English 238 (F 2019) – Bibliography for Class 5

Bibliography for English 238 (F 2019) — Class 5


The following is the part of the English 238 bibliography relevant to this class. (Also see: full course bibliography | bibliographies for topics)

2356229 Class5 1 chicago-fullnote-bibliography 50 creator asc 1 1 1 2851 https://alanyliu.org/wp-content/plugins/zotpress/
%7B%22status%22%3A%22success%22%2C%22updateneeded%22%3Afalse%2C%22instance%22%3Afalse%2C%22meta%22%3A%7B%22request_last%22%3A0%2C%22request_next%22%3A0%2C%22used_cache%22%3Atrue%7D%2C%22data%22%3A%5B%7B%22key%22%3A%22KPINQ9DY%22%2C%22library%22%3A%7B%22id%22%3A2356229%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Blanchette%22%2C%22parsedDate%22%3A%222012%22%2C%22numChildren%22%3A0%7D%2C%22bib%22%3A%22%26lt%3Bdiv%20class%3D%26quot%3Bcsl-bib-body%26quot%3B%20style%3D%26quot%3Bline-height%3A%201.35%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%26quot%3B%26gt%3B%5Cn%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-entry%26quot%3B%26gt%3BBlanchette%2C%20Jean-Fran%26%23xE7%3Bois.%20%26%23x201C%3BComputing%20As%20If%20Infrastructure%20Mattered.%26%23x201D%3B%20%26lt%3Bi%26gt%3BCommun.%20ACM%26lt%3B%5C%2Fi%26gt%3B%2055%2C%20no.%2010%20%282012%29%3A%2032%26%23x2013%3B34.%20%26lt%3Ba%20class%3D%26%23039%3Bzp-DOIURL%26%23039%3B%20href%3D%26%23039%3Bhttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1145%5C%2F2347736.2347748%26%23039%3B%26gt%3Bhttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1145%5C%2F2347736.2347748%26lt%3B%5C%2Fa%26gt%3B.%20%26lt%3Ba%20title%3D%26%23039%3BCite%20in%20RIS%20Format%26%23039%3B%20class%3D%26%23039%3Bzp-CiteRIS%26%23039%3B%20data-zp-cite%3D%26%23039%3Bapi_user_id%3D2356229%26amp%3Bitem_key%3DKPINQ9DY%26%23039%3B%20href%3D%26%23039%3Bjavascript%3Avoid%280%29%3B%26%23039%3B%26gt%3BCite%26lt%3B%5C%2Fa%26gt%3B%20%26lt%3B%5C%2Fdiv%26gt%3B%5Cn%26lt%3B%5C%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Computing%20As%20if%20Infrastructure%20Mattered%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Jean-Fran%5Cu00e7ois%22%2C%22lastName%22%3A%22Blanchette%22%7D%5D%2C%22abstractNote%22%3A%22Understanding%20the%20technical%20and%20social%20fundamentals%20of%20the%20computing%20infrastructure%20is%20essential%20in%20the%20continuously%20evolving%20technological%20realm.%22%2C%22date%22%3A%222012%22%2C%22section%22%3A%22%22%2C%22partNumber%22%3A%22%22%2C%22partTitle%22%3A%22%22%2C%22DOI%22%3A%2210.1145%5C%2F2347736.2347748%22%2C%22citationKey%22%3A%22%22%2C%22url%22%3A%22http%3A%5C%2F%5C%2Fdoi.acm.org%5C%2F10.1145%5C%2F2347736.2347748%22%2C%22PMID%22%3A%22%22%2C%22PMCID%22%3A%22%22%2C%22ISSN%22%3A%220001-0782%22%2C%22language%22%3A%22en%22%2C%22collections%22%3A%5B%5D%2C%22dateModified%22%3A%222019-08-14T05%3A59%3A25Z%22%7D%7D%2C%7B%22key%22%3A%22TCLNPICS%22%2C%22library%22%3A%7B%22id%22%3A2356229%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Jones%22%2C%22parsedDate%22%3A%222017%22%2C%22numChildren%22%3A0%7D%2C%22bib%22%3A%22%26lt%3Bdiv%20class%3D%26quot%3Bcsl-bib-body%26quot%3B%20style%3D%26quot%3Bline-height%3A%201.35%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%26quot%3B%26gt%3B%5Cn%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-entry%26quot%3B%26gt%3BJones%2C%20Matthew%20L.%20%26%23x201C%3BQuerying%20the%20Archive%3A%20Data%20Mining%20from%20Apriori%20to%20PageRank.%26%23x201D%3B%20In%20%26lt%3Bi%26gt%3BScience%20in%20the%20Archives%3A%20Pasts%2C%20Presents%2C%20Futures%26lt%3B%5C%2Fi%26gt%3B%2C%20311%26%23x2013%3B28.%20Chicago%3A%20University%20of%20Chicago%20Press%2C%202017.%20%26lt%3Ba%20class%3D%26%23039%3Bzp-ItemURL%26%23039%3B%20href%3D%26%23039%3Bhttp%3A%5C%2F%5C%2Fwww.columbia.edu%5C%2F~mj340%5C%2Fjones_2017_querying.pdf%26%23039%3B%26gt%3Bhttp%3A%5C%2F%5C%2Fwww.columbia.edu%5C%2F~mj340%5C%2Fjones_2017_querying.pdf%26lt%3B%5C%2Fa%26gt%3B.%20%26lt%3Ba%20title%3D%26%23039%3BCite%20in%20RIS%20Format%26%23039%3B%20class%3D%26%23039%3Bzp-CiteRIS%26%23039%3B%20data-zp-cite%3D%26%23039%3Bapi_user_id%3D2356229%26amp%3Bitem_key%3DTCLNPICS%26%23039%3B%20href%3D%26%23039%3Bjavascript%3Avoid%280%29%3B%26%23039%3B%26gt%3BCite%26lt%3B%5C%2Fa%26gt%3B%20%26lt%3B%5C%2Fdiv%26gt%3B%5Cn%26lt%3B%5C%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22bookSection%22%2C%22title%22%3A%22Querying%20the%20Archive%3A%20Data%20Mining%20from%20Apriori%20to%20PageRank%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Matthew%20L.%22%2C%22lastName%22%3A%22Jones%22%7D%5D%2C%22abstractNote%22%3A%22%5BFifth%20paragraph%5D%3A%20This%20chapter%20focuses%20on%20two%20centers%20of%20tremendous%20activity%20in%20mining%20databases%2C%20just%20down%20the%20road%20from%20each%20other%3A%20the%20data%20mining%20group%20at%20Stanford%20and%20IBM%5Cu2019s%20Almaden%20research%20center%20in%20San%20Jos%5Cu00e9.%20While%20the%20technical%20means%20for%20contending%20with%20the%20scale%20of%20the%20archive%20remained%20underdetermined%2C%20the%20creators%20of%20data%20mining%20offered%20powerful%20technological%20determinist%20narratives%20holding%20that%20contending%20with%20great%20volumes%20of%20data%20requires%20the%20development%20of%20new%20algorithms%2C%20the%20loosening%20of%20traditional%20account%20of%20statistical%20rigor%2C%20the%20creation%20of%20new%20epistemic%20virtues%2C%20and%20the%20creation%20of%20new%20experts.%20The%20challenging%20materiality%20of%20corporate%20and%20government%20digital%20archives%20came%20to%20justify%20fundamental%20transformations%20in%20practices%20and%20values%3A%20new%20tools%20for%20automation%20that%20demanded%20heightened%20skills%20in%20data%20cleaning%20and%20%5Cu201cmunging%5Cu201d%20and%20alternative%20forms%20of%20algorithmic%20judgment.%20The%20sheer%20scale%20of%20data%20was%20held%20to%20demand%5Cu2014%20and%20to%20justify%5Cu2014%20new%20forms%20of%20scientific%20knowledge%2C%20at%20times%20in%20conflict%20with%20long-%20held%20views%20of%20statistical%20rigor.%22%2C%22bookTitle%22%3A%22Science%20in%20the%20Archives%3A%20Pasts%2C%20Presents%2C%20Futures%22%2C%22date%22%3A%222017%22%2C%22originalDate%22%3A%22%22%2C%22originalPublisher%22%3A%22%22%2C%22originalPlace%22%3A%22%22%2C%22format%22%3A%22%22%2C%22ISBN%22%3A%22%22%2C%22DOI%22%3A%22%22%2C%22citationKey%22%3A%22%22%2C%22url%22%3A%22http%3A%5C%2F%5C%2Fwww.columbia.edu%5C%2F~mj340%5C%2Fjones_2017_querying.pdf%22%2C%22ISSN%22%3A%22%22%2C%22language%22%3A%22en%22%2C%22collections%22%3A%5B%5D%2C%22dateModified%22%3A%222019-08-13T21%3A50%3A36Z%22%7D%7D%2C%7B%22key%22%3A%22AE8Q2CUC%22%2C%22library%22%3A%7B%22id%22%3A2356229%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Mattern%22%2C%22parsedDate%22%3A%222017%22%2C%22numChildren%22%3A0%7D%2C%22bib%22%3A%22%26lt%3Bdiv%20class%3D%26quot%3Bcsl-bib-body%26quot%3B%20style%3D%26quot%3Bline-height%3A%201.35%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%26quot%3B%26gt%3B%5Cn%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-entry%26quot%3B%26gt%3BMattern%2C%20Shannon.%20%26%23x201C%3BThe%20Big%20Data%20of%20Ice%2C%20Rocks%2C%20Soils%2C%20and%20Sediments.%26%23x201D%3B%20%26lt%3Bi%26gt%3BPlaces%20Journal%26lt%3B%5C%2Fi%26gt%3B%2C%202017.%20%26lt%3Ba%20class%3D%26%23039%3Bzp-DOIURL%26%23039%3B%20href%3D%26%23039%3Bhttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.22269%5C%2F171107%26%23039%3B%26gt%3Bhttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.22269%5C%2F171107%26lt%3B%5C%2Fa%26gt%3B.%20%26lt%3Ba%20title%3D%26%23039%3BCite%20in%20RIS%20Format%26%23039%3B%20class%3D%26%23039%3Bzp-CiteRIS%26%23039%3B%20data-zp-cite%3D%26%23039%3Bapi_user_id%3D2356229%26amp%3Bitem_key%3DAE8Q2CUC%26%23039%3B%20href%3D%26%23039%3Bjavascript%3Avoid%280%29%3B%26%23039%3B%26gt%3BCite%26lt%3B%5C%2Fa%26gt%3B%20%26lt%3B%5C%2Fdiv%26gt%3B%5Cn%26lt%3B%5C%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22The%20Big%20Data%20of%20Ice%2C%20Rocks%2C%20Soils%2C%20and%20Sediments%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Shannon%22%2C%22lastName%22%3A%22Mattern%22%7D%5D%2C%22abstractNote%22%3A%22Inside%20the%20material%20archives%20of%20climate%20science%2C%20which%20get%20wilder%20and%20dirtier%20the%20deeper%20you%20go.%22%2C%22date%22%3A%222017%22%2C%22section%22%3A%22%22%2C%22partNumber%22%3A%22%22%2C%22partTitle%22%3A%22%22%2C%22DOI%22%3A%2210.22269%5C%2F171107%22%2C%22citationKey%22%3A%22%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Fplacesjournal.org%5C%2Farticle%5C%2Fthe-big-data-of-ice-rocks-soils-and-sediments%5C%2F%22%2C%22PMID%22%3A%22%22%2C%22PMCID%22%3A%22%22%2C%22ISSN%22%3A%22%22%2C%22language%22%3A%22en%22%2C%22collections%22%3A%5B%5D%2C%22dateModified%22%3A%222019-08-13T21%3A50%3A47Z%22%7D%7D%2C%7B%22key%22%3A%22A5G8JDZG%22%2C%22library%22%3A%7B%22id%22%3A2356229%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Najafabadi%20et%20al.%22%2C%22parsedDate%22%3A%222015%22%2C%22numChildren%22%3A1%7D%2C%22bib%22%3A%22%26lt%3Bdiv%20class%3D%26quot%3Bcsl-bib-body%26quot%3B%20style%3D%26quot%3Bline-height%3A%201.35%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%26quot%3B%26gt%3B%5Cn%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-entry%26quot%3B%26gt%3BNajafabadi%2C%20Maryam%20M.%2C%20Flavio%20Villanustre%2C%20Taghi%20M.%20Khoshgoftaar%2C%20Naeem%20Seliya%2C%20Randall%20Wald%2C%20and%20Edin%20Muharemagic.%20%26%23x201C%3BDeep%20Learning%20Applications%20and%20Challenges%20in%20Big%20Data%20Analytics.%26%23x201D%3B%20%26lt%3Bi%26gt%3BJournal%20of%20Big%20Data%26lt%3B%5C%2Fi%26gt%3B%202%2C%20no.%201%20%282015%29%3A%201.%20%26lt%3Ba%20class%3D%26%23039%3Bzp-ItemURL%26%23039%3B%20href%3D%26%23039%3Bhttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1186%5C%2Fs40537-014-0007-7%26%23039%3B%26gt%3Bhttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1186%5C%2Fs40537-014-0007-7%26lt%3B%5C%2Fa%26gt%3B.%20%26lt%3Ba%20title%3D%26%23039%3BCite%20in%20RIS%20Format%26%23039%3B%20class%3D%26%23039%3Bzp-CiteRIS%26%23039%3B%20data-zp-cite%3D%26%23039%3Bapi_user_id%3D2356229%26amp%3Bitem_key%3DA5G8JDZG%26%23039%3B%20href%3D%26%23039%3Bjavascript%3Avoid%280%29%3B%26%23039%3B%26gt%3BCite%26lt%3B%5C%2Fa%26gt%3B%20%26lt%3B%5C%2Fdiv%26gt%3B%5Cn%26lt%3B%5C%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Deep%20learning%20applications%20and%20challenges%20in%20big%20data%20analytics%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Maryam%20M.%22%2C%22lastName%22%3A%22Najafabadi%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Flavio%22%2C%22lastName%22%3A%22Villanustre%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Taghi%20M.%22%2C%22lastName%22%3A%22Khoshgoftaar%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Naeem%22%2C%22lastName%22%3A%22Seliya%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Randall%22%2C%22lastName%22%3A%22Wald%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Edin%22%2C%22lastName%22%3A%22Muharemagic%22%7D%5D%2C%22abstractNote%22%3A%22Big%20Data%20Analytics%20and%20Deep%20Learning%20are%20two%20high-focus%20of%20data%20science.%20Big%20Data%20has%20become%20important%20as%20many%20organizations%20both%20public%20and%20private%20have%20been%20collecting%20massive%20amounts%20of%20domain-specific%20information%2C%20which%20can%20contain%20useful%20information%20about%20problems%20such%20as%20national%20intelligence%2C%20cyber%20security%2C%20fraud%20detection%2C%20marketing%2C%20and%20medical%20informatics.%20Companies%20such%20as%20Google%20and%20Microsoft%20are%20analyzing%20large%20volumes%20of%20data%20for%20business%20analysis%20and%20decisions%2C%20impacting%20existing%20and%20future%20technology.%20Deep%20Learning%20algorithms%20extract%20high-level%2C%20complex%20abstractions%20as%20data%20representations%20through%20a%20hierarchical%20learning%20process.%20Complex%20abstractions%20are%20learnt%20at%20a%20given%20level%20based%20on%20relatively%20simpler%20abstractions%20formulated%20in%20the%20preceding%20level%20in%20the%20hierarchy.%20A%20key%20benefit%20of%20Deep%20Learning%20is%20the%20analysis%20and%20learning%20of%20massive%20amounts%20of%20unsupervised%20data%2C%20making%20it%20a%20valuable%20tool%20for%20Big%20Data%20Analytics%20where%20raw%20data%20is%20largely%20unlabeled%20and%20un-categorized.%20In%20the%20present%20study%2C%20we%20explore%20how%20Deep%20Learning%20can%20be%20utilized%20for%20addressing%20some%20important%20problems%20in%20Big%20Data%20Analytics%2C%20including%20extracting%20complex%20patterns%20from%20massive%20volumes%20of%20data%2C%20semantic%20indexing%2C%20data%20tagging%2C%20fast%20information%20retrieval%2C%20and%20simplifying%20discriminative%20tasks.%20We%20also%20investigate%20some%20aspects%20of%20Deep%20Learning%20research%20that%20need%20further%20exploration%20to%20incorporate%20specific%20challenges%20introduced%20by%20Big%20Data%20Analytics%2C%20including%20streaming%20data%2C%20high-dimensional%20data%2C%20scalability%20of%20models%2C%20and%20distributed%20computing.%20We%20conclude%20by%20presenting%20insights%20into%20relevant%20future%20works%20by%20posing%20some%20questions%2C%20including%20defining%20data%20sampling%20criteria%2C%20domain%20adaptation%20modeling%2C%20defining%20criteria%20for%20obtaining%20useful%20data%20abstractions%2C%20improving%20semantic%20indexing%2C%20semi-supervised%20learning%2C%20and%20active%20learning.%22%2C%22date%22%3A%222015%22%2C%22section%22%3A%22%22%2C%22partNumber%22%3A%22%22%2C%22partTitle%22%3A%22%22%2C%22DOI%22%3A%2210.1186%5C%2Fs40537-014-0007-7%22%2C%22citationKey%22%3A%22%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1186%5C%2Fs40537-014-0007-7%22%2C%22PMID%22%3A%22%22%2C%22PMCID%22%3A%22%22%2C%22ISSN%22%3A%222196-1115%22%2C%22language%22%3A%22en%22%2C%22collections%22%3A%5B%5D%2C%22dateModified%22%3A%222020-08-23T21%3A46%3A23Z%22%7D%7D%2C%7B%22key%22%3A%22TU5UNTJZ%22%2C%22library%22%3A%7B%22id%22%3A2356229%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Pasek%22%2C%22parsedDate%22%3A%222019%22%2C%22numChildren%22%3A0%7D%2C%22bib%22%3A%22%26lt%3Bdiv%20class%3D%26quot%3Bcsl-bib-body%26quot%3B%20style%3D%26quot%3Bline-height%3A%201.35%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%26quot%3B%26gt%3B%5Cn%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-entry%26quot%3B%26gt%3BPasek%2C%20Anne.%20%26%23x201C%3BManaging%20Carbon%20and%20Data%20Flows%3A%20Fungible%20Forms%20of%20Mediation%20in%20the%20Cloud.%26%23x201D%3B%20%26lt%3Bi%26gt%3BCulture%20Machine%26lt%3B%5C%2Fi%26gt%3B%2C%202019.%20%26lt%3Ba%20class%3D%26%23039%3Bzp-ItemURL%26%23039%3B%20href%3D%26%23039%3Bhttps%3A%5C%2F%5C%2Fculturemachine.net%5C%2Fvol-18-the-nature-of-data-centers%5C%2Fmanaging-carbon%5C%2F%26%23039%3B%26gt%3Bhttps%3A%5C%2F%5C%2Fculturemachine.net%5C%2Fvol-18-the-nature-of-data-centers%5C%2Fmanaging-carbon%5C%2F%26lt%3B%5C%2Fa%26gt%3B.%20%26lt%3Ba%20title%3D%26%23039%3BCite%20in%20RIS%20Format%26%23039%3B%20class%3D%26%23039%3Bzp-CiteRIS%26%23039%3B%20data-zp-cite%3D%26%23039%3Bapi_user_id%3D2356229%26amp%3Bitem_key%3DTU5UNTJZ%26%23039%3B%20href%3D%26%23039%3Bjavascript%3Avoid%280%29%3B%26%23039%3B%26gt%3BCite%26lt%3B%5C%2Fa%26gt%3B%20%26lt%3B%5C%2Fdiv%26gt%3B%5Cn%26lt%3B%5C%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Managing%20Carbon%20and%20Data%20Flows%3A%20Fungible%20Forms%20of%20Mediation%20in%20the%20Cloud%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Anne%22%2C%22lastName%22%3A%22Pasek%22%7D%5D%2C%22abstractNote%22%3A%22Abstract%5Cu00a0%20A%20recurring%20feature%20in%20images%20and%20imaginations%20of%20the%20data%20center%20is%20the%20complete%20absence%20of%20human%20beings.%20Drawing%20from%20ethnographic%20fieldwork%20conducted%20in%20the%20data%20center%20industry%2C%20this%20%5Cu2026%22%2C%22date%22%3A%222019%22%2C%22section%22%3A%22%22%2C%22partNumber%22%3A%22%22%2C%22partTitle%22%3A%22%22%2C%22DOI%22%3A%22%22%2C%22citationKey%22%3A%22%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Fculturemachine.net%5C%2Fvol-18-the-nature-of-data-centers%5C%2Fmanaging-carbon%5C%2F%22%2C%22PMID%22%3A%22%22%2C%22PMCID%22%3A%22%22%2C%22ISSN%22%3A%22%22%2C%22language%22%3A%22en%22%2C%22collections%22%3A%5B%5D%2C%22dateModified%22%3A%222019-08-14T06%3A33%3A52Z%22%7D%7D%2C%7B%22key%22%3A%22ECF7IJT3%22%2C%22library%22%3A%7B%22id%22%3A2356229%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Star%22%2C%22parsedDate%22%3A%221999%22%2C%22numChildren%22%3A0%7D%2C%22bib%22%3A%22%26lt%3Bdiv%20class%3D%26quot%3Bcsl-bib-body%26quot%3B%20style%3D%26quot%3Bline-height%3A%201.35%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%26quot%3B%26gt%3B%5Cn%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-entry%26quot%3B%26gt%3BStar%2C%20Susan%20Leigh.%20%26%23x201C%3BThe%20Ethnography%20of%20Infrastructure.%26%23x201D%3B%20%26lt%3Bi%26gt%3BAmerican%20Behavioral%20Scientist%26lt%3B%5C%2Fi%26gt%3B%2043%2C%20no.%203%20%281999%29%3A%20377%26%23x2013%3B91.%20%26lt%3Ba%20class%3D%26%23039%3Bzp-DOIURL%26%23039%3B%20href%3D%26%23039%3Bhttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1177%5C%2F00027649921955326%26%23039%3B%26gt%3Bhttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1177%5C%2F00027649921955326%26lt%3B%5C%2Fa%26gt%3B.%20%26lt%3Ba%20title%3D%26%23039%3BCite%20in%20RIS%20Format%26%23039%3B%20class%3D%26%23039%3Bzp-CiteRIS%26%23039%3B%20data-zp-cite%3D%26%23039%3Bapi_user_id%3D2356229%26amp%3Bitem_key%3DECF7IJT3%26%23039%3B%20href%3D%26%23039%3Bjavascript%3Avoid%280%29%3B%26%23039%3B%26gt%3BCite%26lt%3B%5C%2Fa%26gt%3B%20%26lt%3B%5C%2Fdiv%26gt%3B%5Cn%26lt%3B%5C%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22The%20Ethnography%20of%20Infrastructure%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Susan%20Leigh%22%2C%22lastName%22%3A%22Star%22%7D%5D%2C%22abstractNote%22%3A%22This%20article%20asks%20methodological%20questions%20about%20studying%20infrastructure%20with%20some%20of%20the%20tools%20and%20perspectives%20of%20ethnography.%20Infrastructure%20is%20both%20relational%20and%20ecological-it%20means%20different%20things%20to%20different%20groups%20and%20it%20is%20part%20of%20the%20balance%20of%20action%2C%20tools%2C%20and%20the%20built%20environment%2C%20inseparable%20from%20them.%20It%20also%20is.frequently%20mundane%20to%20the%20point%20of%20boredom%2C%20involving%20things%20such%20as%20plugs%2C%20standards%2C%20and%20bureaucratic.forms.%20Some%20of%20the%20difficulties%20of%20studying%20infrastructure%20are%20how%20to%20scale%20up%20from%20traditional%20ethnographic%20sites%2C%20how%20to%20manage%20large%20quantities%20of%20data%20such%20as%20those%20produced%20by%20transaction%20logs%2C%20and%20how%20to%20understand%20the%20interplay%20of%20online%20and%20ojfiine%20behavior.%20Some%20of%20the%20tricks%20of%20the%20trade%20involved%20in%20meeting%20these%20challenges%20include%20studying%20the%20design%20of%20infrastructure%2C%20understanding%20the%20paradoxes%20%26lt%3B%21f%20infrastructure%20as%20both%20transparent%20and%20opaque%2C%20including%20invisible%20work%20in%20the%20ecological%20analysis%2C%20and%20pinpointing%20the%20epistemological%20status%20of%20indictors.%22%2C%22date%22%3A%221999%22%2C%22section%22%3A%22%22%2C%22partNumber%22%3A%22%22%2C%22partTitle%22%3A%22%22%2C%22DOI%22%3A%2210.1177%5C%2F00027649921955326%22%2C%22citationKey%22%3A%22%22%2C%22url%22%3A%22http%3A%5C%2F%5C%2Fjournals.sagepub.com%5C%2Fdoi%5C%2Fabs%5C%2F10.1177%5C%2F00027649921955326%22%2C%22PMID%22%3A%22%22%2C%22PMCID%22%3A%22%22%2C%22ISSN%22%3A%22%22%2C%22language%22%3A%22en%22%2C%22collections%22%3A%5B%5D%2C%22dateModified%22%3A%222020-08-23T21%3A46%3A55Z%22%7D%7D%2C%7B%22key%22%3A%22S2TPECQX%22%2C%22library%22%3A%7B%22id%22%3A2356229%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Ward%20and%20Barker%22%2C%22parsedDate%22%3A%222013%22%2C%22numChildren%22%3A0%7D%2C%22bib%22%3A%22%26lt%3Bdiv%20class%3D%26quot%3Bcsl-bib-body%26quot%3B%20style%3D%26quot%3Bline-height%3A%201.35%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%26quot%3B%26gt%3B%5Cn%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-entry%26quot%3B%26gt%3BWard%2C%20Jonathan%20Stuart%2C%20and%20Adam%20Barker.%20%26%23x201C%3BUndefined%20By%20Data%3A%20A%20Survey%20of%20Big%20Data%20Definitions.%26%23x201D%3B%20%26lt%3Bi%26gt%3BarXiv%3A1309.5821%20%5BCs%5D%26lt%3B%5C%2Fi%26gt%3B%2C%202013.%20%26lt%3Ba%20class%3D%26%23039%3Bzp-ItemURL%26%23039%3B%20href%3D%26%23039%3Bhttp%3A%5C%2F%5C%2Farxiv.org%5C%2Fabs%5C%2F1309.5821%26%23039%3B%26gt%3Bhttp%3A%5C%2F%5C%2Farxiv.org%5C%2Fabs%5C%2F1309.5821%26lt%3B%5C%2Fa%26gt%3B.%20%26lt%3Ba%20title%3D%26%23039%3BCite%20in%20RIS%20Format%26%23039%3B%20class%3D%26%23039%3Bzp-CiteRIS%26%23039%3B%20data-zp-cite%3D%26%23039%3Bapi_user_id%3D2356229%26amp%3Bitem_key%3DS2TPECQX%26%23039%3B%20href%3D%26%23039%3Bjavascript%3Avoid%280%29%3B%26%23039%3B%26gt%3BCite%26lt%3B%5C%2Fa%26gt%3B%20%26lt%3B%5C%2Fdiv%26gt%3B%5Cn%26lt%3B%5C%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Undefined%20By%20Data%3A%20A%20Survey%20of%20Big%20Data%20Definitions%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Jonathan%20Stuart%22%2C%22lastName%22%3A%22Ward%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Adam%22%2C%22lastName%22%3A%22Barker%22%7D%5D%2C%22abstractNote%22%3A%22The%20term%20big%20data%20has%20become%20ubiquitous.%20Owing%20to%20a%20shared%20origin%20between%20academia%2C%20industry%20and%20the%20media%20there%20is%20no%20single%20unified%20definition%2C%20and%20various%20stakeholders%20provide%20diverse%20and%20often%20contradictory%20definitions.%20The%20lack%20of%20a%20consistent%20definition%20introduces%20ambiguity%20and%20hampers%20discourse%20relating%20to%20big%20data.%20This%20short%20paper%20attempts%20to%20collate%20the%20various%20definitions%20which%20have%20gained%20some%20degree%20of%20traction%20and%20to%20furnish%20a%20clear%20and%20concise%20definition%20of%20an%20otherwise%20ambiguous%20term.%22%2C%22date%22%3A%222013%22%2C%22section%22%3A%22%22%2C%22partNumber%22%3A%22%22%2C%22partTitle%22%3A%22%22%2C%22DOI%22%3A%22%22%2C%22citationKey%22%3A%22%22%2C%22url%22%3A%22http%3A%5C%2F%5C%2Farxiv.org%5C%2Fabs%5C%2F1309.5821%22%2C%22PMID%22%3A%22%22%2C%22PMCID%22%3A%22%22%2C%22ISSN%22%3A%22%22%2C%22language%22%3A%22en%22%2C%22collections%22%3A%5B%5D%2C%22dateModified%22%3A%222019-08-14T06%3A57%3A05Z%22%7D%7D%2C%7B%22key%22%3A%22IVMLZPB3%22%2C%22library%22%3A%7B%22id%22%3A2356229%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Wikipedia%22%2C%22parsedDate%22%3A%222019-02-08%22%2C%22numChildren%22%3A0%7D%2C%22bib%22%3A%22%26lt%3Bdiv%20class%3D%26quot%3Bcsl-bib-body%26quot%3B%20style%3D%26quot%3Bline-height%3A%201.35%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%26quot%3B%26gt%3B%5Cn%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-entry%26quot%3B%26gt%3BWikipedia.%20%26%23x201C%3BLambda%20Architecture.%26%23x201D%3B%20In%20%26lt%3Bi%26gt%3BWikipedia%26lt%3B%5C%2Fi%26gt%3B%2C%20February%208%2C%202019.%20%26lt%3Ba%20class%3D%26%23039%3Bzp-ItemURL%26%23039%3B%20href%3D%26%23039%3Bhttps%3A%5C%2F%5C%2Fen.wikipedia.org%5C%2Fw%5C%2Findex.php%3Ftitle%3DLambda_architecture%26amp%3Boldid%3D882420981%26%23039%3B%26gt%3Bhttps%3A%5C%2F%5C%2Fen.wikipedia.org%5C%2Fw%5C%2Findex.php%3Ftitle%3DLambda_architecture%26amp%3Boldid%3D882420981%26lt%3B%5C%2Fa%26gt%3B.%20%26lt%3Ba%20title%3D%26%23039%3BCite%20in%20RIS%20Format%26%23039%3B%20class%3D%26%23039%3Bzp-CiteRIS%26%23039%3B%20data-zp-cite%3D%26%23039%3Bapi_user_id%3D2356229%26amp%3Bitem_key%3DIVMLZPB3%26%23039%3B%20href%3D%26%23039%3Bjavascript%3Avoid%280%29%3B%26%23039%3B%26gt%3BCite%26lt%3B%5C%2Fa%26gt%3B%20%26lt%3B%5C%2Fdiv%26gt%3B%5Cn%26lt%3B%5C%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22encyclopediaArticle%22%2C%22title%22%3A%22Lambda%20architecture%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22%22%2C%22lastName%22%3A%22Wikipedia%22%7D%5D%2C%22abstractNote%22%3A%22Lambda%20architecture%20is%20a%20data-processing%20architecture%20designed%20to%20handle%20massive%20quantities%20of%20data%20by%20taking%20advantage%20of%20both%20batch%20and%20stream-processing%20methods.%22%2C%22encyclopediaTitle%22%3A%22Wikipedia%22%2C%22date%22%3A%222019-02-08T23%3A25%3A54Z%22%2C%22ISBN%22%3A%22%22%2C%22DOI%22%3A%22%22%2C%22citationKey%22%3A%22%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Fen.wikipedia.org%5C%2Fw%5C%2Findex.php%3Ftitle%3DLambda_architecture%26oldid%3D882420981%22%2C%22language%22%3A%22en%22%2C%22collections%22%3A%5B%5D%2C%22dateModified%22%3A%222019-08-13T21%3A51%3A06Z%22%7D%7D%2C%7B%22key%22%3A%22SP9WF7R7%22%2C%22library%22%3A%7B%22id%22%3A2356229%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Wikipedia%22%2C%22parsedDate%22%3A%222019-08-01%22%2C%22numChildren%22%3A0%7D%2C%22bib%22%3A%22%26lt%3Bdiv%20class%3D%26quot%3Bcsl-bib-body%26quot%3B%20style%3D%26quot%3Bline-height%3A%201.35%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%26quot%3B%26gt%3B%5Cn%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-entry%26quot%3B%26gt%3BWikipedia.%20%26%23x201C%3BApache%20Hadoop.%26%23x201D%3B%20In%20%26lt%3Bi%26gt%3BWikipedia%26lt%3B%5C%2Fi%26gt%3B%2C%20August%201%2C%202019.%20%26lt%3Ba%20class%3D%26%23039%3Bzp-ItemURL%26%23039%3B%20href%3D%26%23039%3Bhttps%3A%5C%2F%5C%2Fen.wikipedia.org%5C%2Fw%5C%2Findex.php%3Ftitle%3DApache_Hadoop%26amp%3Boldid%3D908910621%26%23039%3B%26gt%3Bhttps%3A%5C%2F%5C%2Fen.wikipedia.org%5C%2Fw%5C%2Findex.php%3Ftitle%3DApache_Hadoop%26amp%3Boldid%3D908910621%26lt%3B%5C%2Fa%26gt%3B.%20%26lt%3Ba%20title%3D%26%23039%3BCite%20in%20RIS%20Format%26%23039%3B%20class%3D%26%23039%3Bzp-CiteRIS%26%23039%3B%20data-zp-cite%3D%26%23039%3Bapi_user_id%3D2356229%26amp%3Bitem_key%3DSP9WF7R7%26%23039%3B%20href%3D%26%23039%3Bjavascript%3Avoid%280%29%3B%26%23039%3B%26gt%3BCite%26lt%3B%5C%2Fa%26gt%3B%20%26lt%3B%5C%2Fdiv%26gt%3B%5Cn%26lt%3B%5C%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22encyclopediaArticle%22%2C%22title%22%3A%22Apache%20Hadoop%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22%22%2C%22lastName%22%3A%22Wikipedia%22%7D%5D%2C%22abstractNote%22%3A%22Apache%20Hadoop%20%28%20%29%20is%20a%20collection%20of%20open-source%20software%20utilities%20that%20facilitate%20using%20a%20network%20of%20many%20computers%20to%20solve%20problems%20involving%20massive%20amounts%20of%20data%20and%20computation.%20It%20provides%20a%20software%20framework%20for%20distributed%20storage%20and%20processing%20of%20big%20data%20using%20the%20MapReduce%20programming%20model.%22%2C%22encyclopediaTitle%22%3A%22Wikipedia%22%2C%22date%22%3A%222019-08-01T20%3A17%3A26Z%22%2C%22ISBN%22%3A%22%22%2C%22DOI%22%3A%22%22%2C%22citationKey%22%3A%22%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Fen.wikipedia.org%5C%2Fw%5C%2Findex.php%3Ftitle%3DApache_Hadoop%26oldid%3D908910621%22%2C%22language%22%3A%22en%22%2C%22collections%22%3A%5B%5D%2C%22dateModified%22%3A%222019-08-13T21%3A51%3A00Z%22%7D%7D%5D%7D
Blanchette, Jean-François. “Computing As If Infrastructure Mattered.” Commun. ACM 55, no. 10 (2012): 32–34. https://doi.org/10.1145/2347736.2347748. Cite
Jones, Matthew L. “Querying the Archive: Data Mining from Apriori to PageRank.” In Science in the Archives: Pasts, Presents, Futures, 311–28. Chicago: University of Chicago Press, 2017. http://www.columbia.edu/~mj340/jones_2017_querying.pdf. Cite
Mattern, Shannon. “The Big Data of Ice, Rocks, Soils, and Sediments.” Places Journal, 2017. https://doi.org/10.22269/171107. Cite
Najafabadi, Maryam M., Flavio Villanustre, Taghi M. Khoshgoftaar, Naeem Seliya, Randall Wald, and Edin Muharemagic. “Deep Learning Applications and Challenges in Big Data Analytics.” Journal of Big Data 2, no. 1 (2015): 1. https://doi.org/10.1186/s40537-014-0007-7. Cite
Pasek, Anne. “Managing Carbon and Data Flows: Fungible Forms of Mediation in the Cloud.” Culture Machine, 2019. https://culturemachine.net/vol-18-the-nature-of-data-centers/managing-carbon/. Cite
Star, Susan Leigh. “The Ethnography of Infrastructure.” American Behavioral Scientist 43, no. 3 (1999): 377–91. https://doi.org/10.1177/00027649921955326. Cite
Ward, Jonathan Stuart, and Adam Barker. “Undefined By Data: A Survey of Big Data Definitions.” arXiv:1309.5821 [Cs], 2013. http://arxiv.org/abs/1309.5821. Cite
Wikipedia. “Lambda Architecture.” In Wikipedia, February 8, 2019. https://en.wikipedia.org/w/index.php?title=Lambda_architecture&oldid=882420981. Cite
Wikipedia. “Apache Hadoop.” In Wikipedia, August 1, 2019. https://en.wikipedia.org/w/index.php?title=Apache_Hadoop&oldid=908910621. Cite

css.php