Figure 5 Performance Measure Results for SBIRM and DDMDWT
Related Figures (5)
In order to reduce the complexity of the documents and make them easier to handle, the dataset had to be transformed from the full-text version of documents. In each dataset, it’s important to define the content of each document. A definition of a document is that it is made of a joint membership of terms which have various patterns of occurrence (Meadow, 1992). Our dataset (The Holy Quran) can represent documents in different forms. Table 1 shows some statistics about the Holy Quran define various document representation 3.1 Document representation Figure 3: Basic Structure of IR using DDMDWT The average of words in a document on our dataset equal 13 with variation equal to ten. There is a document with one word, on the other hand, there is another which contains 124 words. Not to mention the fact that assign each one of the previous document to the same number of bins is wasted in index space. Table 2: Results of the proposed DDMDWT Model against SBIRM Model.
