View source for Talk:Data mining

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{{split article|from=Data mining|to=Examples of data mining|diff=https://en.wikipedia.org/w/index.php?title=Data_mining&diff=682065127&oldid=681531880|date=2015-09-21}}
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{{backwardscopy|url=http://files.aiscience.org/journal/article/html/70110028.html|title=What is Data Mining Methods with Different Group of Clustering and Classification|org=American Institute of Science, American Journal of Mobile Systems, Applications and Services|year=2015|monthday=October|url2=http://link.springer.com/content/pdf/bfm%3A978-3-642-27708-5%2F1.pdf|title2=Advances in Intelligent and Soft Computing - Knowledge Discovery and Data Mining - Preface, Honghua Tan|org2=Springer, Advances in Intelligent and Soft Computing|year2=2012|url3=http://ebooks.iospress.nl/volumearticle/7668|title3=Novikov, B., Michailova, E., Vasilik, D., Ivannikova, E., & Pigul, A. (2013). Mining logs for long-term patterns.|org3=IOS Press, Databases and Information Systems VII, Selected Papers from the Tenth International Baltic Conference, DB&IS 2012.|year3=2012|comments=The first journal article is a copy&paste synthesis of multiple Wikipedia articles. The book preface (see page VI) is plagiarized from the Wikipedia article: corresponding passages were already in Wikipedia since August 2011. The third journal article also contains phrases from Wikipedia at around 2011 in the "Related Work" section. '''There are probably many more copies from Wikipedia!'''}}{{User:MiszaBot/config
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== Merge Analytics into Data mining ==
{{Discussion top|result=To '''not''' merge given that there are different topics with different sets of readers; readers are best served by keeping the pages separate. [[User:Klbrain|Klbrain]] ([[User talk:Klbrain|talk]]) 17:58, 9 November 2022 (UTC)}}
The jargon "[[analytics]]", which could mean any sort of analysis whatsoever, appears to be trying to monopolise a generic English word for a very specific topic, hiding the real meaning. I think that any useful content there could be merged either into this article, [[data mining]], or maybe rather [[Examples of data mining]], since the content seems to be more about specific examples of data mining, under the name "analytics", rather than about the methods of data mining themselves. Another possible target for a merger would be [[Data analysis]]. In any case, [[Analytics]] is clearly quite poor quality currently, full of businessy jargon trying to pretend that as long as enough people follow the fashion, you can pretend that there's some new meaning there. Please state ''support'' or ''oppose'' in bold; if ''support'', then please state which target article ([[data mining]], [[examples of data mining]], or [[data analysis]]) you recommend for the merger of [[analytics]] (we should in principle add {{t|merge from}} templates to those target articles too...) [[User:Boud|Boud]] ([[User talk:Boud|talk]]) 15:03, 30 June 2022 (UTC)

:'''Support''' merging the [[Analytics#Applications]] section with [[Examples of data mining]] into a more encyclopedic [[Applications of data mining]]. I think the subsections there would complement the disjointed lists of examples making up [[Examples of data mining]] currently. 
:Then I would redirect [[Analytics]] to [[Data analysis]]. I think that the [[Analytics]] buzzword is intended to have a broader scope than [[Data mining]] (at least according to my reading of the convoluted [[Analytics#Analytics vs analysis]] section), which makes  [[Data analysis]] a better redirect target. [[User:Felix QW|Felix QW]] ([[User talk:Felix QW|talk]]) 09:56, 2 July 2022 (UTC)
:'''Oppose''' It sounds like you are POV-pushing against the use of business jargon. It's better to remain neutral and just summarize the sources. Analytics is a broad term according to Gartner[https://www.gartner.com/en/information-technology/glossary/analytics], but it is always almost used in a business context. My guess (I haven't performed a proper [[WP:BEFORE]] search) is that there is probably enough sourcing out there for a standalone article on the topic. But if editors come to consensus for a merge, then analytics is one aspect of [[Business intelligence]] and is better merged there. --<code>&#123;&#123;u&#124;[[User:Mark viking|Mark viking]]&#125;&#125;&nbsp;{[[User talk:Mark viking|Talk]]}</code> 23:08, 3 July 2022 (UTC)
::I am certainly pushing in favour of Wikipedia being an encylopaedia, with entries of knowledge about the real world. Words that are common but meaningless make more sense in the [[Wiktionary]]. [[User:Boud|Boud]] ([[User talk:Boud|talk]]) 20:33, 3 July 2022 (UTC)
::: It seems you have contempt for the business world and its jargon, and that is compromising your objectivity with respect to this topic. The encyclopedia is better served by editors summarizing reliable sources, not injecting their personal opinions into article content. Show some reliable sources that say analytics is meaningless and those that coined the term are nefariously trying to monopolize an English word, and we could add that criticism to the article. But it's also clear that there is a population of business folk, such as business analysts and consultants, who use this term and find it useful for charactering various forms of business intelligence. Summarizing their approach using RS is the best approach to developing this article. --<code>&#123;&#123;u&#124;[[User:Mark viking|Mark viking]]&#125;&#125;&nbsp;{[[User talk:Mark viking|Talk]]}</code> 23:08, 3 July 2022 (UTC)
::::Hostility towards business sources does make sense to me (at least hostility towards ONLY using business sources, which is currently the case in the data analytics article). Data analysis is a broad scientific field and should not be defined solely by people who have a clear incentive to generate novel definitions at cost of sensibility. [[Special:Contributions/98.43.49.101|98.43.49.101]] ([[User talk:98.43.49.101|talk]]) 20:02, 21 October 2022 (UTC)
:'''Oppose''' as the term "analytics" has evolved into a catch-all term for analysis of information. It seems that any person who applies information analysis to their domain can be considered to be doing "analytics." Although analytics has increasingly moved towards a role of describing statistical information in the business sphere, [https://www.gartner.com/en/information-technology/glossary/analytics]  it would not make sense as an "example of data mining" as all processes of data mining would include techniques in analytics. Meanwhile, IT and business users share interest in analytics departments, which might best make sense as an aspect of Business Intelligence, as @[[User:Mark viking|Mark viking]] mentioned.  [[User:ZacharyWalkerPinto|ZacharyWalkerPinto]] ([[User talk:ZacharyWalkerPinto|talk]]) 15:58, 4 July 2022 (UTC)
: '''Oppose''', the article "data mining" is more on the academic use; analytics is business jargon. Or to put it differently, one is about the methodology, the other about the business purpose, and the third is on example applications. One of the reasons to create [[examples of data mining]] in the first place was to make the article less crowded with a rather useless list of examples (that attracts a lot of spam). Maybe move the more concrete applications from Analytics there, too. [[User:Chire|Chire]] ([[User talk:Chire|talk]]) 23:48, 6 July 2022 (UTC)
{{Discussion bottom}}

== New Data Mining Process models==
I have noticed that someone is keep deleting a new cited work for a process model that was published by IEEE. However, the citation of other papers was simply allowed including ones that simply compare process models to each other. In addition, the article is full with citation to a less significant work, journal articles and other type of research papers. 

Somebody suggested building a consensus about this issue using the talk page. Please refere to the cited references using the following link: 
https://ieeexplore.ieee.org/iel7/6287639/8948470/09263253.pdf

 <!-- Template:Unsigned IP --><small class="autosigned">—&nbsp;Preceding [[Wikipedia:Signatures|unsigned]] comment added by [[Special:Contributions/176.29.83.94|176.29.83.94]] ([[User talk:176.29.83.94#top|talk]]) 16:05, 11 July 2022 (UTC)</small> <!--Autosigned by SineBot-->

:This is not a place for you to self promote. Please stop spamming us. [[User:MrOllie|MrOllie]] ([[User talk:MrOllie|talk]]) 12:15, 1 August 2022 (UTC)

== India Education Program course assignment ==
[[File:Wikipedia-Ambassador-Program-Logo.png|50px]] This article was the subject of an educational assignment  supported by [[Wikipedia:Education program/Ambassadors|Wikipedia Ambassadors]] through the [[Wikipedia:India Education Program|India Education Program]].[[Category:India Education Program student projects|{{PAGENAME}}]] [[Category:India Education Program student projects]]

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== Data Mining versus Factor Analysis  ==

Data mining is a large scale effort to increase the possibility of finding something that an investigator doesn’t know when a better procedure is Factor Analysis, a statistical analysis process developed by Dr Benjamin Fructer. This process uses both repeated linear and nonlinear regression to determine factors within the data. Factor Analysis can be used to test hypotheses or investigate a database for variables that are related. It is preferable to large scale data snooping because it provides statistical significance estimates. [[User:DoctorDuncan|DoctorDuncan]] ([[User talk:DoctorDuncan|talk]]) 01:42, 5 May 2023 (UTC)

:Assuming you mean the author of ''Introduction to Factor Analysis'' (1954), I think his name is spelled "Benjamin Fruchter". [[Factor analysis]] is much older than that, but my understanding is that the term "[[data snooping]]" is typically used pejoratively for the misuse of tools to "provide" statistical significance, not for the specific tools themselves. Perhaps I'm wrong about this, but regardless, you will need a [[WP:RS|reliable source]] to add any of this to the article. Wikipedia doesn't publish [[P:OR|original research]]. [[User:Grayfell|Grayfell]] ([[User talk:Grayfell|talk]]) 05:35, 5 May 2023 (UTC)

==Wiki Education assignment: IFS213-Hacking and Open Source Culture==
{{dashboard.wikiedu.org assignment | course = Wikipedia:Wiki_Ed/Mesa_Community_College/IFS213-Hacking_and_Open_Source_Culture_(Fall) | assignments = [[User:Hacksasaur|Hacksasaur]] | reviewers = [[User:Yaman Shqeirat|Yaman Shqeirat]] | start_date = 2023-09-05 | end_date = 2023-12-19 }}

<span class="wikied-assignment" style="font-size:85%;">— Assignment last updated by [[User:T57fd|T57fd]] ([[User talk:T57fd|talk]]) 00:23, 1 December 2023 (UTC)</span>

== Data Mining Downsides ==

I am adding this section to the Data Mining main page because I think it is important to note that there are cons to Data Mining. I feel that illuminating a section such as this will give users a better idea of what Data Mining is and how big of an undertaking it can be, as well as why it can be very difficult for independent persons or small business to data mine. Users who are not very experienced with technology may feel overwhelmed by Data Mining and might need something laid out to them that very easily shows them what to be wary of when it comes to Data Mining.  [[User:Wkobrien2|Wkobrien2]] ([[User talk:Wkobrien2|talk]]) 18:17, 21 February 2024 (UTC)

:I reverted it - advertising materials such as vendor blogs are not considered [[WP:RS|reliable sources]] on Wikipedia. [[User:MrOllie|MrOllie]] ([[User talk:MrOllie|talk]]) 18:30, 21 February 2024 (UTC)

==Wiki Education assignment: IFS213-Hacking and Open Source Culture, Fall 2024==
{{dashboard.wikiedu.org assignment | course = Wikipedia:Wiki_Ed/Mesa_Community_College/IFS213-Hacking_and_Open_Source_Culture,_Fall_2024_(Fall) | assignments = [[User:Apollommcc2024|Apollommcc2024]] | reviewers = [[User:LEN2134881|LEN2134881]] | start_date = 2024-09-03 | end_date = 2024-12-13 }}

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