Chhaya Patel

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AIMS AND OBJECTIVES Dental caries still remains the single most common disease of childhood. The present study was conducted to test the hypothesis that a higher prevalence of dental caries would be observed among nontaster children compared to medium tasters or supertasters of 6n propylthiouracil impregnated filter papers. MATERIALS AND METHODS The(More)
Frequent itemset mining algorithms mine subsets of items that appear frequently in a collection of sets. FIM is a key investigation in numerous data mining applications, and the FIM tools are among the most computationally demanding in data mining. In this research paper we present a new approach to represent candidate in parallel Frequent Itemset Mining(More)
Now a days images are prodigiously and sizably voluminous in size. So, this size is not facilely fits in applications. For that image compression is require. Image Compression algorithms are more resource conserving. It takes more time to consummate the task of compression. Utilizing Parallel implementation of the compression algorithm this quandary can be(More)
Frequent itemset mining (FIM) is a core area for many data mining applications as association rules computation, clustering and correlations, which has been comprehensively studied over the last decades. Furthermore, databases are becoming gradually larger, thus requiring a higher computing power to mine them in reasonable time. At the same time, the(More)
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