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OverviewGreat amount of data is being accumulated very rapidly in the Internet era. Consequently, it takes a lot of time and effort to process these data for knowledge discovery and decision making. Compressed transaction data set methods is much better as compare to the other methods a more efficient approach, called Mining Merged Transactions with the Quantification Table (MMTQT) is proposed, which can compress the original database into a smaller one and perform the data mining process without the above problems. Full Product DetailsAuthor: Rabiya Hanfi , Kalpana Rai , Ankita AwasthiPublisher: LAP Lambert Academic Publishing Imprint: LAP Lambert Academic Publishing Dimensions: Width: 15.20cm , Height: 0.30cm , Length: 22.90cm Weight: 0.091kg ISBN: 9786207463190ISBN 10: 6207463196 Pages: 52 Publication Date: 05 February 2024 Audience: General/trade , General Format: Paperback Publisher's Status: Active Availability: In Print  This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us. Table of ContentsReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |
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