Titlebook: Big Data Analytics; Second International Vasudha Bhatnagar,Srinath Srinivasa Conference proceedings 2013 Springer International Publishing

現(xiàn)存

Demonstrator of a Tourist Recommendation Systemr. The gps positions are lined to the gps positions of the tourist sites (restaurants, beaches, museums ...). [9] These links are presented as a summary of the data. This summary is used to run specific versions of machine learning algorithms because of their geo-graphical dimension. This experiment

敏捷

Blood-Vessels

Pattern Recognition in Large-Scale Data Sets: Application in Integrated Circuit Manufacturingeters measured on a wafer. Linear discriminant analysis and artificial neural networks are used to classify a signature of test electrical measurements of a failed chip to one of several pre-determined root cause categories. An optimal decision rule that assigns a new incoming signature of a chip to

Atrium

Performance Comparison of Hadoop Based Tools with Commercial ETL Tools – A Case Studyer and faster than commercial prevalent ETL tools. This paper presents a case study where experimental metric results have been presented in support of the claim. The reduction of cost makes it viable for small and large organizations alike and reduction in execution time makes it possible to provide online data services.

fulmination

https://doi.org/10.1007/978-3-030-01364-6word-of-mouth diffusion mechanism through the network by defining a “copying” behavior. When a follower of a user tweets on the same topic as the user, the follower is said to have copied. We further make the definition time-dependent by imposing temporal thresholds on it.

COST

精密

Neutropenia

dapper

Stylometric Analysis for Authorship Attribution on Twittertwo stage process, where in the first stage, stylometric information is extracted from the collected dataset and in the second stage different classification algorithms are trained to predict authors of unseen text. The effort is towards maximizing the accuracy of predictions with optimum amount of data and users under consideration.

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