IDEAS home Printed from https://ideas.repec.org/a/jbh/ijsrcs/v3y2018i3idhcseit183334.html

An Optimized Algorithm for Biological and Environmental Problems

Author

Listed:
  • Yasmeen
  • Neetu Sharma

Abstract

In the past(Earlier), most of the researchers used data mining techniques in many area. A lot of amounts of data have been collected from various scientific domains such as Geo sciences, Astronomy, Meteorology, Geology and Biological sciences. Data mining techniques and tools used by researchers and scientist in biological and environmental problems also. In biological science data mining used in sequences alignment is based on the fact that all living organisms are related by evolution.ntal science data mining concept used in predicting data such as earthquakes and landslide etc. This Research paper highlights on the wide survey of Protein sequences, (DNA, RNA) sequences, cancer prediction, Relational and semantic data mining for biomedical research area. Health care data, multiagent framework for bio data mining, predicting earthquakes, landslide and spatial data in distributed data mining algorithms and tools.

Suggested Citation

  • Yasmeen & Neetu Sharma, 2018. "An Optimized Algorithm for Biological and Environmental Problems," International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 3(3), pages 233-237, April.
  • Handle: RePEc:jbh:ijsrcs:v3:y2018:i3:id:hcseit183334
    Note: Article URL: https://ijsrcseit.com/CSEIT183334
    as

    Download full text from publisher

    File URL: https://ijsrcseit.com/CSEIT183334
    File Function: Article URL
    Download Restriction: no

    File URL: https://ijsrcseit.com/paper/CSEIT183334.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:jbh:ijsrcs:v3:y2018:i3:id:hcseit183334. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Pankaj Sharma (USA) (email available below). General contact details of provider: https://ijsrcseit.com/home .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.