NDLI: A Modern Cyclic Approach to Solve a Classification Problem in Cloud Environment

Content Provider	IEEE Xplore Digital Library
Author	Babu, D.B. Prasad, R.S.R. Chakravarthy, N.S.K.
Copyright Year	2013
Description	Author affiliation: Dept. of I.B Studies, Acharya Nagarjuna Univ., Guntur, India (Prasad, R.S.R.) \|\| Acharya Nagarjuna Univ., Guntur, India (Chakravarthy, N.S.K.) \|\| Dept. of C.S.E, Prakasam Eng. Coll., Kandukur, India (Babu, D.B.)
Abstract	As the trend changes, the data can be transit through small hand hold devices, though the small hand hold devices are being used by the users and providing simple portability, but these devices are isolate unless they connected via network. The Clouds provide more services than the hand hold devices. Through this paper, we propose A Modern Cyclic Approach to solve a Classification Problem in Cloud Environment (MCACPCE), in the area of Data Mining. Because the data warehouses are utilizing the virtualized IaaS cloud. That is, the data warehouses are accommodating in the clouds and utilizing services of cloud. We are more concentrated on classification problem in the area of data mining, for the virtual data warehouses. In the cloud hosted data warehouses the current test data set will become as training data set after some period of time. Hence we introduced the post-mortem technique on the classification model to know the facts, how good the model is induced to classify the data set from the training data set. To induce a good and an efficient classification model, the model must undergo the post-mortem operation to know the reality of the classification. The test data set must undergo the pre-processing operation to make the data set pure and clean. This process must done cyclically.
Starting Page	207
Ending Page	212
File Size	468032
Page Count	6
File Format	PDF
ISBN	9781479927586
DOI	10.1109/ACSAT.2013.48
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-12-23
Publisher Place	Malaysia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Cloud computing Software as a service Pre-processing Data warehouses Classification algorithms Data mining Classification Model Cloud Storage Training data Computer architecture Cloud Classification Post-mortem Data models
Content Type	Text
Resource Type	Article

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