{"id":4034,"date":"2023-10-18T07:39:10","date_gmt":"2023-10-18T07:39:10","guid":{"rendered":"https:\/\/bulutistan.com\/blog\/?p=4034"},"modified":"2024-01-20T10:25:17","modified_gmt":"2024-01-20T10:25:17","slug":"veri-madenciligi-data-mining-nedir-nasil-yapilir","status":"publish","type":"post","link":"https:\/\/bulutistan.com\/blog\/veri-madenciligi-data-mining-nedir-nasil-yapilir\/","title":{"rendered":"Veri Madencili\u011fi (Data Mining) Nedir? Nas\u0131l Yap\u0131l\u0131r?"},"content":{"rendered":"<p><span style=\"font-weight: 400;\">B\u00fcy\u00fck verinin ba\u015far\u0131n\u0131n ba\u015fl\u0131ca ara\u00e7lar\u0131ndan biri oldu\u011fu g\u00fcn\u00fcm\u00fczde, i\u015fletmeler giderek daha fazla veriyi kendi k\u00e2rlar\u0131 i\u00e7in kullanmaya \u00e7al\u0131\u015fmaktad\u0131r. \u0130\u015fte bu y\u00fczden veri madencili\u011fi bu kadar pop\u00fcler bir hizmet haline gelmi\u015ftir.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Peki veri madencili\u011fi tam olarak nedir ve nas\u0131l yap\u0131l\u0131r?\u00a0<\/span><\/p>\n<h2 id=\"veri-madenciligi-nedir\"><b>Veri Madencili\u011fi Nedir?<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">Veri madencili\u011fi, veri analizi yoluyla i\u015f sorunlar\u0131n\u0131n \u00e7\u00f6z\u00fcm\u00fcne yard\u0131mc\u0131 olabilecek kal\u0131plar\u0131 ve ili\u015fkileri belirlemek i\u00e7in b\u00fcy\u00fck veri k\u00fcmelerini s\u0131ralama s\u00fcrecidir. Veri madencili\u011fi teknikleri ve ara\u00e7lar\u0131, i\u015fletmelerin gelecekteki e\u011filimleri tahmin etmesini ve daha iyi i\u015f kararlar\u0131 almas\u0131n\u0131 sa\u011flar.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Veri setlerinde faydal\u0131 bilgiler bulmak i\u00e7in geli\u015fmi\u015f analitik tekniklerini kullanan veri madencili\u011fi, veri analiti\u011finin kritik bir bile\u015feni ve veri bilimindeki temel disiplinlerden biridir. Veri madencili\u011fi, verilerin toplanmas\u0131, i\u015flenmesi ve analiz edilmesine y\u00f6nelik bir <\/span><a href=\"https:\/\/bulutistan.com\/blog\/veri-bilimi-data-science-nedir-isletmelerin-veriye-yaklasimi-nasil-kullanmali\/\"><span style=\"font-weight: 400;\">veri bilimi<\/span><\/a><span style=\"font-weight: 400;\"> metodolojisi olan veri tabanlar\u0131nda bilgi ke\u015ffi (KDD) s\u00fcrecinin bir ad\u0131m\u0131d\u0131r. Veri madencili\u011fi ve KDD bazen birbirinin yerine kullan\u0131labilir, ancak daha yayg\u0131n olarak farkl\u0131 kavramlar olarak kabul edilir.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Bulutistan hizmetlerinin detaylar\u0131na ula\u015fmak i\u00e7in <\/span><a href=\"https:\/\/bulutistan.com\/cloud\/\"><span style=\"font-weight: 400;\">t\u0131klay\u0131n\u0131z<\/span><\/a><span style=\"font-weight: 400;\">.<\/span><\/p>\n<h2 id=\"veri-madenciliginin-tarihcesi\"><b>Veri Madencili\u011finin Tarih\u00e7esi<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">Veri madencili\u011fi kavram\u0131, bilgisayarlardan \u00f6nce de vard\u0131. Veri madencili\u011finin istatistiksel ba\u015flang\u0131c\u0131 1763&#8217;te Bayes Teoremi ve 1805&#8217;te regresyon analizinin ke\u015ffi ile harekete ge\u00e7ti. Turing Evrensel Makinesi (1936), sinir a\u011flar\u0131n\u0131n ke\u015ffi (1943), veri tabanlar\u0131n\u0131n geli\u015ftirilmesi (1970&#8217;ler), genetik algoritmalar (1975) ve veri tabanlar\u0131nda bilgi ke\u015ffi (1989) sayesinde, bug\u00fcn veri madencili\u011finin ne oldu\u011funa dair modern anlay\u0131\u015f\u0131m\u0131z i\u00e7in bir zemin haz\u0131rland\u0131. 1990&#8217;lar ve 2000&#8217;lerde bilgisayar i\u015flemcilerinin, veri depolaman\u0131n ve teknolojinin b\u00fcy\u00fcmesiyle birlikte veri madencili\u011fi sadece daha g\u00fc\u00e7l\u00fc de\u011fil, ayn\u0131 zamanda her t\u00fcrl\u00fc durumda daha \u00fcretken hale geldi.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">2003 y\u0131l\u0131nda Moneyball kitab\u0131, profesyonel bir beyzbol tak\u0131m\u0131n\u0131n kadro olu\u015fturmaya y\u00f6nelik analitik odakl\u0131 yakla\u015f\u0131m\u0131n\u0131n hikayesi arac\u0131l\u0131\u011f\u0131yla veri madencili\u011fini \u00e7ok daha geni\u015f bir kitleye tan\u0131tt\u0131. Art\u0131k \u015firketlerin b\u00fcy\u00fck veri \u00e7\u00f6z\u00fcmlerini giderek daha \u00e7e\u015fitli durumlarda kullanmas\u0131yla birlikte veri madencili\u011fi say\u0131s\u0131z sekt\u00f6rde kritik bir rol oynamaya ba\u015flad\u0131.<\/span><\/p>\n<h2 id=\"veri-madenciligi-neden-onemlidir\"><b>Veri Madencili\u011fi Neden \u00d6nemlidir?<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">Veri madencili\u011fi, i\u015fletmelerdeki ba\u015far\u0131l\u0131 analitik giri\u015fimlerinin temel bir bile\u015fenidir. \u00c7\u0131kt\u0131lar\u0131, ge\u00e7mi\u015f verilere bakan i\u015f zekas\u0131 (BI) ve geli\u015fmi\u015f analitik uygulamalar\u0131nda ve olu\u015fturulmakta veya toplanmakta olan ak\u0131\u015f verilerine bakan ger\u00e7ek zamanl\u0131 analitik uygulamalar\u0131nda kullan\u0131labilir.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Etkili veri madencili\u011fi, i\u015f stratejisi planlamas\u0131na ve operasyon y\u00f6netimine yard\u0131mc\u0131 olur. Buna pazarlama, reklam, sat\u0131\u015f ve m\u00fc\u015fteri deste\u011fi gibi m\u00fc\u015fteriye d\u00f6n\u00fck i\u015flevlerin yan\u0131 s\u0131ra \u00fcretim, tedarik zinciri y\u00f6netimi, finans ve \u0130K da dahildir. Veri madencili\u011fi doland\u0131r\u0131c\u0131l\u0131k tespiti, risk y\u00f6netimi, siber g\u00fcvenlik planlamas\u0131 ve di\u011fer bir\u00e7ok kritik i\u015f kullan\u0131m durumunu destekler. Ayr\u0131ca sa\u011fl\u0131k, h\u00fck\u00fcmet, bilimsel ara\u015ft\u0131rma, matematik, spor vb. alanlarda da \u00f6nemli bir rol oynar.<\/span><\/p>\n<h2 id=\"veri-madenciligi-sureci-nasil-isler\"><b>Veri Madencili\u011fi S\u00fcreci Nas\u0131l \u0130\u015fler?<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">Veri madencili\u011finden genellikle veri bilimciler, i\u015f zekas\u0131 ve analitik uzmanlar\u0131 sorumludur. Ancak veri madencili\u011fi, veriye \u00f6nem veren i\u015f analistleri, y\u00f6neticiler ve bir kurulu\u015fta veri bilimcisi olarak hareket eden \u00e7al\u0131\u015fanlar taraf\u0131ndan da yap\u0131labilir.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Ana bile\u015fenleri makine \u00f6\u011frenimi ve istatistiksel analizin yan\u0131 s\u0131ra verileri analize haz\u0131rlamak i\u00e7in ger\u00e7ekle\u015ftirilen veri y\u00f6netimi g\u00f6revleridir. Makine \u00f6\u011frenimi algoritmalar\u0131n\u0131n ve yapay zeka (AI) ara\u00e7lar\u0131n\u0131n kullan\u0131m\u0131, s\u00fcrecin daha b\u00fcy\u00fck bir k\u0131sm\u0131n\u0131 otomatikle\u015ftirmi\u015f ve m\u00fc\u015fteri veri tabanlar\u0131, i\u015flem kay\u0131tlar\u0131 ve web sunucular\u0131ndan, mobil uygulamalardan ve sens\u00f6rlerden gelen g\u00fcnl\u00fck dosyalar\u0131 gibi b\u00fcy\u00fck veri k\u00fcmelerinin \u00e7\u0131kar\u0131lmas\u0131n\u0131 kolayla\u015ft\u0131rm\u0131\u015ft\u0131r.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Veri madencili\u011fi s\u00fcreci 4 ana a\u015famaya ayr\u0131labilir:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Veri toplama: <\/b><span style=\"font-weight: 400;\">Bir analitik uygulamas\u0131 i\u00e7in veriler belirlenir ve derlenir. Veriler \u00e7e\u015fitli kaynak sistemlerde, bir <\/span><a href=\"https:\/\/bulutistan.com\/blog\/veri-ambari-data-warehouse\/\"><span style=\"font-weight: 400;\">veri ambar\u0131nda<\/span><\/a><span style=\"font-weight: 400;\"> veya yap\u0131land\u0131r\u0131lm\u0131\u015f ve yap\u0131land\u0131r\u0131lmam\u0131\u015f verilerin bir kar\u0131\u015f\u0131m\u0131n\u0131 i\u00e7eren b\u00fcy\u00fck veri ortamlar\u0131nda giderek daha pop\u00fcler bir havuz haline gelen bir veri g\u00f6l\u00fcnde depolanabilir. Harici veri kaynaklar\u0131 da kullan\u0131labilir. Verinin nereden geldi\u011fine bak\u0131lmaks\u0131z\u0131n, bir veri bilimci s\u00fcre\u00e7teki di\u011fer ad\u0131mlar i\u00e7in veriyi s\u0131kl\u0131kla bir veri g\u00f6l\u00fcne ta\u015f\u0131yacakt\u0131r.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Veri haz\u0131rlama: <\/b><span style=\"font-weight: 400;\">Bu a\u015fama, verileri madencilik i\u00e7in haz\u0131rlayan bir dizi ad\u0131mdan olu\u015fur. Veri ke\u015ffi, profil olu\u015fturma ve \u00f6n i\u015fleme ile ba\u015flar ve ard\u0131ndan hatalar\u0131 ve di\u011fer veri kalitesi sorunlar\u0131n\u0131 d\u00fczeltmek i\u00e7in veri temizlemeye ge\u00e7er. Bir veri bilimci belirli bir uygulama i\u00e7in filtrelenmemi\u015f ham verileri analiz etmek istemiyorsa, veri setlerini tutarl\u0131 hale getirmek i\u00e7in veri d\u00f6n\u00fc\u015f\u00fcm\u00fc de yap\u0131l\u0131r.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Veri madencili\u011fi: <\/b><span style=\"font-weight: 400;\">Veri bilimci, verileri haz\u0131rlad\u0131ktan sonra uygun veri madencili\u011fi tekni\u011fini se\u00e7er ve ard\u0131ndan madencili\u011fi ger\u00e7ekle\u015ftirmek i\u00e7in bir veya daha fazla algoritma uygular. Makine \u00f6\u011frenimi uygulamalar\u0131nda t\u00fcm veri setine kar\u015f\u0131 \u00e7al\u0131\u015ft\u0131r\u0131lmadan \u00f6nce algoritmalar genellikle aranan bilgileri aramak i\u00e7in \u00f6rnek veri setleri \u00fczerinde e\u011fitilir.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Veri analizi ve yorumlama: <\/b><span style=\"font-weight: 400;\">Veri madencili\u011fi sonu\u00e7lar\u0131, karar verme ve di\u011fer i\u015f eylemlerine yard\u0131mc\u0131 olabilecek analitik modeller geli\u015ftirmek i\u00e7in kullan\u0131l\u0131r. Veri bilimci veya ba\u015fka bir veri bilimi ekibi \u00fcyesi, bulgular\u0131 i\u015fletme y\u00f6neticilerine ve kullan\u0131c\u0131lara iletmelidir; bu da genellikle veri g\u00f6rselle\u015ftirme ve veri hikayesi anlatma teknikleriyle ger\u00e7ekle\u015ftirilir.<\/span><\/li>\n<\/ul>\n<h2 id=\"veri-madenciligi-tekniklerinin-turleri\"><b>Veri Madencili\u011fi Tekniklerinin T\u00fcrleri<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">\u00c7e\u015fitli veri bilimi uygulamalar\u0131 i\u00e7in veri madencili\u011fi yapmak \u00fczere farkl\u0131 teknikler kullan\u0131labilir. Birden fazla y\u00f6ntemle m\u00fcmk\u00fcn k\u0131l\u0131nan yayg\u0131n bir veri madencili\u011fi kullan\u0131m durumu, veri k\u00fcmelerindeki ayk\u0131r\u0131 de\u011ferleri belirlemeyi ama\u00e7layan anomali tespitinde oldu\u011fu gibi \u00f6r\u00fcnt\u00fc tan\u0131mad\u0131r. A\u015fa\u011f\u0131da pop\u00fcler veri madencili\u011fi tekniklerinden baz\u0131 \u00f6rnekleri bulabilirsiniz:<\/span><\/p>\n<p><b>Birliktelik kural\u0131 madencili\u011fi: <\/b><span style=\"font-weight: 400;\">Veri madencili\u011findeki birliktelik kurallar\u0131, veri \u00f6\u011feleri aras\u0131ndaki ili\u015fkileri tan\u0131mlayan if-then ifadeleridir. Ba\u011flant\u0131lar\u0131 de\u011ferlendirmek i\u00e7in destek ve g\u00fcven kriterleri kullan\u0131l\u0131r; destek, ilgili \u00f6\u011felerin bir veri k\u00fcmesinde ne s\u0131kl\u0131kta g\u00f6r\u00fcnd\u00fc\u011f\u00fcn\u00fc \u00f6l\u00e7erken, g\u00fcven ise bir if-then ifadesinin ka\u00e7 kez do\u011fru oldu\u011funu yans\u0131t\u0131r.<\/span><\/p>\n<p><b>S\u0131n\u0131fland\u0131rma:<\/b><span style=\"font-weight: 400;\"> Bu y\u00f6ntem, veri madencili\u011fi s\u00fcrecinde tan\u0131mlanan kategorileri kullanarak veri k\u00fcmelerindeki \u00f6\u011feleri s\u0131n\u0131fland\u0131r\u0131r. S\u0131n\u0131fland\u0131rma y\u00f6ntemleri aras\u0131nda karar a\u011fa\u00e7lar\u0131, Naive Bayes s\u0131n\u0131fland\u0131r\u0131c\u0131lar\u0131, k-en yak\u0131n kom\u015fu ve lojistik regresyon yer al\u0131r.<\/span><\/p>\n<p><b>K\u00fcmeleme: <\/b><span style=\"font-weight: 400;\">Veri madencili\u011fi uygulamalar\u0131n\u0131n bir par\u00e7as\u0131 olarak, benzer \u00f6zelliklere sahip veri \u00f6\u011feleri k\u00fcmeler halinde grupland\u0131r\u0131l\u0131r. K-ortalamalar k\u00fcmelemesi, hiyerar\u015fik k\u00fcmeleme ve Gauss kar\u0131\u015f\u0131m modelleri birka\u00e7 \u00f6rnektir.<\/span><\/p>\n<p><b>Regresyon:<\/b><span style=\"font-weight: 400;\"> Veri k\u00fcmelerindeki ili\u015fkileri ke\u015ffetmek i\u00e7in bir ba\u015fka y\u00f6ntem de de\u011fi\u015fkenlere dayal\u0131 olarak tahmin edilen veri de\u011ferlerini hesaplamakt\u0131r. \u00d6rnekler aras\u0131nda do\u011frusal regresyon ve \u00e7ok de\u011fi\u015fkenli regresyon yer al\u0131r. Regresyonlar karar a\u011fa\u00e7lar\u0131 ve di\u011fer s\u0131n\u0131fland\u0131rma y\u00f6ntemleri kullan\u0131larak da ger\u00e7ekle\u015ftirilebilir.<\/span><\/p>\n<p><b>S\u0131ra ve yol analizi:<\/b><span style=\"font-weight: 400;\"> Veriler, belirli olaylar\u0131n veya de\u011ferlerin daha sonraki olaylara yol a\u00e7t\u0131\u011f\u0131 kal\u0131plar\u0131 aramak i\u00e7in de \u00e7\u0131kar\u0131labilir.\u00a0<\/span><\/p>\n<p><b>Sinir a\u011flar\u0131:<\/b><span style=\"font-weight: 400;\"> Sinir a\u011f\u0131, insan beyni aktivitesini sim\u00fcle eden bir algoritmalar toplulu\u011fudur. Makine \u00f6\u011freniminin daha geli\u015fmi\u015f bir dal\u0131 olan <\/span><a href=\"https:\/\/bulutistan.com\/blog\/derin-ogrenme-nedir\/\"><span style=\"font-weight: 400;\">derin \u00f6\u011frenme<\/span><\/a><span style=\"font-weight: 400;\">, karma\u015f\u0131k \u00f6r\u00fcnt\u00fc tan\u0131ma uygulamalar\u0131nda sinir a\u011flar\u0131n\u0131 kullan\u0131r.<\/span><\/p>\n<h2 id=\"veri-madenciligi-yazilim-ve-araclari\"><b>Veri Madencili\u011fi Yaz\u0131l\u0131m ve Ara\u00e7lar\u0131<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">Veri madencili\u011fi ara\u00e7lar\u0131, genellikle veri bilimi ve geli\u015fmi\u015f analitik ara\u00e7lar\u0131n\u0131 i\u00e7eren daha b\u00fcy\u00fck yaz\u0131l\u0131m platformlar\u0131n\u0131n bir par\u00e7as\u0131 olarak \u00e7ok \u00e7e\u015fitli sat\u0131c\u0131lardan temin edilebilir. Veri madencili\u011fi yaz\u0131l\u0131m\u0131n\u0131n temel \u00f6zellikleri a\u015fa\u011f\u0131dakileri i\u00e7erir:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Veri haz\u0131rlama yetenekleri.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Yerle\u015fik algoritmalar.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Tahmine dayal\u0131 modelleme deste\u011fi.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">GUI tabanl\u0131 bir geli\u015ftirme ortam\u0131.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Modelleri da\u011f\u0131tmak ve performanslar\u0131n\u0131 puanlamak i\u00e7in ara\u00e7lar.<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">Alteryx, Databricks, Dataiku, DataRobot, H2O.ai, Knime, RapidMiner, SAP, SAS Institute ve Tibco Software veri madencili\u011fi ara\u00e7lar\u0131 sa\u011flayan sat\u0131c\u0131lar aras\u0131ndad\u0131r.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">DataMelt, Elki, Orange, Rattle, scikit-learn ve Weka veri madencili\u011fi yapabilen \u00fccretsiz, a\u00e7\u0131k kaynakl\u0131 teknolojilerdir. Baz\u0131 yaz\u0131l\u0131m sat\u0131c\u0131lar\u0131 da a\u00e7\u0131k kaynak se\u00e7enekleri sunmaktad\u0131r. \u00d6rne\u011fin Knime, veri bilimi uygulamalar\u0131n\u0131 y\u00f6netmek i\u00e7in a\u00e7\u0131k kaynakl\u0131 bir analitik platformu ticari yaz\u0131l\u0131mla birle\u015ftirirken, Dataiku ve H2O.ai \u00fcr\u00fcnlerinin \u00fccretsiz s\u00fcr\u00fcmlerini sunmaktad\u0131r.<\/span><\/p>\n<h2 id=\"veri-madenciliginin-avantajlari\"><b>Veri Madencili\u011finin Avantajlar\u0131<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">Genel olarak, veri k\u00fcmelerindeki gizli kal\u0131plar\u0131, e\u011filimleri, korelasyonlar\u0131 ve anormallikleri ortaya \u00e7\u0131karma becerisinin artmas\u0131, ticari avantajlar sa\u011flar. Bu bilgiler, geleneksel veri analizi ve tahmine dayal\u0131 analiti\u011fin bir kombinasyonu yoluyla i\u015fle ilgili karar alma s\u00fcre\u00e7lerini ve stratejik planlamay\u0131 iyile\u015ftirmek i\u00e7in kullan\u0131labilir.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">A\u015fa\u011f\u0131da baz\u0131 \u00f6zel veri madencili\u011fi avantajlar\u0131 yer almaktad\u0131r:<\/span><\/p>\n<h3 id=\"1-daha-etkili-pazarlama-ve-satis\"><b>1. Daha etkili pazarlama ve sat\u0131\u015f<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">Veri madencili\u011fi, pazarlamac\u0131lar\u0131n m\u00fc\u015fteri davran\u0131\u015flar\u0131n\u0131 ve tercihlerini daha iyi anlamalar\u0131na yard\u0131mc\u0131 olarak hedefli pazarlama ve reklam kampanyalar\u0131 olu\u015fturmalar\u0131n\u0131 sa\u011flar. Benzer \u015fekilde, sat\u0131\u015f ekipleri de potansiyel m\u00fc\u015fteri d\u00f6n\u00fc\u015f\u00fcm oranlar\u0131n\u0131 iyile\u015ftirmek ve mevcut m\u00fc\u015fterilere ek \u00fcr\u00fcn ve hizmetler satmak i\u00e7in veri madencili\u011fi sonu\u00e7lar\u0131n\u0131 kullanabilir.<\/span><\/p>\n<h3 id=\"2-gelistirilmis-musteri-hizmetleri\"><b>2. Geli\u015ftirilmi\u015f m\u00fc\u015fteri hizmetleri<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">\u015eirketler veri madencili\u011fini potansiyel m\u00fc\u015fteri hizmetleri sorunlar\u0131n\u0131 daha h\u0131zl\u0131 tespit etmek ve ileti\u015fim merkezi temsilcilerine m\u00fc\u015fterilerle yap\u0131lan g\u00f6r\u00fc\u015fmelerde ve \u00e7evrimi\u00e7i sohbetlerde kullanabilecekleri g\u00fcncel bilgiler sa\u011flamak i\u00e7in kullanabilir.<\/span><\/p>\n<h3 id=\"3-gelistirilmis-tedarik-zinciri-yonetimi\"><b>3. Geli\u015ftirilmi\u015f tedarik zinciri y\u00f6netimi<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">\u0130\u015fletmeler pazar e\u011filimlerini daha iyi tespit ve \u00fcr\u00fcn talebini tahmin edebilir, b\u00f6ylece mal ve tedarik stoklar\u0131n\u0131 daha iyi y\u00f6netebilirler. Tedarik zinciri y\u00f6neticileri ayr\u0131ca depolama, da\u011f\u0131t\u0131m ve di\u011fer lojistik operasyonlar\u0131n\u0131 optimize etmek i\u00e7in veri madencili\u011fi bilgilerini kullanabilir.<\/span><\/p>\n<h3 id=\"4-gelismis-uretim-calisma-suresi\"><b>4. Geli\u015fmi\u015f \u00fcretim \u00e7al\u0131\u015fma s\u00fcresi<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">\u00dcretim makineleri ve di\u011fer end\u00fcstriyel ekipmanlar \u00fczerindeki sens\u00f6rlerden elde edilen operasyonel verilerin madencili\u011fi, olas\u0131 sorunlar\u0131n ortaya \u00e7\u0131kmadan \u00f6nce belirlenmesinde kestirimci bak\u0131m uygulamalar\u0131na yard\u0131mc\u0131 olur ve b\u00f6ylece planlanmam\u0131\u015f ar\u0131za s\u00fcrelerini azalt\u0131r.<\/span><\/p>\n<h3 id=\"5-daha-iyi-risk-yonetimi\"><b>5. Daha iyi risk y\u00f6netimi<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">Risk y\u00f6neticileri ve i\u015fletme y\u00f6neticileri bir \u015firketin finansal, yasal, siber g\u00fcvenlik ve di\u011fer risklerini daha iyi de\u011ferlendirebilir ve y\u00f6netebilir.<\/span><\/p>\n<h3 id=\"6-azaltilmis-giderler\"><b>6. Azalt\u0131lm\u0131\u015f giderler<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">Veri madencili\u011fi, i\u015f s\u00fcre\u00e7lerindeki operasyonel verimlili\u011fi art\u0131rarak ve kurumsal harcamalardaki fazlal\u0131k ve israf\u0131 azaltarak maliyet tasarrufuna katk\u0131da bulunur.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Son olarak, veri madencili\u011fi giri\u015fimleri gelir ve k\u00e2r\u0131n artmas\u0131na ve \u015firketleri rakiplerinden ay\u0131ran rekabet avantajlar\u0131na yol a\u00e7abilir.<\/span><\/p>\n<h2 id=\"veri-madenciligi-sektoru-ornekleri\"><b>Veri Madencili\u011fi Sekt\u00f6r\u00fc \u00d6rnekleri<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">\u00c7e\u015fitli sekt\u00f6rlerdeki i\u015fletmelerin analitik uygulamalar\u0131n\u0131n bir par\u00e7as\u0131 olarak veri madencili\u011fini nas\u0131l kulland\u0131klar\u0131na dair baz\u0131 \u00f6rnekleri a\u015fa\u011f\u0131da bulabilirsiniz:<\/span><\/p>\n<h3 id=\"1-perakende\"><b>1. Perakende<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">\u00c7evrimi\u00e7i perakendeciler, pazarlama kampanyalar\u0131n\u0131, reklamlar\u0131 ve promosyon tekliflerini belirli m\u00fc\u015fterilere hedeflemelerine yard\u0131mc\u0131 olmak i\u00e7in m\u00fc\u015fterilerin verilerini ve internet t\u0131klama ak\u0131\u015f\u0131 kay\u0131tlar\u0131n\u0131 \u00e7\u0131kar\u0131r. Veri madencili\u011fi ve tahmine dayal\u0131 modelleme, web sitesi ziyaret\u00e7ilerine potansiyel sat\u0131n al\u0131mlar \u00f6neren tavsiye motorlar\u0131n\u0131 ve envanter ve tedarik zinciri y\u00f6netimi faaliyetlerini g\u00fc\u00e7lendirmek i\u00e7in de kullan\u0131l\u0131r.<\/span><\/p>\n<h3 id=\"2-finansal-hizmetler\"><b>2. Finansal Hizmetler<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">Bankalar ve kredi kart\u0131 \u015firketleri finansal risk modelleri olu\u015fturmak, hileli i\u015flemleri tespit etmek ve kredi ve kredi ba\u015fvurular\u0131n\u0131 incelemek i\u00e7in veri madencili\u011fi ara\u00e7lar\u0131n\u0131 kullan\u0131r. Veri madencili\u011fi ayn\u0131 zamanda pazarlama ve mevcut m\u00fc\u015fterilere y\u00f6nelik potansiyel sat\u0131\u015f f\u0131rsatlar\u0131n\u0131n belirlenmesinde de \u00f6nemlidir.<\/span><\/p>\n<h3 id=\"3-sigortacilik\"><b>3. Sigortac\u0131l\u0131k<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">Sigortac\u0131lar, sigorta poli\u00e7elerini fiyatland\u0131rmalar\u0131na ve muhtemel m\u00fc\u015fteriler i\u00e7in risk modellemesi ve y\u00f6netimi de dahil olmak \u00fczere poli\u00e7e ba\u015fvurular\u0131n\u0131 onaylay\u0131p onaylamayacaklar\u0131na karar vermelerine yard\u0131mc\u0131 olmak i\u00e7in veri madencili\u011fini kullan\u0131rlar.<\/span><\/p>\n<h3 id=\"4-uretim\"><b>4. \u00dcretim<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">\u00dcreticilerin veri madencili\u011fi uygulamalar\u0131, \u00fcretim tesislerinde \u00e7al\u0131\u015fma s\u00fcresini ve operasyonel verimlili\u011fi, tedarik zinciri performans\u0131n\u0131 ve \u00fcr\u00fcn g\u00fcvenli\u011fini art\u0131rma \u00e7abalar\u0131n\u0131 i\u00e7erir.<\/span><\/p>\n<h3 id=\"5-eglence-sektoru\"><b>5. E\u011flence sekt\u00f6r\u00fc<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">Veri madencili\u011fi, ak\u0131\u015f hizmetleri taraf\u0131ndan kullan\u0131c\u0131lar\u0131n ne izledi\u011fini veya dinledi\u011fini analiz etmek ve izleme ve dinleme al\u0131\u015fkanl\u0131klar\u0131na g\u00f6re ki\u015fiselle\u015ftirilmi\u015f \u00f6neriler yapmak i\u00e7in kullan\u0131l\u0131r.<\/span><\/p>\n<h3 id=\"6-saglik-hizmetleri\"><b>6. Sa\u011fl\u0131k hizmetleri<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">Doktorlar t\u0131bbi durumlar\u0131 te\u015fhis etmek, hastalar\u0131 tedavi etmek ve r\u00f6ntgen ve di\u011fer t\u0131bbi g\u00f6r\u00fcnt\u00fcleme sonu\u00e7lar\u0131n\u0131 analiz etmek i\u00e7in veri madencili\u011fini kullanabilir. Veri madencili\u011fi, makine \u00f6\u011frenimi ve di\u011fer analitik bi\u00e7imleri de t\u0131bbi ara\u015ft\u0131rmalarda yo\u011fun olarak kullan\u0131lmaktad\u0131r.<\/span><\/p>\n<h3 id=\"7-akademik\"><b>7. \u200b\u200bAkademik<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">Veri madencili\u011fi akademik ara\u015ft\u0131rmalar\u0131 h\u0131zland\u0131rarak daha kesin ve do\u011fru hale getirir. E\u011fitimciler bu arac\u0131 \u00f6\u011frencilerinin performans\u0131n\u0131 tahmin etmek ve takip etmek i\u00e7in kullanabilir, b\u00f6ylece kimin di\u011ferlerinden daha fazla yard\u0131ma ihtiyac\u0131 olabilece\u011fini anlayabilirler.<\/span><\/p>\n<h3 id=\"8-pazarlama\"><b>8. Pazarlama<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">Yap\u0131land\u0131r\u0131lm\u0131\u015f ve kullan\u0131ma haz\u0131r bilgiler, hedefleme ve di\u011fer pazarlama s\u00fcre\u00e7lerini \u00e7ok daha basit hale getirir. Pazarlama uzmanlar\u0131 verileri daha etkili bir \u015fekilde analiz edebilir ve bunlarla \u00e7al\u0131\u015fabilir. Veri madencili\u011fi sayesinde m\u00fc\u015fteri davran\u0131\u015flar\u0131n\u0131 tahmin etmek ve kampanyalar\u0131n verimlili\u011fini art\u0131rmak onlar i\u00e7in \u00e7ok kolayd\u0131r.<\/span><\/p>\n<h3 id=\"9-musteri-sadakati\"><b>9. M\u00fc\u015fteri sadakati<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">\u0130\u015fletmeler, \u00f6zellikle perakendeciler, sadakat programlar\u0131 arac\u0131l\u0131\u011f\u0131yla muazzam miktarda veri \u00fcretir. Veri madencili\u011fi, bu i\u015fletmelerin bu veriler arac\u0131l\u0131\u011f\u0131yla m\u00fc\u015fteri ili\u015fkileri kurmas\u0131na ve geli\u015ftirmesine olanak tan\u0131r. \u00d6rne\u011fin, m\u00fc\u015fterileri sepet toplamlar\u0131na, al\u0131\u015fveri\u015f s\u0131kl\u0131klar\u0131na ve haftal\u0131k market harcamalar\u0131na g\u00f6re k\u00fcmeleyerek, perakendeciler m\u00fc\u015fterilere bir harcama seviyesine kadar i\u00e7in indirimler sunabilir (\u00f6rne\u011fin, 50 TL harcay\u0131n, 5 TL indirim kazan\u0131n; 75 TL harcay\u0131n, 10 TL indirim kazan\u0131n). Bu sadece m\u00fc\u015fteriyi al\u0131\u015fveri\u015f yapmaya te\u015fvik etmekle kalmaz, ayn\u0131 zamanda rakipler taraf\u0131ndan hedeflenen paray\u0131 da elde tutmaya yard\u0131mc\u0131 olur.<\/span><\/p>\n<h2 id=\"veri-madenciligi-vs-veri-analitigi-vs-veri-ambari\"><b>Veri Madencili\u011fi vs Veri Analiti\u011fi vs Veri Ambar\u0131<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">Veri madencili\u011fi ve veri analiti\u011fi bazen birbirinin yerine kullan\u0131lmaktad\u0131r. Bununla birlikte, \u00f6ncelikle tespit edilemeyecek bilgileri ke\u015ffetmek i\u00e7in b\u00fcy\u00fck veri k\u00fcmelerinin analizini otomatikle\u015ftiren bir veri analiti\u011fi alt k\u00fcmesi olarak kabul edilir. Bu veriler veri bilimi s\u00fcrecinde ve di\u011fer i\u015f zekas\u0131 ve analitik uygulamalar\u0131nda kullan\u0131labilir.<\/span><\/p>\n<p><a href=\"https:\/\/bulutistan.com\/blog\/veri-ambari-data-warehouse\/\"><span style=\"font-weight: 400;\">Veri ambar\u0131<\/span><\/a><span style=\"font-weight: 400;\">, veri setleri i\u00e7in bir depo g\u00f6revi g\u00f6rerek veri madencili\u011fine yard\u0131mc\u0131 olur. Tarihsel olarak, ge\u00e7mi\u015f veriler kurumsal veri ambarlar\u0131nda veya bireysel i\u015f birimleri ya da belirli veri alt k\u00fcmeleri i\u00e7in tasarlanm\u0131\u015f daha k\u00fc\u00e7\u00fck veri haritalar\u0131nda depolanm\u0131\u015ft\u0131r. Ge\u00e7mi\u015f ve ak\u0131\u015f verilerini tutan ve Hadoop ve Spark gibi b\u00fcy\u00fck veri platformlar\u0131na, NoSQL veri tabanlar\u0131na veya bulut nesne depolama hizmetlerine dayanan veri g\u00f6lleri, art\u0131k veri madencili\u011fi uygulamalar\u0131na hizmet etmek i\u00e7in s\u0131kl\u0131kla kullan\u0131lmaktad\u0131r.<\/span><\/p>\n<h2 id=\"veri-madenciligi-ile-web-kazima-arasindaki-fark-nedir\"><b>Veri Madencili\u011fi ile Web Kaz\u0131ma Aras\u0131ndaki Fark Nedir?<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">Web kaz\u0131ma, web sitelerinden veri \u00e7\u0131karma i\u015flemidir. Veri madencili\u011fi ise b\u00fcy\u00fck veri setlerinden de\u011ferli bilgilerin \u00e7\u0131kar\u0131lmas\u0131 i\u015flemidir.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Web kaz\u0131ma, daha sonra veri madencili\u011fi yapaca\u011f\u0131n\u0131z web sitelerinden veri toplamak i\u00e7in kullan\u0131labilir. Veri madencili\u011fi, verilerdeki kal\u0131p ve e\u011filimleri belirlemek i\u00e7in algoritmalar kullanarak bir ad\u0131m daha ileri gider.<\/span><\/p>\n<p><a href=\"https:\/\/bulutistan.com\/blog\/veri-madenciligi-data-mining-nedir-nasil-yapilir\/\"><span style=\"font-weight: 400;\">Veri madencili\u011fi<\/span><\/a><span style=\"font-weight: 400;\"> tahminler veya \u00f6neriler yapmak i\u00e7in kullan\u0131labilirken, web kaz\u0131ma sadece veri toplamak i\u00e7in kullan\u0131labilir.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Bulutistan hizmetlerinin detaylar\u0131na ula\u015fmak i\u00e7in <\/span><a href=\"https:\/\/bulutistan.com\/cloud\/\"><span style=\"font-weight: 400;\">t\u0131klay\u0131n\u0131z<\/span><\/a><span style=\"font-weight: 400;\">.<\/span><\/p>\n<h2 id=\"makine-ogrenimi-ve-veri-madenciligi-arasindaki-iliski\"><b>Makine \u00d6\u011frenimi ve Veri Madencili\u011fi Aras\u0131ndaki \u0130li\u015fki<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">Veri madencili\u011fi, veri setlerinin \u00f6zelliklerini ke\u015ffetmeye odaklanan disiplinleraras\u0131 bir alan olarak a\u00e7\u0131klanabilir.<\/span><\/p>\n<p><a href=\"https:\/\/bulutistan.com\/blog\/machine-learning\/\"><span style=\"font-weight: 400;\">Makine \u00f6\u011frenimi<\/span><\/a><span style=\"font-weight: 400;\"> ise veri biliminin bir alt alan\u0131 olup, \u00f6\u011frenebilen ve tahmine dayal\u0131 analizler yapabilen algoritmalar tasarlamaya odaklan\u0131r. Hem denetimli \u00f6\u011frenme hem de denetimsiz \u00f6\u011frenme y\u00f6ntemlerini i\u00e7erir. Denetimsiz y\u00f6ntemler asl\u0131nda etiketlenmemi\u015f veri k\u00fcmelerinden yola \u00e7\u0131kar, bu nedenle bir bak\u0131ma do\u011frudan veri k\u00fcmelerindeki bilinmeyen \u00f6zellikleri (\u00f6rne\u011fin k\u00fcmeler veya kurallar) bulmakla ilgilidir.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Makine \u00f6\u011frenimi veri madencili\u011fi i\u00e7in kullan\u0131labilir. Bununla birlikte, makine \u00f6\u011freniminin yan\u0131 s\u0131ra veya \u00fcst\u00fcnde ba\u015fka teknikler de kullanabilir.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"B\u00fcy\u00fck verinin ba\u015far\u0131n\u0131n ba\u015fl\u0131ca ara\u00e7lar\u0131ndan biri oldu\u011fu g\u00fcn\u00fcm\u00fczde, i\u015fletmeler giderek daha fazla veriyi kendi k\u00e2rlar\u0131 i\u00e7in kullanmaya \u00e7al\u0131\u015fmaktad\u0131r.&hellip;\n","protected":false},"author":1,"featured_media":4036,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"csco_singular_sidebar":"","csco_page_header_type":"","csco_appearance_grid":"","csco_page_load_nextpost":"","csco_post_video_location":[],"csco_post_video_location_hash":"","csco_post_video_url":"","csco_post_video_bg_start_time":0,"csco_post_video_bg_end_time":0},"categories":[2],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v20.9 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Veri Madencili\u011fi (Data Mining) Nedir? 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