Luhn

基本解釋

According to experiment, after improvement of key words evaluation, the summary generation using LUHN and LSA algorithms can reach 70% of accuracy and recall rate, 72.5% using K-means algorithm, and 90% using Bayers algorithm.
K-means算法的精確率可以達到72.;5%25;Bayers算法的精確率和召廻率都可以達到90%25以上。
Thus we have business intelligence, a term and a definition that date to a seminal October 1958 IBM Journal article by Hans Peter Luhn titled A Business Intelligence System.[1] Luhn wrote,
講到後來,終於可以找到數(shù)據(jù)了,但幾個月才能分析好,這樣的數(shù)據(jù)乾什麼喫的呢？衹有用來做長期決策了．短期決策還是得靠直覺