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These models are applied to a concrete scenario: data stream analysis produced by cameras embedded on vehicles.
This paper proposes the online implementation and deployment of Temporal Fuzzy Concept Analysis on a distributed real-time computation system, based on Apache Storm, to face with big data stream analysis in the smart city context.
According to the authors, VEDAS implements a collection of techniques and algorithms, including proprietary ones, to perform data stream analysis.
It is clear that the so-described EWMA algorithm cannot be directly applied for the on-line data stream analysis because it clearly requires two passes over the whole data set.
This model is typically represented by a graph where vertices are source nodes that produce data, operators that implement algorithms for data stream analysis, or sink nodes that consume the processed data stream, and where edges define possible data paths among the nodes (i.e., stream channels).
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Topics include: Frequent itemsets and Association rules, Near Neighbor Search in High Dimensional Data, Locality Sensitive Hashing (LSH), Dimensionality reduction, Recommender Systems, Clustering, Link Analysis, Large-scale machine learning, Data streams, Analysis of Social-network Graphs, and Web Advertising.
Examples range from credit card fraud detection systems, which analyze massive streams of credit card transactions to identify suspicious patterns, to environmental monitoring applications that continuously analyze sensor data, to click stream analysis of Web sites that identify frequent patterns of interactions.
Sampling has been used in approximate query evaluation [21, 22], data stream processing [23], statistical data analysis [24] and other fields [25, 26].
Analysis was performed in a Luminex 100 instrument and the resulting data stream was interpreted using proprietary data analysis software developed at Rules-Based Medicine (RBM Plate Viewer version 1.1.1).
Analysis was performed in a Luminex 100 instrument and the resulting data stream was interpreted using proprietary data analysis software developed at RBM.
Expertise: Probabilistic algorithms, data streaming, data structures, analysis of algorithms, analytic combinatorics.
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