Expertised String Mining in Outsized Databases and Hefty Files
| Autor: | P. Visu, Shobhanjaly P. Nair, S. Koteeswaran, K. Geetha Rani |
|---|---|
| Rok vydání: | 2014 |
| Předmět: |
String database
General Computer Science Database Data stream mining Computer science String (computer science) General Engineering Process (computing) InformationSystems_DATABASEMANAGEMENT computer.software_genre ComputingMethodologies_PATTERNRECOGNITION Web mining Data mining computer Space allocation Knowledge mining Drawback |
| Zdroj: | Research Journal of Applied Sciences, Engineering and Technology. 7:5063-5067 |
| ISSN: | 2040-7467 2040-7459 |
| Popis: | In the last few decades data mining is one of the important research areas in data maintenance of computing. In computing world, plentiful algorithms are proposed for mining. The few applications of data mining are web mining, video mining, knowledge mining and string mining. In these applications, string mining is focused and concentrated to overcome the space allocation process. To overcome the drawback suffered by the space allocation process Efficient String Mining (ESM) algorithm is proposed. The ESM algorithm performs operation faster, helps in reducing the space allocation, which in turn improves the performance of string mining and it is also possible to locate patterns that recurrent in the string database or file with a given support. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|