tag:blogger.com,1999:blog-5652924.post3071895679319619005..comments2024-03-02T01:02:21.655-08:00Comments on Applied Data Science and <br>Machine Learning: Is Data Mining Too Complicated?Dean Abbotthttp://www.blogger.com/profile/16818000233889520746noreply@blogger.comBlogger9125tag:blogger.com,1999:blog-5652924.post-25892363818301345522008-02-20T15:07:00.000-08:002008-02-20T15:07:00.000-08:00Responding to glibness, travel over long distances...Responding to glibness, travel over long distances is only a "simple problem" due to technological advances. Cross-oceanic or continental travel 200 years ago was a highly complex adventure that only very few seasoned professionals would dare try and required months of complicated planning. Donald's analogy holds to advanced data exploration and data mining. You can argue that the problem is Anonymousnoreply@blogger.comtag:blogger.com,1999:blog-5652924.post-71534153412583502842007-05-04T11:16:00.000-07:002007-05-04T11:16:00.000-07:00I don't believe that being an average analyst or I...I don't believe that being an average analyst or IT person locks you out from comprehending DM concepts. DM is a relatively new field with it's own terminology, so communication is very, very important.<BR/><BR/>However it is important that the person appreciate the power of statistics as well as the basic algorithms behind powerful DM methods such as Clustering, Decision Trees etc.Ralph Wintershttps://www.blogger.com/profile/14548913261473484508noreply@blogger.comtag:blogger.com,1999:blog-5652924.post-67002774742682594012007-03-14T09:37:00.000-07:002007-03-14T09:37:00.000-07:00Not to be glib, but it seems reasonable to expect ...Not to be glib, but it seems reasonable to expect data mining <I>tools</I> and <I>methods</I> to be as complicated as they need to be to solve data mining <I>problems</I>.<BR/><BR/>I resist the driving analogy since the problem of driving is <I>travel</I>, which is fundamentally a simple problem. The complicated part of the car is the intricate mechanism which makes travel quick, convenient and Will Dwinnellhttps://www.blogger.com/profile/03379859054257561952noreply@blogger.comtag:blogger.com,1999:blog-5652924.post-2944669150875674762007-03-12T16:27:00.000-07:002007-03-12T16:27:00.000-07:00As the "Data Mining Donald" in the original articl...As the "Data Mining Donald" in the original article, I guess I have a vested interest here. :-) I'm pleased its making a little ripple, and not for personal or product ego, but because I really care about this topic.<BR/>I do think there is a concensus forming in the industry that data mining is indeed too complicated. Of course, I work for Microsoft, and we have just released our <A HREF="http:/Anonymousnoreply@blogger.comtag:blogger.com,1999:blog-5652924.post-1619924801241027652007-02-27T20:26:00.000-08:002007-02-27T20:26:00.000-08:00At the risk of sounding like I'm walking both side...At the risk of sounding like I'm walking both sides of the fence, I'll say the answer is "yes" and "no" both.<BR/><BR/>I usually don't find it very difficult to explain what data mining does--the end result, that is. We are trying to discover relationships in the data (to predict or describe). In fact, most analysts do it every day. We all look at data and make decisions from that data.<BR/><BR/>Dean Abbotthttps://www.blogger.com/profile/16818000233889520746noreply@blogger.comtag:blogger.com,1999:blog-5652924.post-46113296943740997272007-02-25T03:17:00.000-08:002007-02-25T03:17:00.000-08:00It may be helpful to turn this question around. S...It may be helpful to turn this question around. Should one trust the database administrator's role to a seasoned data miner who has only read a few articles or a book on databases? I believe that it is logical to conclude that I.T. and data mining, despite their relationship and occasional overlap, are different specialties which produce very different work-product.<BR/><BR/>Business analysts, Will Dwinnellhttps://www.blogger.com/profile/03379859054257561952noreply@blogger.comtag:blogger.com,1999:blog-5652924.post-25778441089533474212007-02-23T09:23:00.000-08:002007-02-23T09:23:00.000-08:00I don't have the experience you guys have in data ...I don't have the experience you guys have in data mining. However, I think it's certainly more complicated to explain to someone <I>what</I> data mining is than to open a book and learn existing algorithm, their applications and possible traps (But I'm not saying that being a data miner is an easy job :-)Sandro Saittahttps://www.blogger.com/profile/17682082649770875583noreply@blogger.comtag:blogger.com,1999:blog-5652924.post-24531762643207196642007-02-21T22:20:00.000-08:002007-02-21T22:20:00.000-08:00I've been in data mining for over 20 years, I stil...I've been in data mining for over 20 years, I still don't know what data mining exactly is, how it's different from statistics for instance. In my opinion it's an art more than a science.<BR/><BR/>It's one of these words like six sigma, keyword analytics, conjoint analysis, random forests, seemingly covering very complicated topics while in essence representic very simple concepts. Yet it is Vincent Granvillehttps://www.blogger.com/profile/11458380199915437888noreply@blogger.comtag:blogger.com,1999:blog-5652924.post-17404208095623724882007-02-21T19:00:00.000-08:002007-02-21T19:00:00.000-08:00During my twenty years in retail analytics, I've y...During my twenty years in retail analytics, I've yet to meet a single person outside of data mining who finds data mining, on the surface, easy to understand.<BR/><BR/>What I have learned is that interpersnal skills are critical for data miners. If the data miner communicates in business-speak, and earns trust, the business will allow the data miners to do their jobs, and will respect the work MineThatDatahttps://www.blogger.com/profile/14014200122021988374noreply@blogger.com