DocumentCode :
2349252
Title :
A Dynamic Task-Model Induction Model Based Induction Mining on Large and High Dimension Data
Author :
Sunitha, G. ; Reddy, A. Rama Mohan ; Sriharsha, A.V.
Author_Institution :
Narayana Eng. Coll., Nellore, India
fYear :
2009
fDate :
27-28 Oct. 2009
Firstpage :
741
Lastpage :
743
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.
Keywords :
data mining; information systems; knowledge representation; task analysis; high dimension data; information processing systems; knowledge discovery; knowledge extraction; knowledge representation; large dimension data; model based induction mining; task-model induction; Application software; Communications technology; Data engineering; Data mining; Data models; Educational institutions; Humans; Information processing; Intelligent systems; Knowledge engineering; agility; design; induction methods; knowledge discovery; model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advances in Recent Technologies in Communication and Computing, 2009. ARTCom '09. International Conference on
Conference_Location :
Kottayam, Kerala
Print_ISBN :
978-1-4244-5104-3
Electronic_ISBN :
978-0-7695-3845-7
Type :
conf
DOI :
10.1109/ARTCom.2009.226
Filename :
5328828
Link To Document :
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