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Predicting Customer Churn: Extreme Gradient Boosting with Temporal Data
[article]
2018
arXiv
pre-print
Preserved Fulltext
Accurately predicting customer churn using large scale time-series data is a common problem facing many business domains. ...
The proposed model was submitted in the WSDM Cup 2018 Churn Challenge and achieved first-place out of 575 teams. ...
Challenge was sponsored and managed by the 11th ACM International Conference on Web Search and Data Mining (WSDM 2018). Competition platform was hosted by Kaggle. ...
arXiv:1802.03396v1
fatcat:n5gt7uyppbgaderiqrdnwnqtqe
Report from the 4th Workshop on Extremely Large Databases
2010
Data Science Journal
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Those models may then be applied, especially by credit card processors, to real-time transactions using extremely low-latency stream processing systems. ...
The oil/gas exploration and production business analyzed petascale seismic and sensor data using both proprietary rendering algorithms and common scientific techniques like curve fitting, usually with ...
Computation at credit card processors was dominated by extremely low-latency stream processing on many small pieces of data. ...
doi:10.2481/dsj.xldb10
fatcat:hpc7afhbwjadvahngm7utw2i4a
On Processing Extreme Data
2016
Scalable Computing : Practice and Experience
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The tool can drive and filter the required instrumentation and data collection described before required for the analysis. ...
Such strategy can open the way to implement many data-intensive applications in several application domains both in science and business. ...
doi:10.12694/scpe.v16i4.1134
fatcat:yibmtpz5szgudgocgoojodhjc4
From a stream of relational queries to distributed stream processing
2010
Proceedings of the VLDB Endowment
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In several extreme high-load cases, this approach does not scale to the processing speeds that these applications demand. ...
Applications from several domains are now being written to process live data originating from hardware and softwarebased streaming sources. ...
One of the driving forces behind this movement is the need for business analysts, decision makers, and scientists alike to have better tools to make more accurate management decisions or to extract, on ...
doi:10.14778/1920841.1921012
fatcat:xvbizkiianhhzorpnzmhp5dboq
S2CE: A Hybrid Cloud and Edge Orchestrator for Mining Exascale Distributed Streams
[article]
2020
arXiv
pre-print
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To address this need, this paper proposes Stream to Cloud & Edge (S2CE), a first of its kind, optimized, multi-cloud and edge orchestrator, easily configurable, scalable, and extensible. ...
The explosive increase in volume, velocity, variety, and veracity of data generated by distributed and heterogeneous nodes such as IoT and other devices, continuously challenge the state of art in big ...
In fact, these challenges drive particular industrial needs, for which a future processing platform should adequately address. ...
arXiv:2007.01260v1
fatcat:hfavtqtpmnd2xo5uh7tzcomm4u
Efficient mobile multimedia streaming
2010
ACM SIGMultimedia Records
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Busy Time Slack Time Busy Time Slack Time · · · · · · v 1 u 1 w 1 = u 2 v 2 w 2 = u 3
Theorem 8 (Near-Optimality of Energy Saving). ...
Streaming VBR videos in the Internet is challenging. ...
The SMS ′ Algorithm 1. // Input: multiple VBR streams. 2 . // Output: burst transmission schedule for all bursts. 3 . // initial transform 4 . for s = 1 to S 5. ...
doi:10.1145/1874413.1874417
fatcat:ag37drot2rcrzpbj3juxknlxn4
Software challenges in extreme scale systems
2009
Journal of Physics, Conference Series
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Dr His research areas include advanced VLSI and nano technologies, non von Neumann models of programming and execution, parallel algorithms and applications, and their impact on massively parallel computer ...
It will be a challenge for hardware designers to provide adequate bandwidth and sufficiently low memory latency to keep processors "busy". ...
A speedup of S(N,P) for some real number of processors P is equivalent to having S(N,P) processors and an algorithm that keeps them busy 100% of the time. ...
doi:10.1088/1742-6596/180/1/012045
fatcat:iukutry2dvbitfdh6ng7kgz564
Big data and extreme-scale computing
2018
The international journal of high performance computing applications
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The final processing view includes algorithm characterizations like optimization, alignment, N-body method, spectral method, and so on. ...
Hence, the design challenge for creating a specification for a scalable DSP spanning layer is to find one that optimally balances these two opposing goals. ...
doi:10.1177/1094342018778123
fatcat:vwrrxmad4rhtppq6ioaz4h5q7a
Energy-Efficient Computing for Extreme-Scale Science
2009
Computer
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problem spaces, such as climate change, requires more than a business-as-usual approach. ...
The computational power required for extreme-scale modeling accurate enough to inform critical policy decisions requires a new breed of extreme-scale computers. ...
The autotuner first systematica lly applies compiler optimizations and then uses domain-specific knowledge of the algorithm to take more aggressive steps, such as loop reordering, to produce optimal, but ...
doi:10.1109/mc.2009.353
fatcat:qerwoknemnaivcn2j55l2oc7iu
V3: A vehicle-to-vehicle live video streaming architecture
2005
Pervasive and Mobile Computing
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We consider the problem of how to enable a live video streaming service to driving vehicles. ...
In this paper, we propose V3, an architecture to provide a live video streaming service to driving vehicles through vehicle-to-vehicle (V2V) networks. ...
Video streaming in V2V networks is challenging for several reasons. 1. ...
doi:10.1016/j.pmcj.2005.08.001
fatcat:ngtvxowfcjcqbmpc7udkh7hhju
A Chronological Review Of The Video Streaming Over P2P Networks
2017
Zenodo
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Multimedia streaming is a real time application so, the main challenges in the design of this mechanism are (1) selection of senders peers nodes; (2) stream switching among the peers; (3) optimizing video ...
Lots of Research has been done at design and evaluation of a quality adaptation streaming mechanism in a multi-source streaming to a single receiver. ...
with the significant impact of business. ...
doi:10.5281/zenodo.839831
fatcat:k4gta45scnfjbolruuot64ye44
Games@large graphics streaming architecture
2008
2008 IEEE International Symposium on Consumer Electronics
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This paper focuses on one of the innovative aspects of the Games@Large project idea -the interactive streaming of graphical output to client devices. ...
Since computer games are highly interactive, extremely low delay has to be achieved for both techniques. ...
The protocol is focused on the performance optimizations required. 4. ...
doi:10.1109/isce.2008.4559473
fatcat:lxzx7nm7njazfhmbuqw6htt2zm
The Multi-streamed Solid-State Drive
2014
USENIX Workshop on Hot Topics in Storage and File Systems
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This paper makes a case for the multi-streamed solidstate drive (SSD). ...
We show through experimentation with a real multi-streamed SSD prototype that the worst-case update throughput of a Cassandra NoSQL DB system can be improved by nearly 56%. ...
Conclusions We made a case for the multi-streamed SSD in this paper. ...
dblp:conf/hotstorage/KangHMC14
fatcat:ju7k3ynfmbbllb6375bmjc6kmu
Extreme Telesurgery
[chapter]
2010
Robot Surgery
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In long-distance telementoring, the time/cost effectiveness and the provided higher level of medical care are the most important benefits, while in extreme telemedicine, such as space exploration it may ...
The controller has been designed to operate under extremely different atmospheric conditions, e.g. it only contains solid-state memory drives. ...
Challenges in teleoperation Effectiveness of surgical care heavily relies on the prompt delivery of treatment, and extreme teleoperation serves this principle. ...
doi:10.5772/6894
fatcat:xndebm6fmrakdkvhb3wk47ex6y
Towards Automatic Parallelization of Stream Processing Applications
2018
IEEE Access
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In this paper, we present a compile-time framework to (semi) automatically find parallel patterns (Pipeline and Farm) and transform sequential streaming applications into parallel using GrPPI, a generic ...
Parallelizing and optimizing codes for recent multi-/many-core processors have been recognized to be a complex task. ...
To mitigate these issues, in this paper we propose a complete framework which takes advantage of both approaches mentioned above to deal with the parallel programming challenge in the context of stream ...
doi:10.1109/access.2018.2855064
fatcat:3f6ovqtbkvdjdgf5zb5a6dlzt4
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