DATANAL: an interpretive language for online analysis of empirical data

Research Program on the Management of Science and Technology.

書誌詳細
主要な著者: Miller, James R., Selwyn, Lee Lawrence
フォーマット: Working Paper
出版事項: [Cambridge, Mass., M.I.T.] 2009
主題:
オンライン・アクセス:http://hdl.handle.net/1721.1/47225
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author Miller, James R.
Selwyn, Lee Lawrence
author_facet Miller, James R.
Selwyn, Lee Lawrence
author_sort Miller, James R.
collection MIT
description Research Program on the Management of Science and Technology.
first_indexed 2024-09-23T15:44:29Z
format Working Paper
id mit-1721.1/47225
institution Massachusetts Institute of Technology
last_indexed 2024-09-23T15:44:29Z
publishDate 2009
publisher [Cambridge, Mass., M.I.T.]
record_format dspace
spelling mit-1721.1/472252019-04-12T10:15:33Z DATANAL: an interpretive language for online analysis of empirical data Miller, James R. Selwyn, Lee Lawrence Database management. Research Program on the Management of Science and Technology. 2009-09-30T22:10:18Z 2009-09-30T22:10:18Z 1967 Working Paper datanalinterpret00mill http://hdl.handle.net/1721.1/47225 14354254 000258108 Working paper (Sloan School of Management) ; 275-67. application/pdf [Cambridge, Mass., M.I.T.]
spellingShingle Database management.
Miller, James R.
Selwyn, Lee Lawrence
DATANAL: an interpretive language for online analysis of empirical data
title DATANAL: an interpretive language for online analysis of empirical data
title_full DATANAL: an interpretive language for online analysis of empirical data
title_fullStr DATANAL: an interpretive language for online analysis of empirical data
title_full_unstemmed DATANAL: an interpretive language for online analysis of empirical data
title_short DATANAL: an interpretive language for online analysis of empirical data
title_sort datanal an interpretive language for online analysis of empirical data
topic Database management.
url http://hdl.handle.net/1721.1/47225
work_keys_str_mv AT millerjamesr datanalaninterpretivelanguageforonlineanalysisofempiricaldata
AT selwynleelawrence datanalaninterpretivelanguageforonlineanalysisofempiricaldata