| Type of Material: | Thesis |
| Title: | A study on redescriptive mining techniques on various domains |
| Researcher: | Kamala Kumari, M |
| Guide: | Suresh Varma, P. |
| Department: | Department of Computer Science and Engineering |
| Publisher: | Adikavi Nannaya University |
| Place: | Rajahmundry |
| Year: | 2013 |
| Language: | English |
| Subject: | Computer Science | Computer Science and Applications | Engineering and Technology |
| Dissertation/Thesis Note: | PhD; Department of Computer Science and Engineering, Adikavi Nannaya University, Rajahmundry; 2013 |
| Fulltext: | Shodhganga |
| 003 | IN-AhILN | |
| 005 | 2026-08-25 12:12:19 | |
| 008 | __ | 260825t2013||||ii#||||g|m||||||||||eng|| |
| 035 | __ | |a(IN-AhILN)th_462256 |
| 040 | __ | |dIN-AhILN|aANUR_533105 |
| 041 | __ | |aeng |
| 100 | __ | |eResearcher|aKamala Kumari, M |
| 110 | __ | |aDepartment of Computer Science and Engineering|0U-0005|dRajahmundry|bAdikavi Nannaya University|ein |
| 245 | __ | |aA study on redescriptive mining techniques on various domains |
| 260 | __ | |aRajahmundry|c2013|bAdikavi Nannaya University |
| 300 | __ | |dDVD |
| 502 | __ | |d2013|bPhD|cDepartment of Computer Science and Engineering, Adikavi Nannaya University, Rajahmundry |
| 518 | __ | |d2014|oDate of Award |
| 518 | __ | |oDate of Registration|d2010 |
| 518 | __ | |oDate of Completion|d2013 |
| 520 | __ | |aOver-riding the statistical database systems, which supports only the socio-economic data, Data Warehouse systems on the other hand, serve users or knowledge workers in the role of data analysis and decision making have come in to existence. Such systems can organize and present data in various formats in order to accommodate the diverse needs of different users. Data mining, the field of extraction in business analytics and commercial data processing disciplines utilizes that kind of Data warehouse systems. Data mining involves an integration of techniques from multiple disciplines such as database technology, statistics, machine learning, high-performance computing, pattern recognition, neural networks, data visualization, information retrieval, image and signal processing, and spatial data analysis, D.Kumar[2007]. Now the increased computational capabilities have accelerated and accumulated large amounts of scientific data and have consequently invited Data mining in scientific domains. The major data mi |
| 650 | __ | |aComputer Science and Applications|2UGC |
| 650 | __ | |aEngineering and Technology|2AIU |
| 653 | __ | |aComputer Science |
| 700 | __ | |aSuresh Varma, P.|eGuide |
| 856 | __ | |uhttp://shodhganga.inflibnet.ac.in/handle/10603/314077|yShodhganga |
| 905 | __ | |afromsg |
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