Abstract: In today’s word of internet web search engines are developing the techniques to make the surfing faster. Stemming is a technique used by web search engines for prefix and suffix removal from the derived word. Stemming provides the way to store similar documents together. This research work aims at the development of Hindi stemmer based on Devanagari script for stripping both prefixes as well as suffixes from derived word to provide better stemming than previous stemmers. Proposed stemmer uses the hybrid approach which is the combination of lookup algorithm, suffix stripping algorithm and prefix removal algorithm.

• Publication Date: 21-Apr-2013
• DOI: 10.15224/978-981-07-6184-4-05
• Views: 0
• Downloads: 0

Abstract: One of the important techniques of data mining is Classification. Mobile selling and buying is one of the major businesses in the world. Here with the help of neural networks implementing data mining method will help to classify mobiles of different companies according to their attribute level which will be a great ease to an individual when it comes to buy a cellular phone which entirely depends upon their needs. Data mining technique will help in extracting data through neural network whereas neural network technique will make our classification and research efficient enough to develop a selection model.

• Publication Date: 21-Apr-2013
• DOI: 10.15224/978-981-07-6184-4-06
• Views: 0
• Downloads: 0