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Filters
Pushing Feature Selection ahead of Join
[chapter]
2005
Proceedings of the 2005 SIAM International Conference on Data Mining
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In this paper, we present a way of performing feature selection through class propagation, eliminating the need of join before feature selection. ...
1 Current approaches for feature selection on multiple data sources need to join all data in order to evaluate features against the class label, thus are not scalable and involve unnecessary information ...
In other words, we push the process of feature selection ahead of the join operation. ...
doi:10.1137/1.9781611972757.56
dblp:conf/sdm/SheWXY05
fatcat:vbz776xk2fhhxpptbrbvl6y5fi
Aspect Refinement — Unifying AOP and Stepwise Refinement
2007
Journal of Object Technology
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all kinds of structural elements of aspects in a uniform way (methods, pointcuts, advice). ...
To underpin our proposal, we contribute a fully functional compiler on top of AspectJ, present a non-trivial, medium-sized case study, and derive a set of programming guidelines. ...
We thank Don Batory, William Cook, Christian Lengauer, and Roberto Lopez-Herrejon for their insightful comments on earlier drafts of this paper. ...
doi:10.5381/jot.2007.6.9.a1
fatcat:efbhebi3treothyt6gbpn5qp2m
Optimization of object-oriented recursive queries using cost-controlled strategies
1992
Proceedings of the 1992 ACM SIGMOD international conference on Management of data - SIGMOD '92
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as soon
as possible,
according
to the
relational
heuristics
of pushing
selection
through
join. ...
The strategy
of transformPT
below starts by pushing
selective
operations,
such as selection
or join,
through
recursion
using the filter
action. ...
doi:10.1145/130283.130322
dblp:conf/sigmod/LanzelotteVZ92
fatcat:qrdcrvk73jhhbpycf3slacv4hu
Optimization of object-oriented recursive queries using cost-controlled strategies
1992
SIGMOD record
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2016; you can also visit the original URL.
The file type is application/pdf.
as soon
as possible,
according
to the
relational
heuristics
of pushing
selection
through
join. ...
The strategy
of transformPT
below starts by pushing
selective
operations,
such as selection
or join,
through
recursion
using the filter
action. ...
doi:10.1145/141484.130322
fatcat:evckrprkcjem5irk75ad3fumca
Steaming ahead
2007
Nature
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Both play important roles in the formation of the Indian monsoon, and both contain underwater geological features of interest -such as the Southwest Indian Ridge, where oceanic plates are pulling apart ...
Now Indian researchers are pushing beyond this traditional base, with a $100-million-a-year drive deeper into their own waters and farther afield to the poles (see 'Push for the poles'). ...
Push for the poles ...
doi:10.1038/448642a
pmid:17687298
fatcat:brdqoxy7jvat5llhtlewjfhr7y
Magpie: Python at Speed and Scale using Cloud Backends
2021
Conference on Innovative Data Systems Research
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Furthermore, databases offer enterprise-grade features (e.g., transactions, fine-grained access control, tamper-proof logging, encryption) as well as a mature ecosystem of tools in modern clouds. ...
We describe a system we are building, coined Magpie, which exposes the popular Pandas API while lazily pushing large chunks of computation into scalable, efficient, and secured database engines. ...
For simplicity, we hereafter refer to programs that use the Pandas PyFroid currently handles selections, projections, feature additions, joins, and aggregations. ...
dblp:conf/cidr/JindalEDPHPG0CM21
fatcat:2u57cgl4wfar5bepjispc3on4y
Columnar Storage in SQL Server 2012
2012
IEEE Data Engineering Bulletin
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These two features together greatly improve the performance of typical data warehouse queries, in some cases by two orders of magnitude. ...
This improves I/O performance and makes more efficient use of memory. Column store indexes are fully integrated into the system. ...
For example, we currently push some filters into the column store scan; customers would like us to match or exceed the range of filter types that are pushed in row-mode queries. ...
dblp:journals/debu/LarsonHP12
fatcat:34yggxj35fclzofrhqqdavij5q
SeRViSO
2010
Proceedings of the 2010 ACM Symposium on Applied Computing - SAC '10
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Novel in this technique is the explicit handling of losses with a selective retransmission mechanism based on H.264 content, controlled by estimated decoding importance of packets. ...
Several works proposed methods to make video streaming scalable over the number of clients, avoiding the linear growth of bandwidth requirements for the media source node. ...
The priority and selection is based upon H.264 features: the NALU header, detailed in section 3. ...
doi:10.1145/1774088.1774231
dblp:conf/sac/LenzLS10
fatcat:mjdfi2xf6zdijjfpwmj6zaprji
SQL server column store indexes
2011
Proceedings of the 2011 international conference on Management of data - SIGMOD '11
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The SQL Server 11 release (code named "Denali") introduces a new data warehouse query acceleration feature based on a new index type called a column store index. ...
a broad range of decision support queries. ...
ACKNOWLEDGMENTS Many other people have contributed to the success of this project. ...
doi:10.1145/1989323.1989448
dblp:conf/sigmod/LarsonCHOPRSZ11
fatcat:ars4o7shurclfhchfg3rbz6iay
Progressive result generation for multi-criteria decision support queries
2010
2010 IEEE 26th International Conference on Data Engineering (ICDE 2010)
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However, state-of-the-art techniques either focus on handling skylines on single input sets (i.e., no joins) or do not tackle the challenge of producing progressive early output results. ...
In ProgXe the query processing (join, mapping and skyline) is conducted at multiple levels of abstraction, thereby exploiting the knowledge gained from both input as well as mapped output spaces. ...
sets or very high join selectivity [9] . ...
doi:10.1109/icde.2010.5447928
dblp:conf/icde/RaghavanR10
fatcat:j7ehjnsz2rcqvkcqxmftrfweqy
Federated Stream Processing Support for Real-Time Business Intelligence Applications
[chapter]
2010
Lecture Notes in Business Information Processing
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We show preliminary results on usefulness and performance of the MaxStream architecture on the SAP Sales and Distribution Benchmark. ...
However, we see much richer possibilities ahead; this minimal set of features is only a necessary first step that allows us to test the feasibility of our proposed architecture (Section 5). ...
As we look ahead, several important areas of research loom. ...
doi:10.1007/978-3-642-14559-9_2
fatcat:th6gzxbhsvb6xmxry6nbt27olm
Synchronized Content and Metadata Management in a Federation of Distributed Repositories of Chemical Learning Objects
[chapter]
2017
Lecture Notes in Computer Science
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Additional elements of evaluation are the capability of enhancing collaboration and fault tolerance. ...
The paper deals with the synchronization mechanism among the servers of a federation of distributed repositories for the constant updating of the didactic-scientific material, its properties and its locations ...
Thanks are due also to EGI and IGI and the related COMPCHEM VO for the use of Grid resources. ...
doi:10.1007/978-3-319-62398-6_2
fatcat:csnfp3qn55edblzspfqsddgtma
Top-k Linked Data Query Processing
[chapter]
2012
Lecture Notes in Computer Science
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One line of research targets the so-called top-k join problem, where the k best final results are obtained through joining partial results. ...
Further, we elaborate on strategies for a better estimation of scores of unprocessed join results (to obtain tighter bounds for early termination) and for an aggressive pruning of partial results. ...
Conclusion We discussed how existing top-k join techniques can be adapted to the Linked Data context. ...
doi:10.1007/978-3-642-30284-8_11
fatcat:w74pjfkobnhktfijhsz45fsasq
Page 62 of Manufacturing Engineering Vol. 10, Issue 1
[page]
1941
Manufacturing Engineering
Preserved Fulltext
The Internet Archive has digitized a microfilm copy of this work. It may be possible to borrow a copy for reading.
The featured speaker of the evening was none other than the famed Professor Oaks of Waukesha, Wis- consin, the expert on progress and in- vention. ...
The major worry of the Chapter, as it looks ahead to a new year, will be that of the accommodation of an increased crowd which will wish to
{Continued on following page!
THE TOOL ENGINEER ...
Everything you always wanted to know about compiled and vectorized queries but were afraid to ask
2018
Proceedings of the VLDB Endowment
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These two state-of-the-art query processing paradigms are fundamentally different in terms of system structure and query execution code. Both paradigms were used to build fast systems. ...
The query engines of most modern database systems are either based on vectorization or data-centric code generation. ...
We would like to thank Orri Erling for explaining Virtuoso's vectorized push model and the anonymous reviewers for their valuable feedback. ...
doi:10.14778/3275366.3275370
fatcat:bkugfkbgtnhdhcr6oeyof4baj4
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