Design an Approach for Finding the Similarity between the Documents

Now a days Data Management is very important issue. Data on cloud is very large in size. Web users need tools to manage information easily. If tried to do manually this is cumbersome and time consuming process because there are many near-duplicate results. The efficient detection of near-duplicate articles is very important in many applications that have a large amount of data available for a specific requirement depending upon the task in hand. We are introducing algorithm for extracting key-phrases and matching signatures for nearduplicate articles detection. Based on N-gram (i.e. bigram & trigram) algorithm for key phrase extraction & JACCARD similarity for finding similarity between documents. Algorithms are applied on article and text Documents and result shows that our proposed methods are more effective than other existing method

Design an Approach for Finding the Similarity between the Documents

Now a days Data Management is very important issue. Data on cloud is very large in size. Web users need tools to manage information easily. If tried to do manually this is cumbersome and time consuming process because there are many near-duplicate results. The efficient detection of near-duplicate articles is very important in many applications that have a large amount of data available for a specific requirement depending upon the task in hand. We are introducing algorithm for extracting key-phrases and matching signatures for nearduplicate articles detection. Based on N-gram (i.e. bigram & trigram) algorithm for key phrase extraction & JACCARD similarity for finding similarity between documents. Algorithms are applied on article and text Documents and result shows that our proposed methods are more effective than other existing method

Design an Approach for Finding the Similarity between the Documents

Now a days Data Management is very important issue. Data on cloud is very large in size. Web users need tools to manage information easily. If tried to do manually this is cumbersome and time consuming process because there are many near-duplicate results. The efficient detection of near-duplicate articles is very important in many applications that have a large amount of data available for a specific requirement depending upon the task in hand. We are introducing algorithm for extracting key-phrases and matching signatures for nearduplicate articles detection. Based on N-gram (i.e. bigram & trigram) algorithm for key phrase extraction & JACCARD similarity for finding similarity between documents. Algorithms are applied on article and text Documents and result shows that our proposed methods are more effective than other existing method

Antibiogram of Escherichia coli and Staphylococcus aureus Isolated from Milk Sold in Kathmandu District

The emergence of antibiotic resistance in microorganisms and the presence of such isolates in milk pose a great risk to public health. Therefore, this study aims to determine the antibiotic susceptibility pattern of Escherichia coli and Staphylococcus aureus isolated from milk and assess the microbial quality of milk. For this, a total of 70 milk samples were collected and the total bacterial count (TBC) was determined. E. coli and S. aureus were isolated using their respective selective media while antibiotic susceptibility testing was carried out by Kirby Bauer Disc Diffusion method. The TBC showed that the raw milk samples contained two-fold higher microbial load while the pasteurized milk samples contained four-fold higher microbial loads than the standard guidelines. A total of 62 isolates were identified from culture-positive milk samples of which 32 were E. coli and 30 were S. aureus. A significant correlation was observed between microbial load and the organism isolated (r = 0.339, p<0.01). All S. aureus isolates were susceptible to Chloramphenicol while 40% were resistant to Cefoxitin, indicating the presence of Methicillin resistant S. aureus (MRSA). Also, 12 multidrug resistant (MDR) S. aureus were identified. While for E. coli, all were susceptible to Chloramphenicol but resistant to Ampicillin. Also, 9 MDR E. coli were detected. Higher resistance was observed among isolates from the raw milk samples than the pasteurized milk. It can be concluded that the milk produced by small-scale farms and dairy industries of Kathmandu district are of poor quality. Hence, routine microbial quality assessment and antimicrobial resistance monitoring should be followed to safeguard public health

Design an Approach for Finding the Similarity between the Documents

Now a days Data Management is very important issue. Data on cloud is very large in size. Web users need tools to manage information easily. If tried to do manually this is cumbersome and time consuming process because there are many near-duplicate results. The efficient detection of near-duplicate articles is very important in many applications that have a large amount of data available for a specific requirement depending upon the task in hand. We are introducing algorithm for extracting key-phrases and matching signatures for nearduplicate articles detection. Based on N-gram (i.e. bigram & trigram) algorithm for key phrase extraction & JACCARD similarity for finding similarity between documents. Algorithms are applied on article and text Documents and result shows that our proposed methods are more effective than other existing method

Design an Approach for Finding the Similarity between the Documents

Now a days Data Management is very important issue. Data on cloud is very large in size. Web users need tools to manage information easily. If tried to do manually this is cumbersome and time consuming process because there are many near-duplicate results. The efficient detection of near-duplicate articles is very important in many applications that have a large amount of data available for a specific requirement depending upon the task in hand. We are introducing algorithm for extracting key-phrases and matching signatures for nearduplicate articles detection. Based on N-gram (i.e. bigram & trigram) algorithm for key phrase extraction & JACCARD similarity for finding similarity between documents. Algorithms are applied on article and text Documents and result shows that our proposed methods are more effective than other existing method

Design an Approach for Finding the Similarity between the Documents

Now a days Data Management is very important issue. Data on cloud is very large in size. Web users need tools to manage information easily. If tried to do manually this is cumbersome and time consuming process because there are many near-duplicate results. The efficient detection of near-duplicate articles is very important in many applications that have a large amount of data available for a specific requirement depending upon the task in hand. We are introducing algorithm for extracting key-phrases and matching signatures for nearduplicate articles detection. Based on N-gram (i.e. bigram & trigram) algorithm for key phrase extraction & JACCARD similarity for finding similarity between documents. Algorithms are applied on article and text Documents and result shows that our proposed methods are more effective than other existing method

Design an Approach for Finding the Similarity between the Documents

Now a days Data Management is very important issue. Data on cloud is very large in size. Web users need tools to manage information easily. If tried to do manually this is cumbersome and time consuming process because there are many near-duplicate results. The efficient detection of near-duplicate articles is very important in many applications that have a large amount of data available for a specific requirement depending upon the task in hand. We are introducing algorithm for extracting key-phrases and matching signatures for nearduplicate articles detection. Based on N-gram (i.e. bigram & trigram) algorithm for key phrase extraction & JACCARD similarity for finding similarity between documents. Algorithms are applied on article and text Documents and result shows that our proposed methods are more effective than other existing method

Design an Approach for Finding the Similarity between the Documents

Now a days Data Management is very important issue. Data on cloud is very large in size. Web users need tools to manage information easily. If tried to do manually this is cumbersome and time consuming process because there are many near-duplicate results. The efficient detection of near-duplicate articles is very important in many applications that have a large amount of data available for a specific requirement depending upon the task in hand. We are introducing algorithm for extracting key-phrases and matching signatures for near-duplicate articles detection. Based on N-gram (i.e. bigram & trigram) algorithm for key phrase extraction & JACCARD similarity for finding similarity between documents. Algorithms are applied on article and text Documents and result shows that our proposed methods are more effective than other existing method