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Title |
Air Pollution Analysis Using Ontologies and Regression Models |
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Author |
Parul Choudhary, Dr. Jyoti Gautam |
| Citation |
Vol. 26 No. 7 pp. 119-127 |
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Abstract |
Rapidly throughout the world economy, ""the expansive Web"" in the ""world"" explosive growth, rapidly growing market characterized by short product cycles exist and the demand for increased flexibility as well as the extensive use of a new data vision managed data society: society. A new socio-economic system that relies more and more on movement, allocation and results data whose daily existence, refinement, economy and adjust the exchange industry. Cooperative Engineering Co -operation and multi -disciplinary installed on people's cooperation is a good example. Semantic Web, is a new form of Web content that is meaningful to computers, and additional approved another example. Communication, vision sharing and exchanging data Society's new commercial bet. Urban air pollution modeling and data processing techniques need elevated Association. Artificial intelligence in countless ways and breakthrough technologies that can solve environmental problems from uneven offers. A method for data to formal ontology means a true meaning and lack of ambiguity to allow us to portray memo. In this work we survey regression model for ontologies and air pollution. |
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Keywords |
Ontologies, Air pollution Analysis, Regression Models, Linear Regression. |
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