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Toward Mining of Temporal Roles [chapter]

Barsha Mitra, Shamik Sural, Vijayalakshmi Atluri, Jaideep Vaidya
2013 Lecture Notes in Computer Science  
First we formally define the Temporal Role Mining Problem (TRMP), and then show that the TRMP problem is NP-complete and present a heuristic approach for solving it.  ...  Existing role mining techniques, however, cannot be used to process the temporal element associated with roles in these models.  ...  This work is partially supported by the National Science Foundation under grant numbers CNS-0746943 and 1018414.  ... 
doi:10.1007/978-3-642-39256-6_5 fatcat:cweoqkgdybhmtoqi2mmyevor3m

Mining Hierarchical Temporal Roles with Multiple Metrics [article]

Scott D. Stoller, Thang Bui
2017 arXiv   pre-print
Temporal role-based access control (TRBAC) extends role-based access control to limit the times at which roles are enabled.  ...  Ours is the first TRBAC policy mining algorithm that produces hierarchical policies, and the first that optimizes weighted structural complexity or interpretability.  ...  We thank the authors of [8, 9] -Barsha Mitra, Shamik Sural, Vijayalakshmi Atluri, and Jaideep Vaidya-for sharing their code and datasets with us and helping us understand their work.  ... 
arXiv:1603.02640v7 fatcat:c6vxcxfezva7rikjkqct3segky

A Conceptual Model of Role Based Access Control Using Role Mining Algorithm

Nazirah Abd Hamid, Rabiah Ahmad, Siti Rahayu Selamat
2018 Indonesian Journal of Electrical Engineering and Computer Science  
However, to construct a concise, role-based access control system, a good role mining algorithm structure is needed therefore the objectives of this paper are firstly, to provide a general overview on  ...  phases that involved in designing and developing the algorithm and secondly, to introduce a conceptual model that constructed based on the analysis and this model represents a general process in role mining  ...  [22] The Generalized Temporal Role Mining Problem CR: creation of candidate role set by taking union of the sets of units, initial and generated roles RS & AP: iterative selection of a minimal  ... 
doi:10.11591/ijeecs.v12.i3.pp1394-1400 fatcat:atyzpbjufje2llddblqcijnvaq

COMPREHENSIVE STUDY OF APPLICATIONS OF SPATIO TEMPORAL DATA MINING IN GIS

Rajat Malik
2018 International Journal of Advanced Research in Computer Science  
In this paper we have discussed the spatio temporal dimension of data mining and its applications in field of Geographical Information Systems.  ...  The advancement in database and internet technology has led to large debris of data being collected. The process of extraction knowledge led to coining of new term called data mining.  ...  SPATIO TEMPORAL DATA MINING IN GIS The geographical data can solve many problems of present day if analyzed properly [13] .  ... 
doi:10.26483/ijarcs.v9i2.5686 fatcat:rcehwamzzng6rhqccost3upggy

Mining Spatio-Temporal Datasets: Relevance, Challenges and Current Research Directions [chapter]

M-Tahar Kechadi, Michela Bertolotto, Filomena Ferrucci, Sergio Di
2009 Data Mining and Knowledge Discovery in Real Life Applications  
The authors gratefully acknowledge this support. References Andrienko N., Andrienko G., and Gatalsky P., Exploratory Spatio-Temporal Visualization: an  ...  Acknowledgements Research presented in this paper was funded by a Strategic Research Cluster grant (07/SRC/I1168) by Science Foundation Ireland under the National Development Plan.  ...  Temporal data mining In general, temporal data mining techniques are designed for mining large sequential datasets.  ... 
doi:10.5772/6450 fatcat:2ecajvw3yzbbrennzcplgufcqi

Page 294 of American Anthropologist Vol. 110, Issue 3 [page]

2008 American Anthropologist  
scales (e.g., in generational terms), and the problem of relying on technological innovation rather than formulating social solutions to environmental problems.  ...  The experiences of the people exposed to pollution from the Ok Tedi mine suggest the need to think in al- ternative temporal scales, including the requirements of reproducing society (Weiner 1980) and  ... 

MBlab: Molecular Biodiversity Laboratory [chapter]

Corrado Loglisci, Annalisa Appice, Michelangelo Ceci, Donato Malerba, Floriana Esposito
2011 Communications in Computer and Information Science  
In this project we investigate this problem under different perspectives. Our contribution is the design of computational solutions for the analysis of biomedical documents and images.  ...  Technologies in available biomedical repositories do not yet provide adequate mechanisms to support the understanding and analysis of the stored content.  ...  This work is in partial fulfillment of the research objectives of the project MBlab DM19410 "Molecular Biodiversity Laboratory".  ... 
doi:10.1007/978-3-642-27302-5_18 fatcat:semakj3pm5d3xbn43rc672crti

Video Object Mining: Issues and Perspectives

Jonathan Weber, Sebastien Lefevre, Pierre Gancarski
2010 2010 IEEE Fourth International Conference on Semantic Computing  
Current video mining systems face the problem of the semantic gap (i.e., the difference between the semantic meaning of video contents and the digital information encoded within the video files).  ...  We think that the introduction of semantics during these steps can be ensured by user interaction. We then propose a generic framework to deal with video object mining.  ...  ACKNOWLEDGEMENTS This work has been supported by Ready Business System, Entzheim, France and the French National Association for Research and Technology (ANRT).  ... 
doi:10.1109/icsc.2010.71 dblp:conf/semco/WeberLG10 fatcat:ylrd66b72jfghpjn4sudvefifa

Mining Hierarchical Temporal Roles with Multiple Metrics [chapter]

Scott D. Stoller, Thang Bui
2016 Lecture Notes in Computer Science  
Temporal role-based access control (TRBAC) extends role-based access control to limit the times at which roles are enabled.  ...  Ours is the first TRBAC policy mining algorithm that produces hierarchical policies, and the first that optimizes weighted structural complexity or interpretability.  ...  We thank the authors of [7, 8] -Barsha Mitra, Shamik Sural, Vijayalakshmi Atluri, and Jaideep Vaidya-for sharing their code and datasets with us and helping us understand their work.  ... 
doi:10.1007/978-3-319-41483-6_6 fatcat:onke6nf36zg7nmpfebhogtb2iy

Mining hierarchical temporal roles with multiple metrics

Scott D. Stoller, Thang Bui
2017 Journal of Computer Security  
Temporal role-based access control (TRBAC) extends rolebased access control to limit the times at which roles are enabled.  ...  Ours is the first TRBAC policy mining algorithm that produces hierarchical policies, and the first that optimizes weighted structural complexity or interpretability.  ...  We thank the authors of [7] -Barsha Mitra, Shamik Sural, Vijayalakshmi Atluri, and Jaideep Vaidya-for sharing their code and datasets with us and helping us understand their work.  ... 
doi:10.3233/jcs-17989 fatcat:nsd4eccj35h3rgaboezyc6ng3i

Temporal Weighted Association Rule Mining for Classification

Purushottam Sharma, Kanak Saxena
2012 Journal of clean energy technologies  
In view of this, we propose an optimized Temporal Weighted Association Rule miner (abbreviatedly as TWARM) algorithm to perform the mining for these problems and we conduct the corresponding performance  ...  In TWARM (Temporal Weighted Association Rule Miner) the cumulative occurrence count of mining previous partitions is selectively carried over toward the generation of candidate itemsets for the subsequent  ...  In this regard, we propose a Temporal Weighted Association Rule miner (abbreviatedly as TWARM) algorithm to perform mining for this problem.  ... 
doi:10.7763/ijcte.2012.v4.585 fatcat:64w7txnbnrdx3gthr5kkmzvcoq

Efficient calendar based temporal association rule

Keshri Verma, O. P. Vyas
2005 SIGMOD record  
Our focus is to find effective time sensitive algorithm using H-struct called temporal H-mine, which takes the advantage of this data structure and dynamically adjusts links in the mining process [PHNTY01  ...  Associationship is an important component of data mining. In real world data the knowledge used for mining rule is almost time varying.  ...  The problem of Temporal Frequent mining is to find the complete set of item which frequently occurred in valid time interval, for a given support threshold.  ... 
doi:10.1145/1084805.1084818 fatcat:yr3clle4lvhpdejx4nmb7okz7q

AN INNOVATIVE IDEA TO DISCOVER THE TREND ON MULTI-DIMENSIONAL SPATIO-TEMPORAL DATASETS

N. Naga Saranya .
2014 International Journal of Research in Engineering and Technology  
From that, gain the depth knowledge of spatio-temporal recent research process to discover the trend.  ...  So this research offers an innovative idea to discover the trend on multi-dimensional spatio-temporal datasets. Here it briefly describes the scope and relevancy of spatiotemporal data.  ...  This research offers an innovative idea to discover the trend on multi-dimensional spatio-temporal datasets. Here it briefly describes the scope and relevancy of spatio-temporal data.  ... 
doi:10.15623/ijret.2014.0303046 fatcat:qoyuzflmbvfozgle4nmwkvl23q

Recent Trends and Research Issues in Video Association Mining

Vijayakumar, Nedunchezhian
2011 The International Journal of Multimedia & Its Applications  
The purpose of this paper is to provide general framework of mining the association rules from video database.  ...  Discovering association rules between items in a large video database plays a considerable role in the video data mining research areas.  ...  One of the important problems in video data mining is video association rule mining.  ... 
doi:10.5121/ijma.2011.3405 fatcat:otbefjxy4vaynmosfmqmre5qai

Language support for temporal data mining [chapter]

Xiaodong Chen, Ilias Petrounias
1998 Lecture Notes in Computer Science  
This paper presents a generic definition of temporal patterns and a framework for discovering them. A query language for the mining of such patterns is presented in detail.  ...  As an instance of generic patterns, temporal association rules are used as examples of the proposed approach.  ...  Definition 3 (General Mining Problem): Given a time-stamped dataset D over a time domain T, the problem of mining temporal patterns is to discover all patterns of the form <Patt, PeriodicExp, IntervalExp  ... 
doi:10.1007/bfb0094830 fatcat:n6f4wu6plngzxclhfqxlz3kvkq
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