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  • 标题:Data Representation in web portals
  • 本地全文:下载
  • 作者:DR.A.MUTHU KUMARAVEL
  • 期刊名称:International Journal of Innovative Research in Computer and Communication Engineering
  • 印刷版ISSN:2320-9798
  • 电子版ISSN:2320-9801
  • 出版年度:2014
  • 卷号:2
  • 期号:9
  • 出版社:S&S Publications
  • 摘要:Data mining is a process of inferring knowledge from huge volume o f data. Data mining can be carried out on data represented in quantitative, textual, or multimedia forms. Online information systems are characterized by the presentation of a large amount of data to a wide audience, the quality of which can be very heterogeneous. The information systems on the web need to publish good quality of information in the shortest possible time after it is available from information so urces. Quality data have to be perfect, accurate, complete, consistent, timely, and flexible enough to meet user needs. Data Quality is a very important aspect in web services. To perk up data quality, it is now and then necessary to dirt free the data, which can involve the removal of duplicate records, normalizing the values used to represent information in the database, accounting for missing data points, removing unnecessary data fields, identifying ano malous data, and standardizing data format s. The Quality of the data presented by the web portals has to be analyzed. Intrinsic and representational categories of data quality are very important in the web portal to give the data in most effective manner. This paper presents the study about the attributes of quality representation of data and a case study about how effective, the data representation has been made with "Science & Technology" column of .The Hindu. daily news paper web portal.
  • 关键词:Data Quality; Intrinsic DQ; Representational DQ; Web Portal
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