Dipti P. Rana

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Classification is a data mining (DM) technique used to predict or forecast the unknown information using the historical data. There are many classification techniques. ID3 is a very popular tree based classification algorithm for a categorical data which does not support continuous data. Attribute selection process plays major role in building a(More)
—In real world, the huge amount of temporal data is to be processed in many application areas such as scientific, financial, network monitoring, sensor data analysis. Data mining techniques are primarily oriented to handle discrete features. In the case of temporal data the time plays an important role on the characteristics of data. To consider this(More)
— In recent years, stream data have become an immensely growing area of research for the database, computer science and data mining communities. Stream data is an ordered sequence of instances. In many applications of data stream mining data can be read only once or a small number of times using limited computing and storage capabilities. Some of the issues(More)
The logical view of data is a two dimensional table and the physical storage is a single dimensional. Two approaches exist to map two dimensional data on to a single dimensional storage: Row oriented and Column oriented. Common database applications are developed using traditional row-oriented database systems. Data Mining (DM) is a promising research area,(More)
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