What are association rules
What are association rules and explain their utilization in exploratory data mining.
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Association rules states the likelihood of co-occurrence of events or features in records in a database (example: when a patient has characteristics A and B, he or she has an 80 percentage chance of containing characteristic C). Data-mining software can automatically recognize associations in big data sets. Though many associations are trivial, some point out causative or "common cause" relationships. Changing associations over time might also give helpful information.
According to morphology how are bacteria categorized?
Consider a cell with a diploid chromosome number of 4 (2n=4), one pair of the chromosomes is metacentric, the other is acrocentric. The metacentric is labeled a1a1 while the acrocentric is labeled B1B1. Answer the following questions. a. Draw the cell at metaphase
Write down the main means by which autotrophic beings acquire energy.
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The 2010 annual report of Willamette Valley Vineyards, Inc., comprised the following information associating to their allowance for doubtful accounts: Balance in allowance at the starting of the year $54,330, accounts written off throughout the year $51,467, balance i
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Why the amphibian circulation is categorized as double and incomplete?
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