218,749 research outputs found
StreamLearner: Distributed Incremental Machine Learning on Event Streams: Grand Challenge
Today, massive amounts of streaming data from smart devices need to be
analyzed automatically to realize the Internet of Things. The Complex Event
Processing (CEP) paradigm promises low-latency pattern detection on event
streams. However, CEP systems need to be extended with Machine Learning (ML)
capabilities such as online training and inference in order to be able to
detect fuzzy patterns (e.g., outliers) and to improve pattern recognition
accuracy during runtime using incremental model training. In this paper, we
propose a distributed CEP system denoted as StreamLearner for ML-enabled
complex event detection. The proposed programming model and data-parallel
system architecture enable a wide range of real-world applications and allow
for dynamically scaling up and out system resources for low-latency,
high-throughput event processing. We show that the DEBS Grand Challenge 2017
case study (i.e., anomaly detection in smart factories) integrates seamlessly
into the StreamLearner API. Our experiments verify scalability and high event
throughput of StreamLearner.Comment: Christian Mayer, Ruben Mayer, and Majd Abdo. 2017. StreamLearner:
Distributed Incremental Machine Learning on Event Streams: Grand Challenge.
In Proceedings of the 11th ACM International Conference on Distributed and
Event-based Systems (DEBS '17), 298-30
Address [on progress toward European integration] delivered by M. Rene Mayer, President of the High Authority of the European Community for Coal and Steel, at the New York Council on Foreign Relations. New York, 16 February 1956
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Selected Characteristics of Private and Public Sector Workers
[Excerpt] An issue for Congress and state and local governments is whether the pay and benefits of public workers are comparable to those of workers in the private sector. The effect of the recession that officially began in December 2007 and ended in June 2009 on government budgets increased the interest of policy makers in the compensation of public sector employees. According to the Congressional Budget Office (CBO), the federal deficit has fallen since FY2009. But, CBO projects that the deficit for FY2014 will be $514 billion. Several state and local governments also face budget shortfalls. Among the ways to reduce budget deficits, policy makers are considering the pay and benefits of public sector employees.
This report begins with an analysis of the trends in employment in the private and public sectors. The public sector is separated into employees of the federal government, state governments, and local governments. Next, the report analyzes selected characteristics of private and public sector workers. These characteristics are often used in comparisons of the compensation of different workers. The report does not compare the actual pay or benefits of private and public sector workers or compare the characteristics of workers to try to explain any differences in the pay or benefits of private and public sector workers
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