82. 빅데이터의 교육적 활용 방안 연구

 So the rank vector r is an eigenvector of the web matrix M, with the corresponding eigenvalue 1.  Fact: The largest eigenvalue of a column stochastic

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

As commercial companies using Big Data, one of the most common legal issues will be customers’ privacy and protection of personal information. More specifically,

인공지능이 실생활에 사용되는 사례를 설명할 수 있다... BIG DATA

 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