Výsledky vyhledávání - "Adam G. M. Pazdor"

Explainable Artificial Intelligence for Data Science on Customer Churn

Autor: Adam G. M. Pazdor, Carson K. Leung, Joglas Souza

Publikováno v: DSAA

Machine learning, as a tool, has become critical for decision-making mechanisms in the modern world. It has applications in a wide range of areas, including finance, healthcare, justice, and transportation. Unfortunately, machine learning is often co

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::0111b70c92c9470f132415a74ee1db9e
https://doi.org/10.1109/dsaa53316.2021.9564166

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Scalable Mining of Big Data

Autor: Hao Zheng, Adam G. M. Pazdor, Carson K. Leung

Publikováno v: 2021 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/IOP/SCI).

Technological advancements have led to easy and rapid generation and collection of huge volumes of varieties of data from of wide ranges of rich data sources. These big data may be of different levels of veracity, including precise data and imprecise

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::bdc4e7512aff0637b66fa5f7ee384352
https://doi.org/10.1109/swc50871.2021.00041

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Distributed Big Data Computing for Supporting Predictive Analytics of Service Requests

Autor: James D. Harvey, Animesh Singh Chauhan, Tianlei Wang, Alfredo Cuzzocrea, Carson K. Leung, Adam G. M. Pazdor, Lihe Fan

Publikováno v: COMPSAC

In the current era of big data, huge volumes of valuable data can be easily generated and collected at a rapid velocity from a wide variety of rich data sources. In recent years, the initiates of open data also led to the willingness of many governme

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::8aefa8996a675537dde2f410aff6665c
https://doi.org/10.1109/compsac51774.2021.00257

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Spatial Data Science of COVID-19 Data

Autor: Siyuan Shang, Yubo Chen, Carson K. Leung, Adam G. M. Pazdor

Publikováno v: HPCC/DSS/SmartCity

Huge amounts of big data can be generated and collected from a wide variety of rich data sources. Embedded in these big data are useful information and valuable knowledge. An example is healthcare and epidemiological data such as data related to pati

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::5f50b1d369d67c201dc0990fec4358a7
https://doi.org/10.1109/hpcc-smartcity-dss50907.2020.00177

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Pattern Mining from big IoT Data with fog Computing: Models, Issues, and Research Perspectives

Autor: Peter Braun, Syed Khairuzzaman Tanbeer, Alfredo Cuzzocrea, Joglas Souza, Adam G. M. Pazdor, Carson K. Leung

Publikováno v: CCGRID

As we are living in the era of big data, huge volumes of a wide variety of complex data-which can be of different levels of veracity-are generated or collected at a high velocity from rich sources of data in various real-life applications. A rich sou

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::dfe1df0d53404c13782a97d0ca7fc6f3
https://doi.org/10.1109/ccgrid.2019.00075

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Mining Weighted Frequent Patterns from Uncertain Data Streams

Autor: Chowdhury Farhan Ahmed, Carson K. Leung, Jesan Ahammed Ovi, Adam G. M. Pazdor

Publikováno v: Advances in Intelligent Systems and Computing ISBN: 9783030190620
IMCOM

In recent years, data mining has become one of the most demanding areas of computer science. For instance, it helps to discover frequent patterns by applying intelligence tools, techniques and methodologies from various kinds of databases. However, w

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::816d3dd1187ed13975e69d3370acf7d4
https://doi.org/10.1007/978-3-030-19063-7_72

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