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Translation results Document processing using the MapReduce paradigm -- 2

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投稿日: 2年以上前

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Implement a parallel program in Java to process a set of text documents received as input, evaluating the length of the processed words, as well as arranging the documents according to the length words and the frequency with which they occur. Each word will be associated with a value, depending on the number of letters. The value of a word is determined by a formula based on Fibonacci's row, so how to explain it later. The rank of a document is calculated by summing the values of all the words in this one. In addition, the maximum length word (or words, if any) shall be laid down for each document several with the same maximum length). Following the parting process, the number of letters of each existing word in a document will be determined, obtaining a list of pairs {length, number of appearances}, where the number of appearances represents the number of appearances of all words in the document that are equal to length. The program must be allows to calculate a metric for all processed documents and display the documents in order this meter. To parallelize document processing, the Map-reduce model will be used. Each document will be Fragment into fixed-sized parts to be processed in parallel (Map operation) for each part giving a partial dictionary (containing the length of words and the number of appearances of them) and an account list, including the maximum size words in the processed fragment. The next step is The combination of dictionaries (the operation of reduction) resulting in a typical dictionary the whole document will be the same in the case of the lists of maximum words. For each document, the rank (based on the number of appearances of words of a certain length) and the number of maximum words.
プロジェクト ID: 32228750

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アクティブ 2年前

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Hi, We are a team of programmers having experience in wide varierty of skills ranging from HTML, CSS, Javascript, React js, React Native, MEAN Stack, Java, J2EE, JSP, Spring, Servelets,Kotlin, Python, Tkiniter, PyQT, OpenCV, Flask, Django. We have worked many small and big projects. Some of our team members have worked with Big companies in IT and software development industry. We have been through your project requirements and we can assure you the project completion within the given time interval. I am attaching a link of our portfolio for your reference. [login to view URL] Looking forward to work with you. P.S. - Budget is not an issue over here We can discuss it on chat. We believe in customer satisfaction, whether it is you or your customers.
€35 EUR 4日以内
5.0 (68 レビュー)
5.7
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この仕事に2人のフリーランサーが、平均€27 EURで入札しています
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Hello! I am a seasoned software developer with in-depth knowledge of Java and MapReduce program. Your task has been already checked carefully by me and it looks inviting for me. I have already reviews for Java map-reduce programming, this was the work for project to calculate word frequency with Map-Reduce algorithm in Hadoop framework. I'm ready to do your task right now. What about talking with me? Thank you. Best Regards!
€19 EUR 7日以内
5.0 (7 レビュー)
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ROMANIAのフラグ
Bucharest, Romania
5.0
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