Data Mining in Biodata Analysis

1
V.Venkata Sai Aditya
V.Venkata Sai Aditya
2
D. Aruna Kumari
D. Aruna Kumari
3
D.Poojitha Bhavana
D.Poojitha Bhavana
1 KLEF University

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GJCST Volume 14 Issue C9

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For finding interesting patterns in large databases has lot of development in recent years.. Data mining is used in many fields like medicine, securing the data etc. Whereas bio data means the data regarding the biology, medical science, DNA technology and Bioinformatics in-depth analysis. Bio Informatics is the science which can perform managing, finding data, integrating, interrupting information from biological data, genomic, and metadata. Even additional knowledge and complexness can lead to the integration among genes. This paper is all about joining these two fields, the data regarding biology us ing data mining and gives the details of future developments in biodata analysis.

5 Cites in Articles

References

  1. R Agrawal,R Srikant (2000). Privacy-preserving data mining.
  2. A Baxevanis,B Ouellette (2001). Bioinformatics: A Practical Guide to the Analysis of Genes and Proteins.
  3. T Hastie,R Tibshirani,J Friedman (2001). The Elements of Statistical Learning: Data Mining, Inference, and Prediction.
  4. H Wang,J Yang,W Wang,P Yu (2002). Clustering by pattern similarity in large data sets.
  5. Jiong Yang,Wei Wang,Philip Yu,Jiawei Han (2002). Mining long sequential patterns in a noisy environment.

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

V.Venkata Sai Aditya. 2015. \u201cData Mining in Biodata Analysis\u201d. Global Journal of Computer Science and Technology - C: Software & Data Engineering GJCST-C Volume 14 (GJCST Volume 14 Issue C9): .

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Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

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January 21, 2015

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English

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For finding interesting patterns in large databases has lot of development in recent years.. Data mining is used in many fields like medicine, securing the data etc. Whereas bio data means the data regarding the biology, medical science, DNA technology and Bioinformatics in-depth analysis. Bio Informatics is the science which can perform managing, finding data, integrating, interrupting information from biological data, genomic, and metadata. Even additional knowledge and complexness can lead to the integration among genes. This paper is all about joining these two fields, the data regarding biology us ing data mining and gives the details of future developments in biodata analysis.

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Data Mining in Biodata Analysis

D. Aruna Kumari
D. Aruna Kumari
D.Poojitha Bhavana
D.Poojitha Bhavana
V.Venkata Sai Aditya
V.Venkata Sai Aditya KLEF University

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