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Query Containment of Tier-2 Queries over a Probabilistic Database

Katherine F. Moore, Vibhor Rastogi, Christopher Ré, Dan Suciu
2009 International VLDB workshop on Management of Uncertain Data  
The second tutorial is followed by a discussion on the differences and commonalities between probabilistic and possibilistic databases. We would like to thank the reviewers for their time and effort.  ...  The edition in Auckland was a combined event with the workshop on Quality in Databases. Research on uncertain data has grown over the past few years.  ...  We would like to thank Hyunjung Park for several helpful discussions. Acknowledgements This work was partially funded by NSF IIS-0713576 and the eScience Institute at the University of Washington.  ... 
dblp:conf/mud/MooreRRS09 fatcat:k25665bptbcafkpbvke5a7egta

Supporting Probabilistic Data in Relational Databases

Sunil Prabhakar
2007 International VLDB workshop on Management of Uncertain Data  
After the Twente Data Management workshop on Uncertainty in Databases held at the university of Twente in June 2006, the speakers and participants expressed their wish for a workshop on the same topic  ...  This Management of Uncertain Data workshop, colocated with the international conference on Very Large DataBases (VLDB) is the result of this wish. We received 9 submissions from all over the world.  ...  Because "exact" aggregation in uncertain databases can produce exponentially-sized results, we provide three alternatives: a low bound on the aggregate value, a high bound on the value, and the expected  ... 
dblp:conf/mud/Prabhakar07 fatcat:wkk4nzwbszck5aiynidfenvs5q

Deep uncertainties in shoreline change projections: an extra-probabilistic approach applied to sandy beaches

Rémi Thiéblemont, Gonéri Le Cozannet, Jérémy Rohmer, Alexandra Toimil, Moisés Álvarez-Cuesta, Iñigo J. Losada
2021 Natural Hazards and Earth System Sciences  
Projections of shoreline retreat are highly uncertain, however, namely due to deeply uncertain mean sea level projections and the absence of consensus on a coastal impact model.  ...  This framework builds upon an empirical shoreline change model to which we ascribe possibility functions to represent deeply uncertain variables.  ...  This is not always the case and depends on the characteristics (like the monotony) of the mathematical function optimised at step 3 (given the fixed value).  ... 
doi:10.5194/nhess-21-2257-2021 fatcat:yacyuoimsbhpbjfi6ebjvarkwu

A Possibilistic Approach for Activity Recognition in Smart Homes for Cognitive Assistance to Alzheimer's Patients [chapter]

Patrice C. Roy, Sylvain Giroux, Bruno Bouchard, Abdenour Bouzouane, Clifton Phua, Andrei Tolstikov, Jit Biswas
2011 Activity Recognition in Pervasive Intelligent Environments  
The recognition of the patient's behavior when he carries out some activities in a smart home is primordial in order to give adequate assistance at the opportune moment.  ...  To address this challenging issue, we present a formal activity recognition framework based on possibility theory and description logics.  ...  We propose a formal framework for activity recognition based on description logic and possibility theory, which transforms the recognition problem into a possibilistic classification of activities.  ... 
doi:10.2991/978-94-91216-05-3_2 fatcat:ipaibx32fjechdkvxqtk2fugum

Overview of radiomics in breast cancer diagnosis and prognostication

Alberto Stefano Tagliafico, Michele Piana, Daniela Schenone, Rita Lai, Anna Maria Massone, Nehmat Houssami
2019 Breast  
In the screening setting, radiology sensitivity is suboptimal, and when a suspicious lesion is detected and a biopsy is recommended, the positive predictive value of radiology is modest.  ...  In this article we focus on the role and potential of radiomics in breast cancer diagnosis and prognostication.  ...  procedures that start from a random initialization and move from one cluster to another until no further improvement in the cost function optimization is noticed [27] .  ... 
doi:10.1016/j.breast.2019.10.018 pmid:31739125 pmcid:PMC7375670 fatcat:igng3g4qenh55om6rap5tcgmye

Databases and Artificial Intelligence [chapter]

Nicole Bidoit, Patrick Bosc, Laurence Cholvy, Olivier Pivert, Marie-Christine Rousset
2020 A Guided Tour of Artificial Intelligence Research  
They are defined by: Any constraint on the states of the database (primary key, functional or inclusion 75 dependency, ?) is represented by a formula in I C.  ...  On the other hand, the explicit representation 316 of a temporal database relies on data time stamping with time stamps being stored 317 in the database as regular data.  ... 
doi:10.1007/978-3-030-06170-8_3 fatcat:j6kir5iut5glxlpntvdp7mdake

A Game-Theoretic Decision-Making Framework for Engineering Self-Protecting Software Systems

Mahsa Emami-Taba
2017 2017 IEEE/ACM 39th International Conference on Software Engineering Companion (ICSE-C)  
Making a right decision, when facing today's sophisticated and dynamic attacks, is one of the most challenging aspects of engineering self-protecting software systems.  ...  The framework aims at exhibiting a plugand-play capability to adapt a game-theoretic technique that suite security goals and requirements of the software.  ...  Tahvildari's supervision that I prospered in this compelling research area, and ultimately, was able to meet and pass all the milestones one after another.  ... 
doi:10.1109/icse-c.2017.43 dblp:conf/icse/Emami-Taba17a fatcat:74km5e6offew7clmulxo3py6fa

Bayesian NVH metamodels to assess interior cabin noise using measurement databases [article]

V. Prakash, O. Sauvage, J. Antoni, L. Gagliardini
2022 arXiv   pre-print
Generalized additive models (GAMs) with polynomials and Gaussian basis functions are used to model the dependency of sound pressure level (SPL) on predictor variables.  ...  In recent years, a great emphasis has been put on engineering the acoustic signature of vehicles that represents the overall comfort level for passengers.  ...  of OpenLab Vibro-Acoustic-Tribology@Lyon, Laboratoire Vibrations Acoustique (LVA), INSA Lyon and the NVH department of Stellantis N.V.  ... 
arXiv:2207.02120v1 fatcat:onnzjudjt5hrbbpnjoadd3k6hy

Techniques for clustering gene expression data

G. Kerr, H.J. Ruskin, M. Crane, P. Doolan
2008 Computers in Biology and Medicine  
As such, it provides a framework for the evaluation of clustering in gene expression analyses. The nature of microarray data is discussed briefly.  ...  However, choice of suitable method(s) for a given experimental dataset is not straightforward. Common approaches do not translate well and fail to take account of the data profile.  ...  The result is dependent on the order of input as once initial cluster structure is obtained, a vertex v is moved to that cluster for which it has a higher affinity value.  ... 
doi:10.1016/j.compbiomed.2007.11.001 pmid:18061589 fatcat:katoxn6fangkvjqq5cxgvek5wm

A Conceptual Model of Measurement Uncertainty in IoT Sensor Networks

Piotr Cofta, Kostas Karatzas, Cezary Orłowski
2021 Sensors  
Nevertheless, neither the theory nor the industrial practice of uncertainty offer a coherent answer on how to address uncertainty of networks of this type and their components.  ...  This paper provides a structured overview of uncertainty, specifically focusing on IoT sensor networks.  ...  The authors are currently working, among other topics, on the issue of the unification of various theories of uncertainty for the purpose of sensor networks, specifically IoT networks.  ... 
doi:10.3390/s21051827 pmid:33807912 fatcat:bvdk3ziq3zecrmz5hpuidzjuni

Protecting query privacy in location-based services

Xihui Chen, Jun Pang
2013 Geoinformatica  
We take user profiles and query dependency as examples to illustrate the implementation of the framework and their impact on users' query privacy.  ...  query privacy protection, while we are the first to show the impact of query dependency on users' query privacy.  ...  First, the privacy concern of contextual information is usually illustrated in a possibilistic way with a focus on whether the impact exists or not.  ... 
doi:10.1007/s10707-013-0192-0 fatcat:pkoen6lxsfeuxe6qvumq3ucpgi

Advances in Ontology Matching [chapter]

Avigdor Gal, Pavel Shvaiko
2008 Lecture Notes in Computer Science  
is one of the basic operations of semantic heterogeneity reconciliation.  ...  Matching of concepts describing the meaning of data in heterogeneous distributed information sources, such as database schemas and other metadata models, grouped here under the heading of an ontology,  ...  Fund and the Fund for the Promotion of Research at the Technion. Pavel Shvaiko has been partly supported by the Knowledge Web European network of excellence (IST-2004-507482).  ... 
doi:10.1007/978-3-540-89784-2_6 fatcat:tdn45flrpfcqlk35xqdb6d3era

Evolution of Security Engineering Artifacts

Michael Felderer, Basel Katt, Philipp Kalb, Jan Jürjens, Martín Ochoa, Federica Paci, Le Minh Sang Tran, Thein Than Tun, Koen Yskout, Riccardo Scandariato, Frank Piessens, Dries Vanoverberghe (+4 others)
2014 International Journal of Secure Software Engineering  
This article provides state of the art on the evolution of security engineering artifacts.  ...  For each of these artifacts we give an overview of evolution and security aspects and discuss the state of the art on its security evolution in detail.  ...  for Open Systems" (FFG 822740), the FWF project MOBSTECO (FWF P 26194-N15), the DFG project "SecVolution" which is part of DFG  ... 
doi:10.4018/ijsse.2014100103 fatcat:o6aq54ak5zbydk42w4psuaabxq

Functional Representation of Prototypes in LVQ and Relevance Learning [chapter]

Friedrich Melchert, Udo Seiffert, Michael Biehl
2016 Advances in Intelligent Systems and Computing  
In addition to the regular research presentations, posters and demonstrations, we were happy to include several other elements in the program of BNAIC 2016, among which keynote presentations by Marc Cavazza  ...  Held yearly, the objective of BNAIC is to promote and disseminate recent research developments in Artificial Intelligence within Belgium, Luxembourg and the Netherlands.  ...  This work successfully builds on previous theories from the field of new media and linguistics.  ... 
doi:10.1007/978-3-319-28518-4_28 fatcat:uwxvq6txmrba3ajulmblafgh2a

The Flare Likelihood and Region Eruption Forecasting (FLARECAST) Project: Flare forecasting in the big data machine learning era [article]

M. K. Georgoulis, D. S. Bloomfield, M. Piana, A. M. Massone, M. Soldati, P. T. Gallagher, E. Pariat, N. Vilmer, E. Buchlin, F. Baudin, A. Csillaghy, H. Sathiapal (+16 others)
2021 arXiv   pre-print
(14) different ML techniques, also on equal footing, to optimize the immense Big Data parameter space created by these many predictors; third, the establishment of a robust, three-pronged communication  ...  In spite of being one of the most intensive and systematic flare forecasting efforts to-date, FLARECAST has not managed to convincingly lift the barrier of stochasticity in solar flare occurrence and forecasting  ...  We are also indebted to the FLARECAST Steering Committee (Neal Hurlburt [Chair], Graham Barnes, Douglas Biesecker, Pedro Russo, and Silvia Villa) who devoted time and effort on the project and contributed  ... 
arXiv:2105.05993v1 fatcat:zqpug2junneqbei3iw4gvqkzhm
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