A Dynamic Task-Model Induction Model Based Induction Mining on Large and High Dimension Data

Abstract

The process of modeling concerns itself with the extraction organization of knowledge unambiguously. The rapid advancements in information processing systems are steering engineering research towards the development of intelligent systems. Though the aim of modeling is to provide the human user of the environment to represent knowledge that is convenient to operate, Modeling has become indispensable using sophisticated and automated tool. The algorithmic model represents the functional form of the system. The evolutionary model brings the phenomenal behavior of nature into practice. The proposition and relocation of the model in the process of knowledge discovery is becoming imperative as the complex processes and varied data sets. The attempt has been made to design a dynamic task-model and its induction in the process of knowledge discovery.

DOI: 10.1109/ARTCom.2009.226

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Cite this paper

@article{Sunitha2009ADT, title={A Dynamic Task-Model Induction Model Based Induction Mining on Large and High Dimension Data}, author={Gurram Sunitha and A. Rama Mohan Reddy and A. V. Sriharsha}, journal={2009 International Conference on Advances in Recent Technologies in Communication and Computing}, year={2009}, pages={741-743} }