Social media analytics: a survey of techniques, tools and platforms
B Batrinca, PC Treleaven - Ai & Society, 2015 - Springer
This paper is written for (social science) researchers seeking to analyze the wealth of social
media now available. It presents a comprehensive review of software tools for social …
media now available. It presents a comprehensive review of software tools for social …
A survey of distributed data stream processing frameworks
Big data processing systems are evolving to be more stream oriented where each data
record is processed as it arrives by distributed and low-latency computational frameworks on …
record is processed as it arrives by distributed and low-latency computational frameworks on …
A catalog of stream processing optimizations
Various research communities have independently arrived at stream processing as a
programming model for efficient and parallel computing. These communities include digital …
programming model for efficient and parallel computing. These communities include digital …
A survey on the evolution of stream processing systems
Stream processing has been an active research field for more than 20 years, but it is now
witnessing its prime time due to recent successful efforts by the research community and …
witnessing its prime time due to recent successful efforts by the research community and …
Beyond analytics: The evolution of stream processing systems
Stream processing has been an active research field for more than 20 years, but it is now
witnessing its prime time due to recent successful efforts by the research community and …
witnessing its prime time due to recent successful efforts by the research community and …
RSP-QL semantics: A unifying query model to explain heterogeneity of RDF stream processing systems
RDF and SPARQL are established standards for data interchange and querying on the Web.
While they have been shown to be useful and applicable in many scenarios, they are not …
While they have been shown to be useful and applicable in many scenarios, they are not …
General incremental sliding-window aggregation
Stream processing is gaining importance as more data becomes available in the form of
continuous streams and companies compete to promptly extract insights from them. In such …
continuous streams and companies compete to promptly extract insights from them. In such …
Grizzly: Efficient stream processing through adaptive query compilation
Stream Processing Engines (SPEs) execute long-running queries on unbounded data
streams. They follow an interpretation-based processing model and do not perform runtime …
streams. They follow an interpretation-based processing model and do not perform runtime …
Survey of window types for aggregation in stream processing systems
In this paper, we present the first comprehensive survey of window types for stream
processing systems which have been presented in research and commercial systems. We …
processing systems which have been presented in research and commercial systems. We …
How soccer players would do stream joins
In spite of the omnipresence of parallel (multi-core) systems, the predominant strategy to
evaluate window-based stream joins is still strictly sequential, mostly just straightforward …
evaluate window-based stream joins is still strictly sequential, mostly just straightforward …