On monotone data mining languages
We present a simple Data Mining Logic (DML) that can express common data mining tasks, like "Find Boolean association rules" or "Find inclusion dependencies." At the center of the paper is the problem of characterizing DML queries that are amenable to the levelwise search strateg...
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Online Access: | https://research.tue.nl/en/publications/9963d2df-0ef4-4a27-a9ee-720f65998065 https://doi.org/10.1007/3-540-46093-4_7 |
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ftuniveindcris:oai:pure.tue.nl:publications/9963d2df-0ef4-4a27-a9ee-720f65998065 2023-05-15T16:01:16+02:00 On monotone data mining languages Calders, T. Wijsen, J. Ghelli, G. Grahne, G. 2002 https://research.tue.nl/en/publications/9963d2df-0ef4-4a27-a9ee-720f65998065 https://doi.org/10.1007/3-540-46093-4_7 eng eng Springer info:eu-repo/semantics/closedAccess Calders , T & Wijsen , J 2002 , On monotone data mining languages . in G Ghelli & G Grahne (eds) , Database programming languages : 8th international workshop, DBPL-8, Frascati, Italy, september 8-10, 2001, revised papers . Lecture Notes in Computer Science , vol. 2397 , Springer , Berlin , pp. 119-132 . https://doi.org/10.1007/3-540-46093-4_7 contributionToPeriodical 2002 ftuniveindcris https://doi.org/10.1007/3-540-46093-4_7 2022-03-25T14:10:16Z We present a simple Data Mining Logic (DML) that can express common data mining tasks, like "Find Boolean association rules" or "Find inclusion dependencies." At the center of the paper is the problem of characterizing DML queries that are amenable to the levelwise search strategy used in the a-priori algorithm. We relate the problem to that of characterizing monotone first-order properties for finite models. Other Non-Article Part of Journal/Newspaper DML Eindhoven University of Technology research portal 119 132 |
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Eindhoven University of Technology research portal |
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ftuniveindcris |
language |
English |
description |
We present a simple Data Mining Logic (DML) that can express common data mining tasks, like "Find Boolean association rules" or "Find inclusion dependencies." At the center of the paper is the problem of characterizing DML queries that are amenable to the levelwise search strategy used in the a-priori algorithm. We relate the problem to that of characterizing monotone first-order properties for finite models. |
author2 |
Ghelli, G. Grahne, G. |
format |
Other Non-Article Part of Journal/Newspaper |
author |
Calders, T. Wijsen, J. |
spellingShingle |
Calders, T. Wijsen, J. On monotone data mining languages |
author_facet |
Calders, T. Wijsen, J. |
author_sort |
Calders, T. |
title |
On monotone data mining languages |
title_short |
On monotone data mining languages |
title_full |
On monotone data mining languages |
title_fullStr |
On monotone data mining languages |
title_full_unstemmed |
On monotone data mining languages |
title_sort |
on monotone data mining languages |
publisher |
Springer |
publishDate |
2002 |
url |
https://research.tue.nl/en/publications/9963d2df-0ef4-4a27-a9ee-720f65998065 https://doi.org/10.1007/3-540-46093-4_7 |
genre |
DML |
genre_facet |
DML |
op_source |
Calders , T & Wijsen , J 2002 , On monotone data mining languages . in G Ghelli & G Grahne (eds) , Database programming languages : 8th international workshop, DBPL-8, Frascati, Italy, september 8-10, 2001, revised papers . Lecture Notes in Computer Science , vol. 2397 , Springer , Berlin , pp. 119-132 . https://doi.org/10.1007/3-540-46093-4_7 |
op_rights |
info:eu-repo/semantics/closedAccess |
op_doi |
https://doi.org/10.1007/3-540-46093-4_7 |
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119 |
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132 |
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1766397197972144128 |