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Hancock: a language for processing very large-scale data

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Proceedings of the 2nd conference on Domain-specific languages table of contents

Austin, Texas, United States

Pages: 163 - 176

Year of Publication: 1999

ISBN:1-58113-255-7

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Authors

Dan Bonachea	EECS department at the University of California at Berkeley and AT&T Labs, Shannon Laboratory, 180 Park Avenue, Florham Park, NJ
Kathleen Fisher	AT&T Labs, Shannon Laboratory, 180 Park Avenue, Florham Park, NJ
Anne Rogers	AT&T Labs, Shannon Laboratory, 180 Park Avenue, Florham Park, NJ
Frederick Smith	CS department at Cornell University and AT&T Labs, Shannon Laboratory, 180 Park Avenue, Florham Park, NJ

Sponsors

SIGSOFT: ACM Special Interest Group on Software Engineering
SIGPLAN: ACM Special Interest Group on Programming Languages
USENIX Assoc : USENIX Assoc

Publisher

ACM New York, NY, USA

Bibliometrics

Downloads (6 Weeks): 4, Downloads (12 Months): 31, Citation Count: 7

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ABSTRACT

A signature is an evolving customer profile computed from call records. AT&T uses signatures to detect fraud and to target marketing. Code to compute signatures can be difficult to write and maintain because of the volume of data. We have designed and implemented Hancock, a C-based domain- specific programming language for describing signatures. Hancock provides data abstraction mechanisms to manage the volume of data and control abstractions to facilitate looping over records. This paper describes the design and implementation of Hancock, discusses early experiences with the language, and describes our design process.

REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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CITED BY 7

	Corinna Cortes , Kathleen Fisher , Daryl Pregibon , Anne Rogers, Hancock: a language for extracting signatures from data streams, Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining, p.9-17, August 20-23, 2000, Boston, Massachusetts, United States
	Holger M. Kienle, Using smgn for rapid protoptyping of small domain-specific languages, ACM SIGPLAN Notices, v.36 n.9, September 2001
	Charu C. Aggarwal, A framework for diagnosing changes in evolving data streams, Proceedings of the 2003 ACM SIGMOD international conference on Management of data, June 09-12, 2003, San Diego, California
	Corinna Cortes , Kathleen Fisher , Daryl Pregibon , Anne Rogers , Frederick Smith, Hancock: A language for analyzing transactional data streams, ACM Transactions on Programming Languages and Systems (TOPLAS), v.26 n.2, p.301-338, March 2004
	Marjan Mernik , Jan Heering , Anthony M. Sloane, When and how to develop domain-specific languages, ACM Computing Surveys (CSUR), v.37 n.4, p.316-344, December 2005
	Charu C. Aggarwal, On Change Diagnosis in Evolving Data Streams, IEEE Transactions on Knowledge and Data Engineering, v.17 n.5, p.587-600, May 2005
	Christopher W. Milner , Jack W. Davidson, Quick piping: a fast, high-level model for describing processor pipelines, ACM SIGPLAN Notices, v.37 n.7, July 2002