Survey of Collaborative Data Mining

Author:

Anton Carmen Ana1,Matei Oliviu1,Avram Anca Diana1

Affiliation:

1. Electric, Electronic and Computer Engineering Department , Technical University of Cluj-Napoca, North University Center Baia Mare , Baia Mare , Romania

Abstract

Abstract In the information industry there is a huge amount of data which can be used to obtain relevant information necessary for them to be processed, cleaned and analyzed. This survey paper presents different data extraction research that can be applied in various areas. The main point is to determine a new approach and to be the starting point for new experiments in agriculture predictions. The collaborative data mining approach assumes that correlated units or devices will have similar behavior that can be determined with an acceptable approximation.

Publisher

Walter de Gruyter GmbH

Reference17 articles.

1. [1] Appleman, Kenneth H., et al. “Collaborative internet data mining systems.” U.S. Patent No. 5,918,010. 9 Jun. 1999.

2. [2] Blerina Lika, Kostas Kolomvatsos, Stathes Hadjiefthymiades, “Facing the cold start problem in recommender systems”, Expert Systems with Applications, volume 41, march 2014.10.1016/j.eswa.2013.09.005

3. [3] Brahima Sanou, “ITC Facts and Figures 2013”, Telecommunication Development Bureau, International Telecommunications Union (ITU), Geneva, February 2013. Retrieved 23 May 2015.

4. [4] Chakrabarti, Soumen, et al. Data mining: know it all. Morgan Kaufmann, 2008.

5. [5] Fabrice Guillet, Howard J. Hamilton (Eds.), “Quality Measures in Data Mining”, Springer, 2007.10.1007/978-3-540-44918-8

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