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Enterprise Applications and Services in the Finance Industry : 7th International Workshop, FinanceCom 2014, Sydney, Australia, December 2014, Revised Papers

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Cover of 'Enterprise Applications and Services in the Finance Industry : 7th International Workshop, FinanceCom 2014, Sydney, Australia, December 2014, Revised Papers'

Table of Contents

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    Book Overview
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    Chapter 1 Detecting Changing Financial Relationships: A Self Organising Map Approach
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    Chapter 2 Evaluation of News-Based Trading Strategies
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    Chapter 3 A Proposed Framework for Evaluating the Effectiveness of Financial News Sentiment Scoring Datasets
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    Chapter 4 Finding Evidence of Irrational Exuberance in the Oil Market
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    Chapter 5 Validating an Incremental Rule Management Approach for Financial Market Data Pre-processing
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    Chapter 6 Strategic Competitive Advantages Through Enterprise Systems: The Case of Exchange Systems
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    Chapter 7 Conciliating Exploration and Exploitation at Middle-Manager Level: The Case Study of a European Bank Introducing Big Data
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    Chapter 8 Seasonality and Interconnectivity Within Cryptocurrencies - An Analysis on the Basis of Bitcoin, Litecoin and Namecoin
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    Chapter 9 Survey of Financial Market Visualization Utilizing Interactive Media Technology
Attention for Chapter 5: Validating an Incremental Rule Management Approach for Financial Market Data Pre-processing
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Citations

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Chapter title
Validating an Incremental Rule Management Approach for Financial Market Data Pre-processing
Chapter number 5
Book title
Enterprise Applications and Services in the Finance Industry
Published by
Springer, Cham, January 2015
DOI 10.1007/978-3-319-28151-3_5
Book ISBNs
978-3-31-928150-6, 978-3-31-928151-3
Authors

Chen, Weisi, Rabhi, Fethi A., Weisi Chen, Fethi A. Rabhi

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Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Professor 1 100%
Student > Master 1 100%
Readers by discipline Count As %
Computer Science 1 100%
Engineering 1 100%

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