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Volume & Issue no: Volume 5, Issue 6, November - December 2016

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Title:
Fast Computation of Probabilistic Frequent Patterns in Uncertain Databases
Author Name:
Dr. Telkapalli Murali Krishna , Amsalu Tomas
Abstract:
Abstract In practice the data in the database is always stochastic by nature. The probabilistic assumption of data in deterministic databases can be also formulated as uncertainty of data with a value 1.0. The uncertain nature of the data may come from dynamic error-rapid change in the environment or scene of the data source, drifting in reading value like temperature, and noise of the equipment, distance etc. This nature can be seen in both object and attribute level uncertainties. In general, preprocessing in data warehouse− typically ETL, data integration, data granularity, ambiguous entities or missing data values can be main causes of the uncertain database. Mining such databases needs more attention in computing support count of itemset that are uncertain with their corresponding existential probabilities. This paper focuses on faster and efficient method to compute probabilistic support count of an itemset using divide and conquer approach as transforms on a sample dataset. The sampling technique has been seen as a crucial technique to minimize the complexity as the size of dataset and support computation are proportional. The probabilistic support can be found from inverse transform of the interpolated values of probabilistic support function. The performance of this approach is compared with the existing probabilistic pattern mining algorithms. Keywords: uncertainty, computing support,probabilistic pattern mining, transforms,
Cite this article:
Dr. Telkapalli Murali Krishna , Amsalu Tomas , " Fast Computation of Probabilistic Frequent Patterns in Uncertain Databases" , International Journal of Emerging Trends & Technology in Computer Science (IJETTCS) , Volume 5, Issue 6, November - December 2016 , pp. 061-066 , ISSN 2278-6856.
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International Journal of Emerging Trends & Technology in Computer Science (IJETTCS)
ISSN 2278-6856
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