A convergence data model for medical information related to acute myocardial infarction

I.e., if competitive ratio is 0.4, we are assured that the greedy algorithm gives an answer which is >= 40% good compared to optimal alg, for ANY input... Analyzing

 Given a minimum support s, then sets of items that appear in at least s baskets are called frequent itemsets.

 Learn the definition and properties of SVD, one of the most important tools in data mining!.  Learn how to interpret the results of SVD, and how to use it

 Drineas et al., Fast Monte Carlo Algorithms for Matrices III: Com puting a Compressed Approximate Matrix Decomposition, SIAM Journal on Computing,

 Communication cost = input file size + 2 × (sum of the sizes of all files passed from Map processes to Reduce processes) + the sum of the output sizes of the Reduce

 Because output is spread across R files (each reduce task creates one file in DFS).. Task

 Step 2: label each node by the # of shortest paths from the root E..

 In fact, the minimum solution is given by y = 1 vector (the smallest eigenvector w/ eigenvalue 0); however, this does not say anything about the partition.  Thus, we find