Detection of Highly Correlated Live Data Streams-Reference-Cited by-同舟云学术

Detection of Highly Correlated Live Data Streams

Published:2017-08-28 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the International Workshop on Real-Time Business Intelligence and Analytics
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Author:

Alseghayer Rakan¹,Petrov Daniel¹,Chrysanthis Panos K.¹,Sharaf Mohamed²,Labrinidis Alexandros¹

Affiliation:

1. Department of Computer Science, University of Pittsburgh, USA

2. University of Queensland, Brisbane, Australia

Publisher

ACM

Reference15 articles.

1. Fast window correlations over uncooperative time series

2. Towards Best Region Search for Data Exploration

3. Overview of Data Exploration Techniques

4. Yahoo Inc. 2016. Yahoo Finance Historical Data. (2016). https://fmance.yahoo.com/quote/YHOO/history Yahoo Inc. 2016. Yahoo Finance Historical Data. (2016). https://fmance.yahoo.com/quote/YHOO/history

5. Interactive data exploration using semantic windows

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