{"id":4434,"date":"2020-04-06T16:52:11","date_gmt":"2020-04-06T13:52:11","guid":{"rendered":"http:\/\/www.alfapatent-stanadvoka.com\/?p=4434"},"modified":"2021-01-12T16:37:45","modified_gmt":"2021-01-12T13:37:45","slug":"t1159-15","status":"publish","type":"post","link":"https:\/\/www.alfapatent-stanadvoka.com\/tr\/t1159-15\/","title":{"rendered":"06.04.2020 \/T 1159\/15 \/MODEL DETERMINATION SYSTEM  \/ACCENTURE"},"content":{"rendered":"<p><a href=\"https:\/\/worldwide.espacenet.com\/publicationDetails\/biblio?DB=EPODOC&amp;II=0&amp;ND=3&amp;adjacent=true&amp;locale=en_EP&amp;FT=D&amp;date=20110112&amp;CC=EP&amp;NR=2273431A1&amp;KC=A1\">EP 2 273 431<\/a>\u00a0numaral\u0131 patent ba\u015fvurusu \u0130nceleme Birimi taraf\u0131ndan reddedilmi\u015ftir. Temyiz sahibi temyiz dilek\u00e7esinin ekinde sundu\u011fu alttaki istem setine dayal\u0131 olarak \u0130nceleme Birimi\u2019nin karar\u0131n\u0131n bozulmas\u0131n\u0131 talep etmi\u015ftir:<\/p>\n<blockquote><p>\u201cA system configured to determine a final model operable to be used to forecast information for an objective, the system comprising:<\/p>\n<p>a variable determination module (201) determining at least one variable operable to be used for the final model and determining a modification to the at least one variable;<\/p>\n<p>an assumption determination module (202) determining an assumption operable to be used for the final model, wherein the assumption includes a transformation for the at least one variable describing how the at least one variable impacts the objective or how the at least one variable impacts another variable operable to be used in the final model, and the assumption module determines a modification to the assumption;<\/p>\n<p>a model generator (203) generating a candidate model using the at least one variable and the assumption, and generating a new candidate model using at least one of the modified assumption, the new variable and the modification to the at least one variable; and<\/p>\n<p>a model evaluation module (204), executable by a computer, and determining a statistical measure and an indication of relevance for the at least one variable in each of the candidate model and the new candidate model, wherein one of the candidate model and the new candidate model is operable to be selected as the final model based on at least one of the statistical measure and the indication of relevance for the at least one variable in each of the candidate model and the new candidate model;<\/p>\n<p>wherein the at least one variable comprises a multidimensional variable, and each dimension includes a plurality of levels, and the variable determination module identifies the dimension and a level of the plurality of levels for the at least one variable, and wherein each dimension is organized in a hierarchy; the system further comprising:<\/p>\n<p>a multidimensional data storage system storing information for models generated by the model generator, including the candidate model, the new candidate model and the final model, wherein the multidimensional storage system uses a meta data layer (401) and a data layer (402) to store the information,<\/p>\n<p>the meta data layer (401) storing a relationship between the at least one variable and the objective, an indication of the at least one variable, the dimension and the level for the at least one variable, and the assumptions for each of the candidate model, the new candidate model and the final model; and<\/p>\n<p>the data layer (402) including data for the at least one variable in each of the candidate model, the new candidate model and the final model;<\/p>\n<p>wherein the meta data layer (401) stores aggregation rules for the at least one variable, and the storage system is configured to perform multidimensional queries using the aggregation rules stored in the meta data layer (401); and<\/p>\n<p>wherein the data layer (402) includes data that is at the lowest level of each dimension, wherein the aggregation rules determine how to aggregate up from a lower level in a hierarchical dimension to higher levels in the dimension and what transformations to apply for each level.\u201d<\/p><\/blockquote>\n<p>Esasen bulu\u015f, depolanan bilgiye, de\u011fi\u015fkenlere ve ko\u015fullara dayal\u0131 matematiksel modeller olu\u015fturma ile ilgilidir. De\u011fi\u015fkenler ve ko\u015fullar de\u011fi\u015ftirilerek hedef modeller olu\u015fturulur ve de\u011ferlendirilir. Hedef modellerden biri yap\u0131lan de\u011ferlendirmelere dayanarak nihai model olarak se\u00e7ilir ve tahmin ama\u00e7l\u0131 temel model olarak kullan\u0131l\u0131r. \u00d6rnek olarak, bir \u00fcr\u00fcn\u00fcn sat\u0131\u015f\u0131yla ilgili modeller a\u00e7\u0131klanm\u0131\u015ft\u0131r. Olas\u0131 sat\u0131\u015flar\u0131 tahmin etmeye \u00e7al\u0131\u015fan \u00e7e\u015fitli de\u011fi\u015fkenlere (\u00f6rne\u011fin fiyat, co\u011frafi da\u011f\u0131l\u0131m, reklam maliyeti) ve varsay\u0131mlara (\u00f6rn. daha y\u00fcksek fiyatlar sat\u0131\u015flar\u0131 d\u00fc\u015f\u00fcr\u00fcr veya sat\u0131\u015f maliyetlerini artt\u0131r\u0131r) dayal\u0131 olarak, bir i\u015f plan\u0131 olu\u015fturmak i\u00e7in temel hedef model belirlenmektedir.<\/p>\n<p>Ret karar\u0131n\u0131 veren \u0130nceleme Dairesi ana istemin teknik ve teknik olmayan unsurlardan olu\u015fan bir istem oldu\u011funu ve ana istemdeki tek teknik \u00f6\u011fenin genel ama\u00e7lara hizmet eden standart bir bilgisayar oldu\u011funu ifade etmektedir. \u0130nceleme Dairesi\u2019ne g\u00f6re istemin geri kalan b\u00f6l\u00fcm\u00fc sadece i\u015f yapma y\u00f6ntemlerine ili\u015fkin \u00f6\u011feler a\u00e7\u0131klad\u0131\u011f\u0131ndan istemin patentlenebilirli\u011fini tart\u0131\u015fmak i\u00e7in kar\u015f\u0131 kan\u0131t ve dok\u00fcman atf\u0131 yapmaya gerek bulunmamaktad\u0131r. Teknik unsurlar ile teknik olmayan unsurlar aras\u0131nda g\u00f6ze \u00e7arpan bir teknik etkile\u015fim bulunmamaktad\u0131r.<\/p>\n<p>Ba\u015fvurunun ara\u015ft\u0131rma raporu istemdeki tek teknik unsuru tekni\u011fin bilinen durumunun son derece yayg\u0131n bir unsuru olan genel standart bir bilgisayar olmas\u0131 nedeniyle ara\u015ft\u0131rma yap\u0131lmad\u0131\u011f\u0131na dar bir bildirim i\u00e7ermektedir. \u0130nceleme Dairesi inceleme s\u0131ras\u0131nda da herhangi bir yay\u0131na at\u0131f yapmam\u0131\u015ft\u0131r. Di\u011fer yandan temyiz sahibine g\u00f6re en az\u0131ndan \u015fu unsurlar teknik niteliktedir:<\/p>\n<blockquote><p>&#8220;a multidimensional data storage system storing information for models generated by the model generator, including the candidate model, the new candidate model and the final model, wherein the multidimensional storage system uses a meta data layer (401) and a data layer (402) to store the information,<\/p>\n<p>&#8230;<\/p>\n<p>wherein the metadata layer (401) stores aggregation rules for the at least one variable, and the storage system is configured to perform multidimensional queries using the aggregation rules stored in the meta data layer (401); and<\/p>\n<p>wherein the data layer (402) includes data that is at the lowest level of each dimension, wherein the aggregation rules determine how to aggregate up from a lower level in a hierarchical dimension to higher levels in the dimension and what transformation to apply for each level&#8221;.<\/p><\/blockquote>\n<p>Temyiz sahibi \u00fcstteki \u00f6zelliklerin \u201c\u00e7ok yayg\u0131n bi\u00e7imde bilinen\u201d unsurlar kategorisine al\u0131namayaca\u011f\u0131n\u0131\u201d, tan\u0131mlanan sistemin veri depolaman\u0131n belirli bir yolunu tan\u0131mlad\u0131\u011f\u0131n\u0131 ileri s\u00fcrmektedir. Temyiz sahibi ayr\u0131ca bu unsurlar\u0131n teknik etkilerinin konu hakk\u0131nda uzman kimse i\u00e7in genel ama\u00e7l\u0131 bir bilgisayar ba\u015flang\u0131\u00e7 noktas\u0131 olarak al\u0131n\u0131rsa a\u015fikar olmad\u0131\u011f\u0131n\u0131 ifade etmektedir.<\/p>\n<p>Tan\u0131mlanan veri depolama sistemi \u00e7ok boyutludur ve bilgiyi depolamak i\u00e7in bir meta veri katman\u0131 ve ek bir veri katman\u0131 i\u00e7ermektedir. De\u011fi\u015fkenler veri katman\u0131nda saklanmakta ve bu de\u011fi\u015fkenlerin hiyerar\u015fide d\u00fczenlenmi\u015f boyutlar\u0131 (\u00f6znitelikleri) bulunmaktad\u0131r. Hiyerar\u015fi, her bir boyut i\u00e7in alt \u00f6zellikler veya seviyeler i\u00e7erebilir. \u00d6rne\u011fin, bir boyut co\u011frafya verisi iken, hiyerar\u015fideki d\u00fczeyler \u00fclke, b\u00f6lge, \u015fehir ve posta kodu olabilir. Meta veri katman\u0131 ayn\u0131 zamanda saklanan veriler i\u00e7in toplama kurallar\u0131n\u0131 saklamaktad\u0131r. Toplama kurallar\u0131, bir hiyerar\u015fide daha d\u00fc\u015f\u00fck bir seviyeden daha y\u00fcksek bir seviyeye verinin nas\u0131l ta\u015f\u0131naca\u011f\u0131n\u0131 ve her seviye i\u00e7in hangi d\u00f6n\u00fc\u015f\u00fcm\u00fcn uygulanaca\u011f\u0131n\u0131 a\u00e7\u0131klamaktad\u0131r.<\/p>\n<p>Temyiz Heyeti\u2019nin g\u00f6r\u00fc\u015f\u00fcne g\u00f6re tan\u0131mlanan veri iki t\u00fcr farkl\u0131 veri i\u00e7ermektedir. \u0130lk t\u00fcr veri de\u011fi\u015fkenler, varsay\u0131mlar vb. \u0130le ilgili temel bilgiler gibi mant\u0131ksal i\u00e7eri\u011fi kodlayan bili\u015fsel d\u00fczeyde verilerden olu\u015fmaktad\u0131r. Bu veriler modellerin olu\u015fturulmas\u0131nda kullan\u0131l\u0131r. \u0130kinci t\u00fcr veri ise herhangi bir bili\u015fsel i\u00e7erikle ilgili olmayan, ancak sorgulara yan\u0131t verirken sistemin \u00e7al\u0131\u015fmas\u0131yla ilgili talimatlar olan toplama kurallar\u0131ndan olu\u015fmaktad\u0131r. Dolay\u0131s\u0131yla bu veriler &#8220;fonksiyonel veriler&#8221; olarak nitelendirilebilir. Bu yap\u0131land\u0131rma, sistemin hiyerar\u015filerdeki farkl\u0131 d\u00fczeylerde \u00e7ok boyutlu sorgulara yan\u0131t vermesini sa\u011flamaktad\u0131r (<a href=\"https:\/\/www.epo.org\/law-practice\/case-law-appeals\/recent\/t971194ex1.html\">T 1194\/97<\/a>).<\/p>\n<p>Temyiz Kurulu teknik \u00f6\u011feler ile teknik olmayan \u00f6\u011feler aras\u0131ndaki yukar\u0131daki tan\u0131ml\u0131 etkile\u015fimin bir i\u015f yapma y\u00f6ntemini uygulayan standart bir bilgisayardaki standart y\u00f6ntem-donan\u0131m etkile\u015fiminin \u00f6tesine ge\u00e7ti\u011fini ifade etmi\u015ftir. \u00a0Temyiz Kurulu g\u00f6r\u00fc\u015f\u00fcne g\u00f6re istemde ara\u015ft\u0131rma yapmaya ihtiya\u00e7 olmaks\u0131z\u0131n yayg\u0131n olarak bilindi\u011fi a\u00e7\u0131k olmayan en az bir unsur olmas\u0131 halinde ara\u015ft\u0131rman\u0131n ger\u00e7ekle\u015ftirilmesi prensibi EPO i\u00e7tihat hukukunun bir par\u00e7as\u0131 oldu\u011fundan mevcut vakada da ara\u015ft\u0131rma yap\u0131lmas\u0131 gerekmektedir. Dosya ara\u015ft\u0131rma ve inceleme yap\u0131lmas\u0131 emriyle \u0130nceleme Dairesi&#8217;ne iletilmi\u015ftir.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>EP 2 273 431\u00a0numaral\u0131 patent ba\u015fvurusu \u0130nceleme Birimi taraf\u0131ndan reddedilmi\u015ftir. Temyiz sahibi temyiz dilek\u00e7esinin ekinde sundu\u011fu alttaki istem setine dayal\u0131<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[112],"tags":[],"class_list":["post-4434","post","type-post","status-publish","format-standard","hentry","category-t-kararlar"],"_links":{"self":[{"href":"https:\/\/www.alfapatent-stanadvoka.com\/tr\/wp-json\/wp\/v2\/posts\/4434","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.alfapatent-stanadvoka.com\/tr\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.alfapatent-stanadvoka.com\/tr\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.alfapatent-stanadvoka.com\/tr\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.alfapatent-stanadvoka.com\/tr\/wp-json\/wp\/v2\/comments?post=4434"}],"version-history":[{"count":1,"href":"https:\/\/www.alfapatent-stanadvoka.com\/tr\/wp-json\/wp\/v2\/posts\/4434\/revisions"}],"predecessor-version":[{"id":4435,"href":"https:\/\/www.alfapatent-stanadvoka.com\/tr\/wp-json\/wp\/v2\/posts\/4434\/revisions\/4435"}],"wp:attachment":[{"href":"https:\/\/www.alfapatent-stanadvoka.com\/tr\/wp-json\/wp\/v2\/media?parent=4434"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.alfapatent-stanadvoka.com\/tr\/wp-json\/wp\/v2\/categories?post=4434"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.alfapatent-stanadvoka.com\/tr\/wp-json\/wp\/v2\/tags?post=4434"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}