International Journal of Computer
Trends and Technology

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Volume 4 | Issue 4 | Year 2013 | Article Id. IJCTT-V4I4P164 | DOI : https://doi.org/10.14445/22312803/IJCTT-V4I4P164

Mining Frequent Itemsets Using Apriori Algorithm

Jogi.Suresh, T.Ramanjaneyulu

Citation :

Jogi.Suresh, T.Ramanjaneyulu, "Mining Frequent Itemsets Using Apriori Algorithm," International Journal of Computer Trends and Technology (IJCTT), vol. 4, no. 4, pp. 760-764, 2013. Crossref, https://doi.org/10.14445/22312803/ IJCTT-V4I4P164

Abstract

Mining required data from voluminous Data has been recognized as one of the most challenging problems in data mining approach. In many real world scenarios, the data is not extracted from single data source but from distributed and heterogeneous data sources. The discovered knowledge is expected comprehensive so that it can better fit in business environment Enterprise data mining applications involve dealing with complex data such as data from multiple heterogeneous data sources, extracting data in single step from such data sources such data sources is time and space consuming. So effective approaches are needed to decrease the time as well as space. Here we use Apriori Algorithm for discovering informative patterns in complex data sets.

Keywords

heterogeneous data, complex data, frequent patterns, informative patterns

References

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