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Real time event monitoring with trident
Date Issued
2013-09-23
Date Available
2014-01-23T09:21:19Z
Abstract
Building a scalable, fault-tolerant stream mining system that
deals with realistic data volumes presents unique challenges. Considerable
work is being done to make the development of such systems simpler,
creating high level abstractions on top of existing systems. Many of the
technical barriers can be eliminated by adopting a state-of-the-art interface,
such as the Trident API for Storm. We describe a stream mining
tool, based on Trident, for monitoring breaking news events on Twitter,
which can be extended quickly and scaled easily.
deals with realistic data volumes presents unique challenges. Considerable
work is being done to make the development of such systems simpler,
creating high level abstractions on top of existing systems. Many of the
technical barriers can be eliminated by adopting a state-of-the-art interface,
such as the Trident API for Storm. We describe a stream mining
tool, based on Trident, for monitoring breaking news events on Twitter,
which can be extended quickly and scaled easily.
Sponsorship
Science Foundation Ireland
Type of Material
Conference Publication
Language
English
Status of Item
Not peer reviewed
Journal
Georg Krempl et al. (eds.) Real-World Challenges for Data Stream Mining: Proceedings of the 1st International Workshop on Real-World Challenges for Data Stream Mining, RealStream 2013, Prague, Czech Republic, September 27, 2013
Conference Details
RealStream: Real-World Challenges for Data Stream Mining workshop at European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD 2013), Prague, September 23th to 27th, 2013
This item is made available under a Creative Commons License
File(s)
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Name
realstream2013_final.pdf
Size
196.95 KB
Format
Adobe PDF
Checksum (MD5)
7aa7b7cc27b990c998064bf53079c554
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