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text documents. Data mining techniques are often used for discovering the concealed knowledge from the available sources of information.

Figure 1 text documents. Data mining techniques are often used for discovering the concealed knowledge from the available sources of information.

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terms returns the associated terms in the common clusters.
terms returns the associated terms in the common clusters.
Table 1: The co-occurrence of term ''child"' with other terms in news (Nizamani, 2014)
Table 1: The co-occurrence of term ''child"' with other terms in news (Nizamani, 2014)
Table 4: The co-occurrence of the term ''man" with other terms in news (Nizamani, 2014)
Table 4: The co-occurrence of the term ''man" with other terms in news (Nizamani, 2014)
Fig.2: Cluster and association based news analysis process (Nizamani, 2014) Fig.4: Word cloud extracted from news of Albuquerque, New Mexico (Nizamani, 2014)
Fig.2: Cluster and association based news analysis process (Nizamani, 2014) Fig.4: Word cloud extracted from news of Albuquerque, New Mexico (Nizamani, 2014)
Table 2: The Co-Occurrence Of Term "Bank" With Other Terms In news (Nizamani, 2014) In the news of Albuquerque city, a number of news are about the "sentencing of man in prison". Table 3 illustrates the relationship of "sentenced" to other terms. It can be determined in the word cloud that the term "man" is the most striking term which appeared 144 times in the news headings. When we further analyzed the term using associations, it gives clear understanding of the term's involvement in the news. (Table 4) delivers the co-occurrence relationship of the term "man" with the other terms in the news.
Table 2: The Co-Occurrence Of Term "Bank" With Other Terms In news (Nizamani, 2014) In the news of Albuquerque city, a number of news are about the "sentencing of man in prison". Table 3 illustrates the relationship of "sentenced" to other terms. It can be determined in the word cloud that the term "man" is the most striking term which appeared 144 times in the news headings. When we further analyzed the term using associations, it gives clear understanding of the term's involvement in the news. (Table 4) delivers the co-occurrence relationship of the term "man" with the other terms in the news.
Table 3: The co-occurrence of the term ''sentenced" with other terms in news (Nizamani, 2014)
Table 3: The co-occurrence of the term ''sentenced" with other terms in news (Nizamani, 2014)
Table 5: The co-occurrence of the term ''assault" with other terms in news (Nizamani, 2014)
Table 5: The co-occurrence of the term ''assault" with other terms in news (Nizamani, 2014)
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