Adaptive Learning for Data Mining Classification
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2017, Vol 5, Issue 1
Abstract
The classification of algorithm for dataset Recommendation should be appropriate as it is very important and beneficial task but it goes through some difficulties. As per No-Free-Lunch theorem, for different classification problem there is no best classifier to decide which learning algorithm suits best for which type data and domain is difficult. A type of recommending classification algorithm is affirmed, this paper is based on meta-features promising classifier one recommended by Meta learning. As per the characteristics of data the problem algorithm is selected by adaptive learning. In knowledge discovery process the selection of algorithm will be advantageous by adaptive learning. In these theory measures of recommendation parameter and knowledge base architecture of adaptive learning is discussed. Different classification algorithms are applied on the different dataset and problems. And also algorithms are recommended for the classifications.
Authors and Affiliations
Mahendra Divekar, Ajay Patil, Pooja Patil, Anita Saini, Prof. Avinash Devare
Keywords
Related Articles
- EP ID EP23031
- DOI -
- Views 241
- Downloads 4
slugSeccloud Protocol Implementation Using Aes Algorithm For Security And Privacy In Cloud Computing
Cloud computing is a model for enabling convenient, on - demand network access to a shared pool of configurable computing resources (e.g., networks, servers, storage, applications, and servic...
Energy Efficient Routing Protocol Considering Residual Energy in Wireless Adhoc Networks
Wireless networks adapt easily to changes and offers flexibility in the configuration of the network. In MANET, each node will change its location dynamically and configure itself according to the environment. An effect...
Evaluation on performance of CI engine with Waste Plastic oil-Diesel blends as Alternative fuel
As a developing and one of the most populous countries in the world, India faces major challenges in supplying energy resources and solid plastic waste management. The plastic –pyrolysis oil stands to be a solution for...
Experimental Study and Optimization of Reaction Kinetics in Gypsum Calcination
Gypsum (calcium sulphate dihydrate) is of great industrial importance with over 95,000 ktonnes being used in the world per annum. The greatest use of gypsum is in the production of plaster (calcium sulphate hemihydrate)...
A Handoff Using Virtual Channel Scheme for Cognitive Radio Networks
Cognitive radio emerges as an impactful technology that can enhance the radio spectrum utilization and network performance. Spectrum handoff is one of the important feature in cognitive radio network that not only contr...