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Database Issues in Knowledge Discovery and Data Mining

Chris Rainsford, John Roddick
1999 Australasian Journal of Information Systems  
The terms "Knowledge Discovery in Databases" and "Data Mining" have been adopted for a field of research dealing with the automatic discovery of knowledge impb'cit within databases.  ...  In recent years both the number and the size of organisational databases have increased rapidly.  ...  Another example of a tool for the discovery of causal relationships within medical data is the Program on the Surgical Control of the Hyperlipidemias (POSCH) Al project described by Long et al. (1991)  ... 
doi:10.3127/ajis.v6i2.310 fatcat:57zzkqzw2bdgndhjp5tumgicd4

Mutual Shaping between Technologies and Law: Memories of Norwegian e-Health Infrastructures

Anna Zaytseva, Margunn Aanestad, Sundeep Sahay, Sisse Finken
2016 Zenodo  
The dissertation also provides a computational systems approach, generated bottom up from qualitative data in application of the abstractions for their recursive improvement.  ...  The corresponding approach extensively exploits the properties of the narrative form of qualitative data for its parallel tagging, time-relevant visualization, meaning-based clustering and relationship  ...  in need of medical help.  ... 
doi:10.5281/zenodo.3474437 fatcat:p4nygtz7kfhqpa26lnyd7gmtua

A review of uncertainty quantification in deep learning: Techniques, applications and challenges

Moloud Abdar, Farhad Pourpanah, Sadiq Hussain, Dana Rezazadegan, Li Liu, Mohammad Ghavamzadeh, Paul Fieguth, Xiaochun Cao, Abbas Khosravi, U. Rajendra Acharya, Vladimir Makarenkov, Saeid Nahavandi
2021 Information Fusion  
Uncertainty quantification (UQ) methods play a pivotal role in reducing the impact of uncertainties during both optimization and decision making processes.  ...  They have been applied to solve a variety of real-world problems in science and engineering.  ...  Acknowledgment This work was partially supported by the Australian Research Council's Discovery Projects funding scheme (project DP190102181) and the Natural Sciences and Engineering Research Council of  ... 
doi:10.1016/j.inffus.2021.05.008 fatcat:yschhguyxbfntftj6jv4dgywxm

A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges [article]

Moloud Abdar, Farhad Pourpanah, Sadiq Hussain, Dana Rezazadegan, Li Liu, Mohammad Ghavamzadeh, Paul Fieguth, Xiaochun Cao, Abbas Khosravi, U Rajendra Acharya, Vladimir Makarenkov, Saeid Nahavandi
2021 arXiv   pre-print
It can be applied to solve a variety of real-world applications in science and engineering.  ...  This study reviews recent advances in UQ methods used in deep learning. Moreover, we also investigate the application of these methods in reinforcement learning (RL).  ...  of UQ in the area of AI assisted medical decision making.  ... 
arXiv:2011.06225v4 fatcat:wwnl7duqwbcqbavat225jkns5u

Abstracts DEGRO 2020

2020 Strahlentherapie und Onkologie (Print)  
The known relationships between factors influencing the success of pRCT of tumors of the head and neck region were implemented in a directed acyclic graph (DAG) as a causal model .  ...  Conclusions: Our data suggest a causal role of tumor hypoxia in the immunosuppressive phenotype of melanoma .  ...  In this study, we have performed a comprehensive analysis to investigate the multi-proteomics perspective functions of the relationship of Survivin with DNA-PKcs .  ... 
doi:10.1007/s00066-020-01620-0 pmid:32647916 fatcat:mskjl7zw35by7h2vr6mkrh6754

An Integrated Cybersecurity Risk Management (I-CSRM) Framework for Critical Infrastructure Protection

Halima Kure
Lastly, the thesis employs a case study to validate the proposed i-CSRM framework and i-CSRMT in terms of applicability.  ...  Risk management plays a vital role in tackling cyber threats within the Cyber-Physical System (CPS) for overall system resilience.  ...  a malicious Microsoft Word attachment and disguised as a medical report of his sick son.  ... 
doi:10.15123/uel.89ww3 fatcat:3w6q73sqy5dl7burfg2wnwli3m