Abstrait

Data Representation in web portals

Dr.A.Muthu Kumaravel

Data mining is a process of inferring knowledge from huge volume of 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 sources. 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 anomalous data, and standardizing data formats. 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.