Synopsis
For most of the people, web interaction is a very common phase to acquire information. It is possible that in a combined environment, more than one person may try to obtain similar information in one domain. One person may like to solve a problem using an unfamiliar Apache Tomcat which he had studied by another person before. Connecting and then sharing with those persons will be more beneficial to get their learned knowledge. Fine grained knowledge sharing is proposed for this combined environment. The system is proposed to classify the surfed data into clusters and summarize the details in fine grained details. For any system the efficiency depends upon the surfing. The framework of proposed work includes: (1) Data which is surfed, clustered into tasks. (2)Then task is mined in fine grained output. To get proper result , the search method is applied to the output (mined results).The concept of Data Mining in fine grained knowledge is combined with the information gathering and classification to produce efficient data searching technique in agriculture system.
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Information Retrieval in Agriculture System
Published by
LAP LAMBERT Academic Publishing, 2022
ISBN 10: 620497937X
ISBN 13: 9786204979373
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Seller: Books Puddle, New York, NY, U.S.A.
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Information Retrieval in Agriculture System
Published by
LAP LAMBERT Academic Publishing Jun 2022, 2022
ISBN 10: 620497937X
ISBN 13: 9786204979373
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -For most of the people, web interaction is a very common phase to acquire information. It is possible that in a combined environment, more than one person may try to obtain similar information in one domain. One person may like to solve a problem using an unfamiliar Apache Tomcat which he had studied by another person before. Connecting and then sharing with those persons will be more beneficial to get their learned knowledge. Fine grained knowledge sharing is proposed for this combined environment. The system is proposed to classify the surfed data into clusters and summarize the details in fine grained details. For any system the efficiency depends upon the surfing. The framework of proposed work includes: (1) Data which is surfed, clustered into tasks. (2)Then task is mined in fine grained output. To get proper result , the search method is applied to the output (mined results).The concept of Data Mining in fine grained knowledge is combined with the information gathering and classification to produce efficient data searching technique in agriculture system. 116 pp. Englisch. Seller Inventory # 9786204979373
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Information Retrieval in Agriculture System
Published by
LAP LAMBERT Academic Publishing, 2022
ISBN 10: 620497937X
ISBN 13: 9786204979373
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Information Retrieval in Agriculture System
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LAP LAMBERT Academic Publishing, 2022
ISBN 10: 620497937X
ISBN 13: 9786204979373
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Information Retrieval in Agriculture System
Published by
LAP LAMBERT Academic Publishing, 2022
ISBN 10: 620497937X
ISBN 13: 9786204979373
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Bhojne ShilpaMs. Shilpa Bhojne is working as Assistant Professor in School of Computer Sciences & Engineering , Sandip University Nashik, Maharashtra , India . She has Obtain Her Master of Engineering in Computer Science & Engineerin. Seller Inventory # 649268781
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Information Retrieval in Agriculture System
Published by
LAP LAMBERT Academic Publishing Jun 2022, 2022
ISBN 10: 620497937X
ISBN 13: 9786204979373
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Taschenbuch. Condition: Neu. Neuware -For most of the people, web interaction is a very common phase to acquire information. It is possible that in a combined environment, more than one person may try to obtain similar information in one domain. One person may like to solve a problem using an unfamiliar Apache Tomcat which he had studied by another person before. Connecting and then sharing with those persons will be more beneficial to get their learned knowledge. Fine grained knowledge sharing is proposed for this combined environment. The system is proposed to classify the surfed data into clusters and summarize the details in fine grained details. For any system the efficiency depends upon the surfing. The framework of proposed work includes: (1) Data which is surfed, clustered into tasks. (2)Then task is mined in fine grained output. To get proper result , the search method is applied to the output (mined results).The concept of Data Mining in fine grained knowledge is combined with the information gathering and classification to produce efficient data searching technique in agriculture system.Books on Demand GmbH, Überseering 33, 22297 Hamburg 116 pp. Englisch. Seller Inventory # 9786204979373
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Information Retrieval in Agriculture System
Published by
LAP LAMBERT Academic Publishing, 2022
ISBN 10: 620497937X
ISBN 13: 9786204979373
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Taschenbuch. Condition: Neu. Information Retrieval in Agriculture System | Shilpa Bhojne (u. a.) | Taschenbuch | Englisch | 2022 | LAP LAMBERT Academic Publishing | EAN 9786204979373 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Seller Inventory # 122087385
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Information Retrieval in Agriculture System
Published by
LAP LAMBERT Academic Publishing, 2022
ISBN 10: 620497937X
ISBN 13: 9786204979373
New
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - For most of the people, web interaction is a very common phase to acquire information. It is possible that in a combined environment, more than one person may try to obtain similar information in one domain. One person may like to solve a problem using an unfamiliar Apache Tomcat which he had studied by another person before. Connecting and then sharing with those persons will be more beneficial to get their learned knowledge. Fine grained knowledge sharing is proposed for this combined environment. The system is proposed to classify the surfed data into clusters and summarize the details in fine grained details. For any system the efficiency depends upon the surfing. The framework of proposed work includes: (1) Data which is surfed, clustered into tasks. (2)Then task is mined in fine grained output. To get proper result , the search method is applied to the output (mined results).The concept of Data Mining in fine grained knowledge is combined with the information gathering and classification to produce efficient data searching technique in agriculture system. Seller Inventory # 9786204979373