163,334 Hits in 4.2 sec

RMMDI: A Novel Framework for Role Mining Based on the Multi-Domain Information

Wei Bai, Zhisong Pan, Shize Guo, Zhe Chen
2019 Security and Communication Networks  
To extend the ability of role mining technology, this paper proposes a novel role mining framework based on multi-domain information.  ...  Role-based access control (RBAC) is widely adopted in network security management, and role mining technology has been extensively used to automatically generate user roles from datasets in a bottom-up  ...  It is proved that the framework is suitable for role mining. For the three scenarios used in the experiment, different users are assigned to different user roles.  ... 
doi:10.1155/2019/8085303 fatcat:qmto4k2n4famlfvbimhwzxjc5y

Mission-critical mobile broadband communications in open-pit mines

Luis G. Uzeda Garcia, Erika P. L. Almeida, Viviane S. B. Barbosa, George Caldwell, Ignacio Rodriguez, Hernani Lima, Troels B. Sørensen, Preben Mogensen
2016 IEEE Communications Magazine  
Acknowledgment The authors would like to thank the automation, telecommunications, mineral exploration cartography, and IT teams from Vale for their valuable inputs, and acknowledge the support granted  ...  Proof-of-concePt To illustrate the operation of the proposed framework, we consider a simplified static optimization case, for the example shown earlier.  ...  Furthermore, ray-tracing techniques could also play an important role in characterization and optimization of smaller areas, taking advantage of the mineralogy information contained in databases.  ... 
doi:10.1109/mcom.2016.7452267 fatcat:i6cvazxtzvh4zi3y4paqchdqqa

Maintenance Schedules of Mining HEMM Using an Optimization Framework Model

Niraj Ranjan Sharma, Hemant Agrawal, Arvind K Mishra
2019 Journal Europeen des Systemes Automatises  
This paper details the optimization framework model for managing the schedule of the movable mining equipment of open cast mines to improve the availability and productivity of the mining equipment.  ...  The enhanced framework is applied to multiple attributes which helps in deriving the maintenance schedules which in turn optimizes the usage of maintenance resources.  ...  To start with, every mining company frames an "Asset Management Policy" for HEMM.  ... 
doi:10.18280/jesa.520303 fatcat:oqcgbfsrxrbv7l3yubh3vbz3by

Special issue on selected papers from IEEE DMF 2008

Keith C. C. Chan, Xindong Wu
2010 Knowledge and Information Systems  
They cover the research areas in peer-to-peer networks, optimization-based data mining, graph clustering, and semi-supervised learning.  ...  For the Forum, we invited a select number of the world's leading experts in data mining from North America, Europe, Australia, and Asia to give invited talks and participate in panel discussions.  ...  We believe that this collection of contributions will play a key role in the future development of data mining research and applications.  ... 
doi:10.1007/s10115-010-0339-3 fatcat:amgowlo7vbhalfck32galynsrq

Migrating from DAC to RBAC [chapter]

Emre Uzun, David Lorenzi, Vijayalakshmi Atluri, Jaideep Vaidya, Shamik Sural
2015 Lecture Notes in Computer Science  
Role Based Access Control (RBAC) is one of the most popular means for enforcing access control.  ...  In this paper, we propose a decision support framework, which provides a basis for comparison among different potential RBAC derivations from DAC to determine the most desirable outcome with respect to  ...  Reference [23] proposes an approach that deals with scalability issues. Vaidya et al. propose the problem of deriving an optimal RBAC configuration from a UPA as the role mining problem.  ... 
doi:10.1007/978-3-319-20810-7_5 fatcat:zwwvgqp2crg5foyiu3642g7yqi

Mining Patterns from Complex Energy Dataset: A Case Study of Pakistan's Energy Sector

Muhammad Shaheen
2020 Journal of Engineering and Applied Sciences (JEAS) University of Engineering and Technology Peshawar  
Mining patterns from complex energy dataset: A case study of Pakistan's energy sector.  ...  Figure 4 : 4 Data mining framework for sustainable energy development.  ...  may perform in an optimal manner.  ... 
doi:10.17582/journal.jeas/ fatcat:y6zcjhosgvh5vacqj5f432wmbu

Extending the application of PAS 55/ ISO 55 000 to mineral asset management

T. Tholana
2016 Journal of the Southern African Institute of Mining and Metallurgy  
An optimized mineral asset life-cycle also improves the health, safety, and environmental performance of an organization because the adoption of and compliance with a MAM framework will inherently involve  ...  These fundamental aspects apply well to mineral resources, justifying the need for adopting an asset management framework for mineral assets to ensure their optimum care and exploitation.  ... 
doi:10.17159/2411-9717/2016/v116n11a6 fatcat:tgeqmcw6rzashc73swskhmj2v4


2010 Issues in Information Systems  
With the use of Clinical Research Analytics (CRA), tools and techniques such as clinical research decision support systems (CRDSS), data mining, and ad hoc reporting can be used for research processes  ...  As EHR applications proliferate in academic partnered or affiliated healthcare systems, clinical researchers should engage in EHR initiatives and apply a Business Intelligence (BI) framework to optimize  ...  Further, clinical researchers can apply a Business Intelligence (BI) framework to create Clinical Research Intelligence (CLRI) frameworks to optimize the data collection and analytics.  ... 
doi:10.48009/1_iis_2010_372-376 fatcat:fzjzyd3s2fhktpozi2u3bkhvai

NEIMiner: nanomaterial environmental impact data miner

Xiong Liu, Tang, Harper, Jeffery Steevens, Roger Xu
2013 International Journal of Nanomedicine  
The model building layer provides an advanced analysis capability for NEI data.  ...  To address this critical need, we developed a model-driven, data mining system called NEIMiner, to study nanomaterial environmental impact (NEI).  ...  An earlier version of this paper was presented at the Institute of Electrical and Electronics Engineers (IEEE) Workshop on Nanoinformatics for Biomedicine, in conjunction with the 2012 IEEE International  ... 
doi:10.2147/ijn.s40974 pmid:24098076 pmcid:PMC3790276 fatcat:n5h3yrmotva7riwgnrm4pywvai


RK Dhuware, SR Pande, SJ Sharma
2018 International Journal of Advanced Research  
Overview of Knowledge Discovery and Data Mining:-KDD focuses on the overall process of knowledge discovery from large volumes of data, including the storage and accessing of such data, scaling of algorithms  ...  Neural Networks in Data Genetic Algorithm in Data Mining:- Genetic algorithm plays an important role in data mining technology,which is decided by its own characteristics and advantages.  ...  Hence for this proper approaches for combining the ANN and datamining technologies should be found to improve and optimize data mining technology.  ... 
doi:10.21474/ijar01/6834 fatcat:ez3i6rcihrgbjnkbpe7he6dbwq

An Adjusted Decision Support System through Data Mining and Multiple Criteria Decision Making

Shakiba Khademolqorani, Ali Zeinal Hamadani
2013 Procedia - Social and Behavioral Sciences  
In the other hand, Data Mining (DM) extends the possibilities for decision support by discovering patterns and relationships hidden in the data and therefore enabling an inductive approach to data analysis  ...  In this paper an approach is introduced to integrate the DSS with DM and MCDM methods.  ...  In this area, data mining has an important role to extract valuable information.  ... 
doi:10.1016/j.sbspro.2013.02.066 fatcat:hupwsov37rdgxnuj4azs2z44py

Privacy-Aware and Secure Decentralized Air Quality Monitoring

Michael Mrissa, Aleksandar Tošić, Niki Hrovatin, Sidra Aslam, Balázs Dávid, László Hajdu, Miklós Krész, Andrej Brodnik, Branko Kavšek
2022 Applied Sciences  
In this paper, we describe an integrated framework that features distributed storage, blockchain-based Role-based Access Control, onion routing, routing and sink placement optimization, and distributed  ...  However, several concerns need to be addressed related to data security and privacy, routing and sink placement optimization, protection from external monitoring, and distributed data mining.  ...  Acknowledgments : The authors acknowledge Marina Paldauf for her contribution to the development of the data mining part. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/app12042147 fatcat:cu3p7reijrcq7ptehdex4wkx3u

Introduction to Agent Mining Interaction and Integration [chapter]

Longbing Cao
2009 Data Mining and Multi-agent Integration  
This chapter presents an overall picture of agent mining from the perspective of positioning it as an emerging area.  ...  Data mining is increasingly widely tested in varying applications and domains, for instance, web mining and services, text mining, telecommunications, retail, governmental service, fraud, security, business  ...  Each Representative Agent invokes an Evolutionary Agent to search for an optimal Strategy Agent from a strategy class.  ... 
doi:10.1007/978-1-4419-0522-2_1 fatcat:4d4cx7wmvzgejnegoujwhrhs4u

An Innovative Maintenance Scheduling Framework for Preventive, Predictive Maintenance Using Ant Colony Optimization [chapter]

Abhishek Kaul
2022 The Application of Ant Colony Optimization [Working Title]  
This chapter describes an innovative maintenance scheduling framework in the context of optimizing schedules for preventive maintenance and predictive maintenance, with multiple constraints for optimized  ...  The fourth industrial revelation has brought exponential technologies in the area of digitization, internet of things (IOT), artificial intelligence (AI), and optimization which has helped mining companies  ...  11 An Innovative Maintenance Scheduling Framework for Preventive, Predictive Maintenance… DOI:  ... 
doi:10.5772/intechopen.103094 fatcat:kt7npf6r6nhelmnuwj72htu5de

Framework for Implementing Load Balancing Within Cluster in Underground Mining Environments

Namrutha U
2022 International Journal for Research in Applied Science and Engineering Technology  
Here we propose a framework for load balancing within clusters in the underground mine environment.  ...  Clustering of sensor nodes is an effective method to use the node energy optimally and prolong lifetime of such energy constrained wireless sensor networks.  ...  Clustering of sensor nodes is an effective method to use the node energy optimally and prolong lifetime of such energy constrained wireless sensor networks .Here we propose a framework for load balancing  ... 
doi:10.22214/ijraset.2022.44659 fatcat:mey3g5adabc6raul4akkedrtwi
« Previous Showing results 1 — 15 out of 163,334 results