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Data fusion
2009
Proceedings of the VLDB Endowment
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Fusion in MS Outlook 2007
Data Fusion | VLDB 2009 Tutorial | Luna Dong & Felix Naumann
33
Overview
Data Fusion | VLDB 2009 Tutorial | Luna Dong & Felix Naumann
34
Data fusion in the integration ...
al., 09b] Data Fusion | VLDB 2009 Tutorial | Luna Dong & Felix Naumann See Tomorrow's talks in -Data Integration I‖ Outline Data Fusion | VLDB 2009 Tutorial | Luna Dong & Felix Naumann Data fusion in ...
doi:10.14778/1687553.1687620
fatcat:ybrab3cqznb23j53gboizxw32y
Data fusion
2008
ACM Computing Surveys
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data fusion, namely, uncertain and conflicting data values. ...
This article places data fusion into the greater context of data integration, precisely defines the goals of data fusion, namely, complete, concise, and consistent data, and highlights the challenges of ...
the final step of data fusion. ...
doi:10.1145/1456650.1456651
fatcat:hpcouuy7ifgbhkkh3clcxvi7wq
From data fusion to knowledge fusion
2014
Proceedings of the VLDB Endowment
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larger than the data sets used in previous data fusion papers. ...
A recent survey [20] has provided a detailed comparison of various fusion methods on Deep Web data. ...
APPLYING DATA FUSION METHODS TO KNOWLEDGE FUSION We apply existing data fusion (DF) methods to solve the knowledge fusion (KF) problem. In Section 4.1 we describe our adaptations. ...
doi:10.14778/2732951.2732962
fatcat:632i2vd2d5fs3khejxqb7pbw7e
From Data Fusion to Knowledge Fusion
[article]
2015
arXiv
pre-print
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larger than the data sets used in previous data fusion papers. ...
A recent surveyLDL+12 has provided a detailed comparison of various fusion methods on Deep Web data. ...
APPLYING DATA FUSION METHODS TO KNOWLEDGE FUSION We apply existing data fusion (DF) methods to solve the knowledge fusion (KF) problem. In Section 4.1 we describe our adaptations. ...
arXiv:1503.00302v1
fatcat:3ln6k527k5axjo3xs4doo6ipfq
Cosmic Data Fusion
[article]
2000
arXiv
pre-print
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Secondly we extend our earlier work on combining CMB, supernovae, cluster number counts, IRAS galaxy redshift survey data to include BOOMERANG and MAXIMA-1 data and to allow a free Omega_b h^2. ...
We assume a baryonic fraction as inferred from Big-Bang Nucleosynthesis and find that all three data sets agree well, overlapping significantly at the 2-sigma level. ...
Rocha for her work on compilation of the CMB data set, G. Efstathiou for providing the supernova likelihoods and the referee of work included here, S. Zaroubi. ...
arXiv:astro-ph/0012478v1
fatcat:6e55nfn7s5as3bcrzdrth2qkqe
Data Structure Fusion
[chapter]
2010
Lecture Notes in Computer Science
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In our approach, abstract data types are specified using relational algebra and functional dependencies; a novel fuse operation on relational indexes specifies where the underlying physical data structure ...
We consider the problem of specifying data structures with complex sharing in a manner that is both declarative and results in provably correct code. ...
for each fusion declaration. ...
doi:10.1007/978-3-642-17164-2_15
fatcat:jykfcdirlnbcbmoz25xyvnfgia
Multimedia Data Fusion
2013
Mathematical Problems in Engineering
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, sensor selection for optimal sensor fusion, performance evaluation of the data fusion algorithms, joint data registration and fusion algorithms and the application of multimedia data fusion. ...
Joint Data Registration and Fusion Algorithms Joint data fusion is a problem that arises in some areas of science. ...
doi:10.1155/2013/586259
fatcat:vayhdf37a5dfzbredsof3nhr6u
XML Data Fusion
[chapter]
2010
Lecture Notes in Computer Science
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In this paper, we propose a model for XML data fusion, which allows the integrator to define data cleaning rules for solving value conflicts that may have been detected during the integration process. ...
We also introduce a notion of fusion policy validation that prevents conflicting resolution rules to be defined. ...
Some issues that need to be further investigated include: (1) integration of the model to a technique for incrementally updating the data repository when new versions of data sources become available; ...
doi:10.1007/978-3-642-15105-7_24
fatcat:jsua4wtx6bdeliv6yui6wqh7ey
Cosmic Data Fusion
2005
Symposium - International astronomical union
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Secondly we extend our earlier work on combining CMB, supernovae, cluster number counts, IRAS galaxy redshift survey data to include BOOMERANG and MAXIMA-1 data and to allow a free Ωbh2. ...
We assume a baryonic fraction as inferred from Big-Bang Nucleosynthesis and find that all three data sets agree well, overlapping significantly at the 2σ level. ...
Rocha for her work on compilation of the CMB data set, G. Efstathiou for providing the supernova likelihoods and the referee of work included here, S. Zaroubi. ...
doi:10.1017/s007418090021646x
fatcat:22xtwuhdfveineomfbvgfjcrx4
Online data fusion
2011
Proceedings of the VLDB Endowment
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This paper proposes SOLARIS, the first online data fusion system. ...
Data fusion techniques, on the other hand, aim to find the true values, but are designed for offline data aggregation and can take a long time. ...
This paper describes SOLARIS, the first online data fusion system. ...
doi:10.14778/3402707.3402731
fatcat:5czmjpzn6be6vbqpllk3udzgru
Semeiotic data fusion
2000
Proceedings of the Third International Conference on Information Fusion
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Standard techniques for data fusion are quantitative in character. ...
Finn has developed an approach to data fusion in qualitative contexts that he calls "the JSM Method of Hypothesis Generation." This report is a brief survey of Finn's approach. ...
Thus, in the present context data fusion is the process of reaching such hypotheses on the basis of raw input data. The American logician Charles S. ...
doi:10.1109/ific.2000.859846
fatcat:gtf7k4aleje57hl2yiq6x7aotm
Multisensor Data Fusion
[chapter]
2008
Springer Handbook of Robotics
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ANSER II: Decentralised Data Fusion Decentralised data fusion (DDF) methods were initially motivated by the insight that the information or canonical form of the conventional Kalman filter data fusion ...
This chapter also briefly reviews a number of non-probabilistic data fusion methods. Data fusion systems are often complex combinations of sensor devices, processing and fusion algorithms. ...
doi:10.1007/978-3-540-30301-5_26
fatcat:fpqgiqyvs5bytie2chimxviwni
Structured Data Fusion
2015
IEEE Journal on Selected Topics in Signal Processing
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Structured data fusion Tensorlab v2.0 offers a domain specific language for SDF. See the examples on the right! Tensorlab offers a library of tensor decompositions for SDF. ...
• Each data set (X , Y and Z ) is represented as a tensor. • Each tensor is factorized with a tensor decomposition. • The factorizations are coupled with each other by indicating which factors should be ...
doi:10.1109/jstsp.2015.2400415
fatcat:jueiqa3jyjbjhezesszzu2nksq
Quaternion Data Fusion
[chapter]
2015
Advances in Estimation, Navigation, and Spacecraft Control
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A numerical example of two-quaternion data fusion is given to illustrate the viability of the method as a global minimization method for quaternion data fusion. ...
A numerical method for solving a class of constrained minimization problems encountered in quaternion data fusion is presented. ...
This unity-norm constraint leads to problems for data fusion involving quaternions. The objective of data fusion is to find the optimal estimate from data of various sources. ...
doi:10.1007/978-3-662-44785-7_23
fatcat:3mhr3vsfp5fcnfq5fv7eigi3ei
The Study : Data Fusion Methodologies
2017
International Journal of Recent Trends in Engineering and Research
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But as world is changing fast and to stay relevant in the market or remain market leader one need to see the unseen dimension of data, to answer to this question Data Fusion Technique comes into picture ...
using such big information of data. ...
INTRODUCTION Over couple of year's back data fusion/information fusion was seen as sensor data fusion technique, where various sensor would produce data, information retrieved from those sensor would be ...
doi:10.23883/ijrter.2017.3194.8aerc
fatcat:bdis7ehndzfjdjap66yneagpna
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