Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
skip to main content
10.1145/2951894.2951905acmconferencesArticle/Chapter ViewAbstractPublication PagescikmConference Proceedingsconference-collections
short-paper

Combination of Rule-based and Textual Similarity Approaches to Match Financial Entities

Published: 26 June 2016 Publication History

Abstract

No abstract available.

Reference

[1]
P. Christen. Data Matching - Concepts and Techniques for Record Linkage, Entity Resolution, and Duplicate Detection. Data-Centric Systems and Applications. Springer, 2012.

Cited By

View all
  • (2021)Extraction and Representation of Financial Entities from TextData Science for Economics and Finance10.1007/978-3-030-66891-4_11(241-263)Online publication date: 9-Jan-2021

Recommendations

Comments

Information & Contributors

Information

Published In

cover image ACM Conferences
DSMM'16: Proceedings of the Second International Workshop on Data Science for Macro-Modeling
June 2016
71 pages
ISBN:9781450344074
DOI:10.1145/2951894
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Sponsors

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 26 June 2016

Permissions

Request permissions for this article.

Check for updates

Qualifiers

  • Short-paper
  • Research
  • Refereed limited

Conference

SIGMOD/PODS'16
Sponsor:
SIGMOD/PODS'16: International Conference on Management of Data
June 26 - July 1, 2016
CA, San Francisco, USA

Acceptance Rates

DSMM'16 Paper Acceptance Rate 6 of 17 submissions, 35%;
Overall Acceptance Rate 32 of 64 submissions, 50%

Upcoming Conference

CIKM '25

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • Downloads (Last 12 months)3
  • Downloads (Last 6 weeks)0
Reflects downloads up to 08 Feb 2025

Other Metrics

Citations

Cited By

View all
  • (2021)Extraction and Representation of Financial Entities from TextData Science for Economics and Finance10.1007/978-3-030-66891-4_11(241-263)Online publication date: 9-Jan-2021

View Options

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Figures

Tables

Media

Share

Share

Share this Publication link

Share on social media