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In today's digital world scenario, digital data is coming in and going out faster than ever before. This data is of no use until we extract some useful content from it. But, it is impractical and inefficient to use traditional database management techniques on big data. That's why, big data technologies like Hadoop comes to existence. Hadoop is an open source framework, which can be used to process...
With the phenomenal increase in digital data, it is inefficient to run the traditional clustering algorithms on separate servers. To deal with this problem, researchers are migrating to distribute environment to implement the traditional clustering algorithms, more specifically K-means clustering. In traditional K Means Clustering, the problem of instability caused by the random initial centers exists...
From a previous survey, 45% of users did not get what they are actually looking for in the web using any search engine. Suppose, you have a million of text file in your server or in your computer, then there is a need to categorize them on the basis of their content in a very efficient way. As a result, IR (Information Retrieval) tool has been developed, it provides a more effective ways for users...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.