Article

A native extension of SQL for mining data streams

Authors:

Chang Luo,

Hetal Thakkar,

Haixun Wang,

Carlo ZanioloAuthors Info & Claims

SIGMOD '05: Proceedings of the 2005 ACM SIGMOD international conference on Management of data

Pages 873 - 875

https://doi.org/10.1145/1066157.1066271

Published: 14 June 2005 Publication History

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Abstract

ESL¹ enables users to develop stream applications in an SQL-like high level language that provides the ease-of-use of a declarative language, which is Turing complete in terms of expressive power [11].

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Lecue FWu J(2017)Explaining and predicting abnormal expenses at large scale using knowledge graph based reasoningWeb Semantics: Science, Services and Agents on the World Wide Web10.1016/j.websem.2017.05.00344:C(89-103)Online publication date: 1-May-2017
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Laptev NMozafari BMousavi HThakkar HWang HZeng KZaniolo C(2016)Extending Relational Query Languages for Data StreamsData Stream Management10.1007/978-3-540-28608-0_18(361-386)Online publication date: 12-Jul-2016
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A native extension of SQL for mining data streams
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Published In

SIGMOD '05: Proceedings of the 2005 ACM SIGMOD international conference on Management of data

June 2005

990 pages

ISBN:1595930604

DOI:10.1145/1066157

Conference Chair:
Fatma Ozcan
IBM Almaden Research Center

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]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 14 June 2005

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SIGMOD/PODS05: International Conference on Management of Data and Symposium on Principles Database and Systems

June 14 - 16, 2005

Maryland, Baltimore

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Overall Acceptance Rate 785 of 4,003 submissions, 20%

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Lecue FWu J(2017)Explaining and predicting abnormal expenses at large scale using knowledge graph based reasoningWeb Semantics: Science, Services and Agents on the World Wide Web10.1016/j.websem.2017.05.00344:C(89-103)Online publication date: 1-May-2017
https://dl.acm.org/doi/10.1016/j.websem.2017.05.003
Laptev NMozafari BMousavi HThakkar HWang HZeng KZaniolo C(2016)Extending Relational Query Languages for Data StreamsData Stream Management10.1007/978-3-540-28608-0_18(361-386)Online publication date: 12-Jul-2016
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Ordonez CMohanam NGarcia-Alvarado C(2014)PCA for large data sets with parallel data summarizationDistributed and Parallel Databases10.1007/s10619-013-7134-632:3(377-403)Online publication date: 1-Sep-2014
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