Exact(9)
The proposed solution is evaluated on a VMware technical support dataset.
A VMware technical support dataset is now analysed using five of Mahout's distributed clustering algorithms.
Future plans include addition of subsequent statistical analysis into the QSAR-ML format and hence not only support dataset setup but also model fitting and prediction.
Secondly an evaluation of the performance and accuracy of parallelised clustering algorithms for analysing a distributed data set is conducted using a real-world technical support dataset.
To ensure directly comparable rule sets, C4.5 was applied to the discretized SUPPORT dataset.
In our analysis, we utilized the entire SUPPORT dataset, both development and validation cohorts.
Similar(51)
An end to end proof of concept solution based entirely on open source components is described that can be used to process and analyse large technical support datasets to categorise similar technical support calls and identify likely resolutions.
3. The standard should, when feasible, use publicly available common data elements linked to a web site that fully defines each common data element included in the standard (needed to support dataset-independent distributed network queries).
(See additional file 1 for details on supported dataset formats and size).
The main script for training the networks is available in the supporting dataset deposit ('FFNN.py' and 'instructions_DNN.pdf').
Summaries and details for both SNPs and microsatellites are provided in Supporting Dataset S2.
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