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  • 标题:Usage of Data Mining at Financial Decision Making
  • 本地全文:下载
  • 作者:Mehmet ÖZKAN ; Levent BORAN
  • 期刊名称:Çankırı Karatekin Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi
  • 印刷版ISSN:1308-5549
  • 电子版ISSN:2147-4206
  • 出版年度:2014
  • 卷号:4
  • 期号:1
  • 页码:59-82
  • 语种:English
  • 出版社:Çankırı Karatekin University
  • 摘要:The knowledge age requires controlling every kind of information.Recognition of patterns in data may provide previously unknown and useful information that can provide competitive advantages.If related techniques are applied on financial statements,it is possible to acquire valuable information about companies’ financial situations.It is considered that data mining could be an alternative of common financial analysis techniques such as vertical analysis,horizontal analysis,trend analysis and ratio analysis.Against existing financial analysis methods,data mining provides some advantages,which are ability of manipulation of huge data and competence of obtaining previously unknown information.There exist two major constraints of data mining implementation that are lack of experts on both data mining and related domains and cost of computer software and hardware used.
  • 其他摘要:Çağımız bilgi çağı olup,her türlü bilgiye sahip olmayı gerektirmektedir.Veri içinden analizler yapılarak anlamlı örüntüler çıkartıldığında pek çok kimse tarafından bilinmeyen,rakiplerin önüne geçilmesini olanak veren anlamlı bilgiler elde edilebilir.İlgil
  • 关键词:Financial Statement Analysis;Data Mining;Clustering Analysis
  • 其他关键词:Finansal Tablo Analizi;Veri Madenciliği;Kümeleme Analizi
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