PDMS: AN EFFECTIVE PREFERENCE COUPLED DATA MANAGEMENT AND RETRIEVAL SYSTEM
The exponential growth of the Web has turned it into a huge repository of information. Learning and extracting relevant information satisfying the consumers (User) needs is the ongoing research areas in Information retrieval. It is identified from the information retrieval study that stipulated focu...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Taylor's University
2017-04-01
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| Series: | Journal of Engineering Science and Technology |
| Subjects: | |
| Online Access: | http://jestec.taylors.edu.my/Vol%2012%20issue%204%20April%202017/12_4_11.pdf |
| _version_ | 1818492670403674112 |
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| author | SHAILESH P. KHAPRE M. S. SALEEM BASHA SUJATHA POTHULA P. DHAVACHELVAN |
| author_facet | SHAILESH P. KHAPRE M. S. SALEEM BASHA SUJATHA POTHULA P. DHAVACHELVAN |
| author_sort | SHAILESH P. KHAPRE |
| collection | DOAJ |
| description | The exponential growth of the Web has turned it into a huge repository of information. Learning and extracting relevant information satisfying the consumers (User) needs is the ongoing research areas in Information retrieval. It is identified from the information retrieval study that stipulated focuses have been initiated for storing users data. Peoples mainly fail to look at ground level details, i.e., Retrieval of relevant data mainly depends on how efficiency a Data Management Scheme is applied. Data management plays an important role in effective and responsive handling of data. This paper shows the method for incorporating preferences in traditional Data Management schemes and how
queries can be remodelled for confident data extraction; in this paper a prototype “Preference Data Management System” has been developed and implemented with proposed query optimization Algorithm Group Bottom Up. The experimental results show that the newly execution plan generated using both the greedy algorithm and by dynamic programming performs quite well
compared to the optimal plan. |
| first_indexed | 2024-12-10T17:46:07Z |
| format | Article |
| id | doaj.art-c9defa065f1b40e290f6bc150af57616 |
| institution | Directory Open Access Journal |
| issn | 1823-4690 |
| language | English |
| last_indexed | 2024-12-10T17:46:07Z |
| publishDate | 2017-04-01 |
| publisher | Taylor's University |
| record_format | Article |
| series | Journal of Engineering Science and Technology |
| spelling | doaj.art-c9defa065f1b40e290f6bc150af576162022-12-22T01:39:13ZengTaylor's UniversityJournal of Engineering Science and Technology1823-46902017-04-0112410011021PDMS: AN EFFECTIVE PREFERENCE COUPLED DATA MANAGEMENT AND RETRIEVAL SYSTEMSHAILESH P. KHAPRE0M. S. SALEEM BASHA1SUJATHA POTHULA2P. DHAVACHELVAN3Department Of Computer Science, Pondicherry University Pondicherry, IndiaDepartment of Computer Science and IT, Mazoon University College, Muscat, OmanDepartment of Computer Science and IT, Mazoon University College, Muscat, OmanDepartment of Computer Science and IT, Mazoon University College, Muscat, OmanThe exponential growth of the Web has turned it into a huge repository of information. Learning and extracting relevant information satisfying the consumers (User) needs is the ongoing research areas in Information retrieval. It is identified from the information retrieval study that stipulated focuses have been initiated for storing users data. Peoples mainly fail to look at ground level details, i.e., Retrieval of relevant data mainly depends on how efficiency a Data Management Scheme is applied. Data management plays an important role in effective and responsive handling of data. This paper shows the method for incorporating preferences in traditional Data Management schemes and how queries can be remodelled for confident data extraction; in this paper a prototype “Preference Data Management System” has been developed and implemented with proposed query optimization Algorithm Group Bottom Up. The experimental results show that the newly execution plan generated using both the greedy algorithm and by dynamic programming performs quite well compared to the optimal plan.http://jestec.taylors.edu.my/Vol%2012%20issue%204%20April%202017/12_4_11.pdfPersonalizationPreference miningQuery optimization. Information retrievalQuery optimizationInformation retrieval. |
| spellingShingle | SHAILESH P. KHAPRE M. S. SALEEM BASHA SUJATHA POTHULA P. DHAVACHELVAN PDMS: AN EFFECTIVE PREFERENCE COUPLED DATA MANAGEMENT AND RETRIEVAL SYSTEM Journal of Engineering Science and Technology Personalization Preference mining Query optimization. Information retrieval Query optimization Information retrieval. |
| title | PDMS: AN EFFECTIVE PREFERENCE COUPLED DATA MANAGEMENT AND RETRIEVAL SYSTEM |
| title_full | PDMS: AN EFFECTIVE PREFERENCE COUPLED DATA MANAGEMENT AND RETRIEVAL SYSTEM |
| title_fullStr | PDMS: AN EFFECTIVE PREFERENCE COUPLED DATA MANAGEMENT AND RETRIEVAL SYSTEM |
| title_full_unstemmed | PDMS: AN EFFECTIVE PREFERENCE COUPLED DATA MANAGEMENT AND RETRIEVAL SYSTEM |
| title_short | PDMS: AN EFFECTIVE PREFERENCE COUPLED DATA MANAGEMENT AND RETRIEVAL SYSTEM |
| title_sort | pdms an effective preference coupled data management and retrieval system |
| topic | Personalization Preference mining Query optimization. Information retrieval Query optimization Information retrieval. |
| url | http://jestec.taylors.edu.my/Vol%2012%20issue%204%20April%202017/12_4_11.pdf |
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