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Ringo

Yonathan Perez, Rok Sosič, Arijit Banerjee, Rohan Puttagunta, Martin Raison, Pararth Shah, Jure Leskovec
<span title="">2015</span> <i title="ACM Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/vxrc3vebzzachiwy3nopwi3h5u" style="color: black;">Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data - SIGMOD &#39;15</a> </i> &nbsp;
We show that a single big-memory machine provides a very attractive platform for performing analytics on all but the largest graphs as it offers excellent performance and ease of use as compared to alternative  ...  In building Ringo, we take advantage of the fact that machines with large memory and many cores are widely available and also relatively affordable.  ...  Big-memory machines provide a viable platform for interactive graph analytics. Large RAM on such machines can deliver fast random access, required by graph algorithms.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2723372.2735369">doi:10.1145/2723372.2735369</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/27081215">pmid:27081215</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC4829061/">pmcid:PMC4829061</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/sigmod/PerezSBPRSL15.html">dblp:conf/sigmod/PerezSBPRSL15</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/neyre5grrzcuveyk2pgnfd3ewy">fatcat:neyre5grrzcuveyk2pgnfd3ewy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20150620000325/http://cs.stanford.edu/people/jure/pubs/ringo-sigmod15.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/7f/59/7f598b081df60565014cd943e4512710b682b734.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2723372.2735369"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4829061" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

An analysis of the graph processing landscape

Miguel E. Coimbra, Alexandre P. Francisco, Luís Veiga
<span title="2021-04-09">2021</span> <i title="Springer Science and Business Media LLC"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/pkhnkszyprhb3orbf6g7tqmgiu" style="color: black;">Journal of Big Data</a> </i> &nbsp;
AbstractThe value of graph-based big data can be unlocked by exploring the topology and metrics of the networks they represent, and the computational approaches to this exploration take on many forms.  ...  For these systems focused on processing the bulk of graph elements, common use-cases consist in executing for example algorithms for vertex ranking or community detection, which produce insights on graph  ...  Ringo [122] is an approach for multi-core single-machine big-memory configurations.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1186/s40537-021-00443-9">doi:10.1186/s40537-021-00443-9</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/33850687">pmid:33850687</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC8033100/">pmcid:PMC8033100</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/vnwcn2pwszhv3detnwcv6jrthu">fatcat:vnwcn2pwszhv3detnwcv6jrthu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210414090750/https://journalofbigdata.springeropen.com/track/pdf/10.1186/s40537-021-00443-9.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/17/44/174431e6440cac14422393f591d4a47c0b5cbe71.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1186/s40537-021-00443-9"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> springer.com </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8033100" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

An analysis of the graph processing landscape [article]

Miguel E. Coimbra, Alexandre P. Francisco, Luís Veiga
<span title="2021-02-16">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
The value of graph-based big data can be unlocked by exploring the topology and metrics of the networks they represent, and the computational approaches to this exploration take on many forms.  ...  The use-case of performing global computations over a graph, it is first ingested into a graph processing system from one of many digital representations.  ...  . • Ringo [225] is an approach for multi-core singlemachine big-memory setups.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1911.11624v3">arXiv:1911.11624v3</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/t44dfa5cvfbk7exz4s2synm5z4">fatcat:t44dfa5cvfbk7exz4s2synm5z4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210218020007/https://arxiv.org/pdf/1911.11624v3.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/fa/bb/fabb35805aa532ccf095624ce11dfa308030e566.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1911.11624v3" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Empowering In-Memory Relational Database Engines with Native Graph Processing [article]

Mohamed S. Hassan, Tatiana Kuznetsova, Hyun Chai Jeong, Walid G. Aref, Mohammad Sadoghi
<span title="2017-10-12">2017</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
In this paper, we propose to treat graphs as first-class citizens inside the relational engine so that operations on graphs are executed natively inside the RDBMS.  ...  We realize our approach inside VoltDB, an open-source in-memory relational database, and name this realization GRFusion.  ...  Ringo extracts a graph from a relational storage into an in-memory graph structure, where several analytical graph functions are provided that process the inmemory graph.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1709.06715v2">arXiv:1709.06715v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/4aixbow4hnafjluluqguztx2eq">fatcat:4aixbow4hnafjluluqguztx2eq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20191023071938/https://arxiv.org/pdf/1709.06715v2.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/5b/d7/5bd786a9e2e651030c4ad97e2e69845889e7a115.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1709.06715v2" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Graph-based exploration of non-graph datasets

Udayan Khurana, Srinivasan Parthasarathy, Deepak Turaga
<span title="2016-09-01">2016</span> <i title="VLDB Endowment"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/p6rqwwpkkjbcldejepcehaalby" style="color: black;">Proceedings of the VLDB Endowment</a> </i> &nbsp;
It automatically discovers relevant graphs implicit within a given non-graph dataset using a set of novel rulebased and data-driven techniques, and optimizes their extraction and storage.  ...  The effort and skill required in identifying and extracting the relevant graph representation from data is often the prohibitive and limits a wider adoption of graph-based analysis of nongraph data.  ...  Of hammers and nails: An empirical comparison of three paradigms for processing large graphs. In WSDM, 2012. [8] Y. Perez et al. Ringo: Interactive graph analytics on big-memory machines.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.14778/3007263.3007308">doi:10.14778/3007263.3007308</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/osz2f2axljdupmnihuolyb5l7y">fatcat:osz2f2axljdupmnihuolyb5l7y</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190220194210/http://pdfs.semanticscholar.org/2722/ccb44558176b392b4e64606094aaa060827a.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/27/22/2722ccb44558176b392b4e64606094aaa060827a.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.14778/3007263.3007308"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Big Graph : Tools, Techniques, Issues, Challenges and Future Directions

Dhananjay Kumar Singh, Ripon Patgiri
<span title="2016-07-23">2016</span> <i title="Academy &amp; Industry Research Collaboration Center (AIRCC)"> Computer Science &amp; Information Technology ( CS &amp; IT ) </i> &nbsp; <span class="release-stage">unpublished</span>
Nowadays, graphs with billions of nodes and trillions of edges have become very common. In principle, graph analytics is an important big data discovery technique.  ...  Therefore, with the increasing abundance of large scale graphs, designing scalable systems for processing and analyzing large scale graphs has become one of the timeliest problems facing the big data research  ...  SSD-Based Big Graph Analytics FlashGraph: It stores vertex state in memory and edge lists on SSDs.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5121/csit.2016.60911">doi:10.5121/csit.2016.60911</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/jl2lduqe5nbuxgfmjg4mkidh7e">fatcat:jl2lduqe5nbuxgfmjg4mkidh7e</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180602085832/https://airccj.org/CSCP/vol6/csit65611.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/05/e4/05e4bb2c1ae4734a8a6923113131b4fdd1145023.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5121/csit.2016.60911"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

The Big Promise of Recommender Systems

Francisco J. Martin, Justin Donaldson, Adam Ashenfelter, Marc Torrens, Rick Hangartner
<span title="2011-06-05">2011</span> <i title="Association for the Advancement of Artificial Intelligence (AAAI)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/27wksbinzzhjfow2wuy6m2iefm" style="color: black;">The AI Magazine</a> </i> &nbsp;
Thus we believe that the big promise of recommender systems has yet to be fulfilled.  ...  We foresee a third wave of recommender systems that act directly on behalf of their users across a range of domains instead of acting as a sales assistant.  ...  This opportunity led to the development and adoption of techniques that minimized the number of explicit interactions to train a recommender, similar to the approach introduced by the experimental Ringo  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1609/aimag.v32i3.2360">doi:10.1609/aimag.v32i3.2360</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/joudg32tdzflrgj7ck6ac67idq">fatcat:joudg32tdzflrgj7ck6ac67idq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20151020063920/http://www.aaai.org/ojs/index.php/aimagazine/article/download/2360/2232" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/66/b5/66b56f289eb48aa73571bc62857e6b22704eb9ae.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1609/aimag.v32i3.2360"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Micro benchmark analysis of the KSR1

R. H. Saavedra, R. S. Gaines, M. J. Carlton
<span title="">1993</span> <i title="ACM Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/zigbcra6rjdivda6lkzknwuo5q" style="color: black;">Proceedings of the 1993 ACM/IEEE conference on Supercomputing - Supercomputing &#39;93</a> </i> &nbsp;
As with any parallel machine, the performance of parallel applications will depend on the degree and form of interactions between computations running on separate nodes of the machine.  ...  Cache misses satisfied in local ringO are shown. Fig.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/169627.169695">doi:10.1145/169627.169695</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/sc/SaavedraGC93.html">dblp:conf/sc/SaavedraGC93</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ti2vaz6m6zet7axb22kobqdnoq">fatcat:ti2vaz6m6zet7axb22kobqdnoq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170924111247/http://www.dtic.mil/get-tr-doc/pdf?AD=ADA292363" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/79/84/79840a9b66e1efb720c598ab2682ded598093d27.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/169627.169695"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>

A Comparative Study of Tracking Moving Objects in videos

<span title="2016-09-30">2016</span> <i title="SoftwareFirst, Ltd."> International Journal of Computer Science Issues </i> &nbsp;
Recommender Systems too can also be used to analyze Big Data, although there are some key challenges associated with Big Data analytics.  ...  At the forefront are the rapidly advancing techniques of artificial intelligence like natural-language processing, pattern recognition and machine learning.  ...  The high speed and scalability of algorithms built on this system is good because it is embedded on Spark memory.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.20943/01201605.108119">doi:10.20943/01201605.108119</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/fzkufnynmfhlfje75thofvup7a">fatcat:fzkufnynmfhlfje75thofvup7a</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170922004801/http://ijcsi.org/papers/IJCSI-13-5-1-10.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/c2/91/c2916b5a20d4d6e3388e95aadf87de5cba5f4812.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.20943/01201605.108119"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Recommender systems: an overview, research trends, and future directions

Pradeep Kumar Singh, Pijush Kanti Dutta Pramanik, Avick Kumar Dey, Prasenjit Choudhury
<span title="">2021</span> <i title="Inderscience Publishers"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/vdnbkugsqzgxdoue5jozvztlsa" style="color: black;">International Journal of Business and Systems Research</a> </i> &nbsp;
This paper provides a comprehensive study on the RS covering the different recommendation approaches, associated issues, and techniques used for information retrieval.  ...  For example, the graph shows that China has published a maximum number of papers on RSs (based on collected papers) and most of them are focussed on CF.  ...  existing interactive RSs.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1504/ijbsr.2021.111753">doi:10.1504/ijbsr.2021.111753</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/qdn65wazuvdhhbentdlncf5zde">fatcat:qdn65wazuvdhhbentdlncf5zde</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220303200832/http://www.inderscience.com/storage/f521241161973810.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/b6/ce/b6ce794a104bbc28de7a52d0b5fbe25ed1203576.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1504/ijbsr.2021.111753"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Six Septembers: Mathematics for the Humanist

Patrick Juola, Stephen Ramsay
<span title="2017-03-16">2017</span> <i title="University of Nebraska Consortium of Libraries - UNCL"> Zea Books </i> &nbsp;
So instead of writing out that "Ringo is an element of the set {John, Paul, George, Ringo}," one can simply write "Ringo ∈ B." The symbol ∈ means "is not an element of."  ...  Such a rule can be used in one of two ways. First, it can be used, once again, as a truth-making machine.  ...  As a working assumption, the time it takes to 413 A Quick Review of Secondary-School Algebra dig a hole depends on how big the hole is-a hole twice as big takes twice as long. 2.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.13014/k2d21vhx">doi:10.13014/k2d21vhx</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/uq6xn4pssfhhlmzygycheldp6q">fatcat:uq6xn4pssfhhlmzygycheldp6q</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20181207190356/http://digitalcommons.unl.edu:80/cgi/viewcontent.cgi?article=1055&amp;context=zeabook" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/89/ba/89baf1fe9b53fc80ef68b49bb82c14928d54de1a.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.13014/k2d21vhx"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Searching and mining the web for personalized and specialized information

Michael Chau
<span title="2005-06-01">2005</span> <i title="Association for Computing Machinery (ACM)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/emlsu7gwyfalfms3c35odq5qlm" style="color: black;">SIGIR Forum</a> </i> &nbsp;
Because the software runs on the client machine, more CPU time and memory can be allocated to the search process and more functionalities are possible.  ...  As Web agents usually run on the client machine, more CPU time and memory can be allocated to the search process and more functionalities eire possible.  ...  Post-Search Questionnaire Part A Manual Browsing Please evaluate the IR system on the following dimensions: 1. How easy / difficult is it to locate useful information when manually browsing a site?  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/1067268.1067288">doi:10.1145/1067268.1067288</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/5cpukrur6fcbdhpl54qxygtbxe">fatcat:5cpukrur6fcbdhpl54qxygtbxe</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170817024733/http://arizona.openrepository.com/arizona/bitstream/10150/280260/1/azu_td_3089915_sip1_m.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/fd/90/fd908bb891578adb3a4f02d1e188f809d5ac893e.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/1067268.1067288"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> acm.org </button> </a>

Architecting Query Compilers for Diverse Workloads

Ruby Y Tahboub
<span title="2019-04-26">2019</span>
Several spatial and graph engines are implemented as extensions to relational query engines to leverage optimized memory, storage, and evaluation.  ...  On that basis, compiling spatial and graph queries to native code is a desirable avenue to mitigate existing limitations and improve performance.  ...  INTRODUCTION The era of modern hardware and big data analytics has changed the dynamics in which data is processed and managed.  ... 
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<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200229192933/https://s3-eu-west-1.amazonaws.com/pstorage-purdue-258596361474/14993402/thesis_embedded_fonts_3.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/fa/d7/fad7110f8eceedba17f392801e61ed6ae2f01cdf.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.25394/pgs.8044784"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

OPEN PROPOSAL: MISSION ATLANTIC Objectives, Impact Pathways, WorkPlan, Deliverables & Consortium [article]

Patrizio Mariani, Michael St John, Ivo Grigorov
<span title="2020-10-01">2020</span> <i title="Zenodo"> Zenodo </i> &nbsp;
Regional stakeholder platforms are established to support the IEAs and the interactions between researchers, industries, policy makers and authorities across the Atlantic.  ...  The project employs all available information on those sources, the pressures they impose and the ecosystem components are affected, to identify the most important risk factors influencing sustainable  ...  These developments will facilitate and improve access to big data in MISSION ATLANTIC which will move beyond the state of the art by advancing machine learning techniques for extracting data from big data  ... 
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Connectionist modelling in psychology: A localist manifesto

Mike Page
<span title="">2000</span> <i title="Cambridge University Press (CUP)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/x2ambsfei5cjthmwpdat4t5jza" style="color: black;">Behavioral and Brain Sciences</a> </i> &nbsp;
In particular, many conclusions about connectionist representation, based on neuroscientific observation, can be called into question.  ...  (1995) attempt to explain how interactions between the hippocampus and neocortex may control learning and memory.  ...  On the face of it, using the representations in Figure 1a , the pattern for John and George will be the same as that for Paul and Ringo.  ... 
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