Identifying the bottlenecks using the aggregated data
Speedup stacks: identifying scaling Bottlenecks in multi-threaded applications
... scaling bottlenecks, which vary across programs, even if the actual speedups are com- ...Moreover, identifying these scaling bottlenecks without speedup stacks would be ...by using finer ...
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Identifying implementation bottlenecks for maternal and newborn health interventions in rural districts of the United Republic of Tanzania.
... unless bottlenecks are targeted, efforts to strengthen health systems will have little ...Since identifying bottlenecks in health service delivery can help in setting priorities, it is an important ...
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Identifying Performance Bottlenecks in CDNs through TCP-Level Monitoring
... little data in the send buffer), the congestion window ...performance bottlenecks, we identified congested network paths by correlating packet losses across connections to clients in the same ...
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Identifying bottlenecks in the iron and folic acid supply chain in Bihar, India: a mixed methods study
... There were also some limitations to this research. This study is largely qualitative and therefore is not generalizable. However, the 8 districts included were originally selected by CARE as focus districts in order to ...
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Locating cache performance bottlenecks using data profiling
... which data is processed to increase locality, or imposing admission control on the number of concurrent ...challenges: identifying the causes of misses, and presenting those causes in a way that helps the ...
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Incorporating Power Transmission Bottlenecks into Aggregated Energy System Models
... Concerning the aggregation methodology, the general difference in creating benchmark ESMs lies in the network partitioning process. As already mentioned, the Copper plate ESM represents a single-node model. Since this ...
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Analysis of Recurring Freeway Bottlenecks Using Probe Data.
... most bottlenecks, the percentage of days when the extent of congestion goes beyond the recurring bottleneck region varies between 2% to ...most bottlenecks, it can be safely assumed that the estimation of ...
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Learning from aggregated data
... trained using data that is subjected to a spatio-temporal aggregation procedure before being publicly ...released. Aggregated time series data is ubiquitous in domains like econometrics and ...
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Detrending Time-Aggregated Data
... macro data?” The results indicate it ...difference-stationary data that have been detrended by means of the HP ...quarterly data is 1600, but there is no widely accepted value for λ in, say, monthly ...
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Nonparametric estimation with aggregated data.
... Thus, because nh 2rr 1 ⫹2r 2 ⫹3 r `, the desired result ~A+40! follows+ Finally, part ~b! of Theorem 4 follows by the dominated convergence theorem using the continuity and boundedness of the kth derivative of f X ...
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Identifying Adverse Drug Events Mentions in Tweets Using Attentive, Collocated, and Aggregated Medical Representation
... For the third issue, we plan to use domain based knowledge base such as UMLS to expand the cov- erage of the limited data. We used fastText as the pre-trained word em- bedding for our model. While fastText is ...
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Home Activity Pattern Estimation Using Aggregated Electricity Consumption Data
... method using low-resolution power consumption data to tackle the following two ...consumption data aggregated per house and measured approximately every 30 s, which is usually used for demand ...
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Scalable Community Detection in Massive Networks using Aggregated Relational Data
... on aggregated relational data that leverages nodal information to fit the MMSB to massive ...called aggregated relational data (ARD) for selected nodes in a ...directly using the ARD ...
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Estimating CLV Using Aggregated Data: The Tuscan Lifestyles Case Revisited
... setting. Using the data presented in the case (a series of annual histograms showing the aggregate distribution of purchases for two different cohorts of customers newly “acquired” by a catalog marketer), ...
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Identifying Models Using Recorded Data
... ing data, but its performance is seen to degrade considerably between training and validation, demonstrating the difficulties associated with the nonlinear identification of neural ...
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Spatial Analysis of Geomasked and Aggregated Data
... obtained using its approximate version (equation ...the data is smoother, then at a fixed distance observations will be more correlated and so less affected by a possible ...
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Scalability Bottlenecks Discovery in MPSoC Platforms Using Data Mining on Simulation Traces
... by data mining techniques of low-level execution traces produced by running the application on a MPSoC ...simulator. Using such simulators is already part of the workflow of MPSoC application ...
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Processing aggregated data : the location of clusters in health data
... 1.1 Aggregated data The centroids of regions are not necessarily good representatives for the ...example using real data from an outbreak of Salmonella that took place in the Netherlands in ...
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Linear regression using both temporally aggregated and temporally disaggregated data: Revisited
... Second, as far as an applied problem is concerned, the two special cases are not so restrictive as they might seem. Separability of the likelihood can be achieved if we reasonably redesign the model in use. Case 1 ...
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Computing Aggregate Queries in Raster Image Databases Using Pre-Aggregated Data
... databases using pre-aggregated ...of using different pre-aggregates and thus select the best plan for evaluating the query in the presence of pre- aggregated ...queries using the basic ...
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