Data analysis and techniques
Solving linear equations with messenger-field and conjugate gradient techniques: An application to CMB data analysis
... messenger-field and compare them with (precondi- tioned) conjugate gradients ...messenger-field techniques correspond to fixed point iterations of an appropriately preconditioned initial system of linear ...
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A chromaticity analysis and PSF subtraction techniques for SCExAO/CHARIS data
... dashed, and dotted lines indicate the raw, final L-type, and final T-type contrasts, ...a and b does show that T-type subtractions generally reach up to ∼50% deeper contrasts than the corresponding ...
21
Generation of knowledge about the control of a flow shop using data-analysis oriented learning techniques and simulation
... L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignemen[r] ...
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Software Tracing Comparison Using Data Mining Techniques
... seconds and containing only a small number of ...the analysis of its data, as described in other work ...tracing and works through metadata insertion, aiming to target all nodes within a ...
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Intercomparison of homogenization techniques for precipitation data.
... precipitation data in the southern and central regions of the province of Quebec, ...homogeneous and inhomogeneous synthetic ...southern and central parts of the province of Quebec and ...
20
Benefits and realities of ship data collection and analysis
... The analysis of operational vessel data is challenging and ...operational and vessel condition related, that influence the ...filtering and sorting techniques are required to ...
11
Parallel Techniques for Big Data Analytics
... scale data manage- ment and ...indexing and similarity search over large volume of time series [84, 85, 86, ...users and companies are interested to take advantage of the cloud computing power ...
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Aggregation of Statistical Data from Passive Probes: Techniques and Best Practices
... of analysis and consolidation as a offline ...performance analysis is limited to show-case functionality of the tools, though neither practical algorithms nor guidelines are given for our problem at ...
14
Visualization techniques for data mining
... a data mining tool (e.g. rules, decision tree branches, etc.) and the data covered by them may be accomplished through the use of scatter plots and box ...of data covered by a rule in ...
16
Detection of low dimensionality and data denoising via set estimation techniques
... The study of sets with positive reach was started by Federer (1959); see Th¨ ale (2008) for a survey. This is now a major topic in different problems of manifold learning or topological data analysis. See, ...
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A Novel Data Compression Techniques for Remote Sensing Data Mining
... image analysis poses several issues [2] as the Hughes phenomenon, due to the small ra- tio between the number of samples and the number of spec- tral bands; a high spatial correlation, violating the ...
5
Applying machine learning techniques to the analysis of policy data of the military health enterprise
... these views have a strong focus on Aim one (readiness), a medium focus on Aims two and three (population health and experience of care), and a weak focus on the remain[r] ...
159
Recommendation And Visualization Techniques For large Scale Data
... precision, and no need to content information of the ...memory-based and model-based ...the data through global op- timization ...[12] and latent semantic analysis ...
147
Enterprise networks : modern techniques for analysis, measurement and performance improvement
... of data transfered, have been extensively studied and proved to be able to greatly enhance the responsiveness by favoring small transfers, which in general represent interac- tive applications in real life ...
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Data Pre-Processing and Intelligent Data Analysis
... proper techniques to rectify the problems. Following are a number of techniques that have been developed and applied to transform data from various ...3.1.1 Data Filtering Data ...
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Data compression techniques for urban traffic data
... Component Analysis PCA is a particular Karhunen-Loeve (KL) Transform, which has been employed in many D 2 IT S applications including data compression [9] and missing data imputation ...
7
Advanced integrability techniques and analysis for quantum spin chains
... apply and allows a stable massless Goldstone phase to appear, also called spontaneous symmetry ...bosonic and fermionic degrees of freedom constrained to lie on a ...bosons and symplectic fermions, ...
209
Alliance revenue management in practice : techniques and simulation analysis
... A new valuation scheme called dynamic valuation is developed in an effort to increase the combined alliance revenues by using bid price sharing, a method of shari[r] ...
142
Exploring Big Data Environment for Conversation Data Analysis and Mining on Microblogs
... feelings, and experiences about virtually any ...topics and can be used to improve the conversation retrieval task ...Big Data environment to propose an information retrieval approach for ...
10
Reliability analysis methods and improvement techniques applicable to digital circuits
... ] and later w as used as the basis for publications in conferences and journals [ 103 , 104 ...sourcing and fault ...faults and are also able to suppress ...
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