
Using semantic graphs to detect overlapping target events and story lines from newspaper articles
International Journal of Data Science and Analytics - Tập 5 - Trang 41-60 - 2017
Yifang Wei, Lisa Singh, David Buttler, Brian Gallagher
Event detection from text data is an active area of research. While the emphasis in the literature has been on event identification and labeling using a single data source, this work considers event and story line detection when using a large number of data sources. In this setting, it is natural for different events in the same domain, e.g., violence, sports, politics, to occur at the same time a... hiện toàn bộ
Modeling of laser-induced breakdown spectroscopic data analysis by an automatic classifier
International Journal of Data Science and Analytics - Tập 8 Số 2 - Trang 213-220 - 2019
Pokrajac, David D., Sivakumar, Poopalasingam, Markushin, Yuriy, Milovic, Daniela, Holness, Gary, Liu, Jinjie, Melikechi, Noureddine, Rana, Mukti
Laser-induced breakdown spectroscopy (LIBS) is a multi-elemental and real-time analytical technique with simultaneous detection of all the elements in any type of sample matrix including solid, liquid, gas, and aerosol. LIBS produces vast amount of data which contains information on elemental composition of the material among others. Classification and discrimination of spectra produced during the... hiện toàn bộ
Academic mobility from a big data perspective
International Journal of Data Science and Analytics - - Trang 1-14 - 2023
Laura Pollacci, Letizia Milli, Tuba Bircan, Giulio Rossetti
Understanding the careers and movements of highly skilled people plays an ever-increasing role in today’s global knowledge-based economy. Researchers and academics are sources of innovation and development for governments and institutions. Our study uses scientific-related data to track careers evolution and Researchers’ movements over time. To this end, we define the Yearly Degree of Collaboratio... hiện toàn bộ
An alternative data analytic approach to measure the univariate and multivariate skewness
International Journal of Data Science and Analytics - Tập 7 - Trang 1-16 - 2018
Ravindra Khattree, Manoj Bahuguna
We introduce a new measure of univariate skewness of a distribution or data based on quantiles and by using the concepts of even and odd functions. Based on this new measure, we then suggest an approach to define the multivariate skewness for the multivariate distributions and multidimensional data and accordingly suggest a measure for it. Using numerous data sets, we illustrate that Mardia’s meas... hiện toàn bộ
Introduction to the special issue on Data Science in Asia (with PAKDD’2017)
International Journal of Data Science and Analytics - Tập 6 - Trang 271-272 - 2018
Longbing Cao, Jae-Gil Lee, Xuemin Lin
Attenuated sentiment-aware sequential recommendation
International Journal of Data Science and Analytics - Tập 16 Số 2 - Trang 271-283 - 2023
Donglin Zhou, Zhihong Zhang, Yangxin Zheng, Zhenting Zou, Lin Zheng
Tổng số: 359   
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