[PDF] Top 20 Efficient Computational Methods for Large Spatial Data
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Efficient Computational Methods for Large Spatial Data
... a computational bottleneck if the code is ...these data using statistical methods to replace evaluating the costly computer code with prediction from a statistical ...a large number of runs ... See full document
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Efficient Methods For Large-Scale Empirical Risk Minimization
... quasi-Newton methods. In deterministic settings, quasi-Newton methods, which do not require computation of the objective Hessian and ap- proximate the curvature using only gradient information, have been ... See full document
321
Efficient Methods for Inferring Large Sparse Topic Hierarchies
... each data set. The results show that on both data sets, SBTDM-tall utilizes larger numbers of topics more ...our data sets due to space complexity (the MALLET implementation exceeded our max- imum ... See full document
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Schubert, Erich (2013): Generalized and efficient outlier detection for spatial, temporal, and high-dimensional data mining. Dissertation, LMU München: Fakultät für Mathematik, Informatik und Statistik
... space methods will take O(|O| 2 ) time without index support to compute all context sets and reference ...graph data, the c i are part of the input data, so it makes sense to treat the context set ... See full document
290
Efficient spatial data management by Apache Spark
... of data sets from past ...big data tools both for cost- effective and efficiently processing and storing the enormous ...big data is significantly useful when it is shared between numerous ...this ... See full document
7
Efficient Computation of Gaussian Process Regression for Large Spatial Data Sets by Patching Local Gaussian Processes
... an efficient computational method for solving a Gaussian process (GP) regression for large spatial data sets using a collection of suitably defined local GP ...training data ... See full document
29
Clustering Algorithm for Spatial Data Mining: An Overview
... of spatial Data is a large, active field of research with wide application in GIS, remote sensing, medical imaging, traffic control, environmental studies ...from spatial data with the ... See full document
6
Sociodemographic spatial change in the UK: data and computational issues and solutions
... with large numbers of eastern Europeans, particularly from Poland, moving into the UK following their recent accession into the European ...the methods, but not always readily usable data, harmonised ... See full document
14
Efficient Logistic Regression on Large Encrypted Data
... While both the approximate HE and the approximate bootstrapping can reduce the computational overheads, they have the disadvantage of introducing an additional noise for each computation step. Even if it is small, ... See full document
31
Efficient data access techniques for large structured data files
... The Multithread Implementation was proposed to give better performance as compared to Single Thread implementation because multiple threads can start reading the file in parallel. The performance of this implementation ... See full document
40
MRCS: matrix recovery based communication efficient compressive sampling on temporal spatial data of dynamic scale sparsity in large scale environmental IoT networks
... mass data generated in IoT net- works, it is difficult to continuously gather the origi- nal data from the network, since such collection usually requires considerable effort of communication and stor- age ... See full document
15
Efficient storage of heterogeneous geospatial data in spatial databases
... geospatial data to a spatial ...geospatial data favours the document-store approach but does not consider importing data that can be segmented into homogenous ...geospatial data to a ... See full document
14
Efficient Feature Selection and Classification Technique For Large Data
... analyze data which are increasingly complex in the field of medical research, financial analysis, Business analysis and computer vision provide very high ...such data is a very challenging ...learning ... See full document
7
Bridge Models and Variable Selection Methods for Spatial Data.
... periodontal data, here we exploit the richness of the Wang and Louis model to study marginal/population-level covariate effects for spatially distributed binary ...periodontal data, where the coefficients ... See full document
106
Big Data Clustering: A Comparative Study On Various Clustering Algorithms
... managing data accumulation challenges, these days the issue is reformed into how to progress with these enormous measures of ...of data every moment, retail locations ceaselessly gather their clients' ... See full document
7
IT2 Fuzzy System Design: A New Defuzzification ApproachKamaljeet Kaur, Shakti Kumar, Jyoti Saxena
... handle data uncertainties [2], due to the fact that membership grade in the fuzzy set is expressed exactly ...Four methods of type reduction were suggested [7,8] for general and interval type 2 FLS ...these ... See full document
5
Computationally Efficient Estimation of Non-stationary Gaussian Process Models for Large Spatial Data.
... our methods of random base generation, there is a particular shaped pattern associated with each ...the data we worked with in Chapters 2 and 3, we did not have access to many useful covariates in ... See full document
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Illustrations and guidelines for selecting statistical methods for quantifying spatial pattern in ecological data
... point data, one option is to sample by overlaying a grid and convert to (x, y, z) spatially-referenced attribute data (see above and ...then methods such as those described in Turner and Gardner ... See full document
24
Access methods for Big Data: current status and future directions
... homogeneous data, and cannot recognize nuance. As a result, data must be with awareness structured as the first move in data ...An efficient demonstration, access, and analysis of ... See full document
14
A Study for Spatial Approximate String Queries in both the Euclidean Space and Road Networks
... baseline spatial solution is based on the Dijkstra’s ...the data on the network ...the spatial and the string predicates ...proposed methods for SAS queries using a comprehensive experimental ... See full document
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