http://highscalability.com/blog/2012/4/5/big-data-counting-how-to-count-a-billion-distinct-objects-us.html
Probabilistic Counting - Data Insights GmbH
WebbWe are now counting triples (x, y, z), where x is one of the two appetizers, y is one of the 20 main dishes, and z is one of the five desserts. Hence the total number of meals is 200 = 2 app_e_t_iz_ers · 20 main__c_o_urses · 5 de_s_s_er_ts . The basic counting principle is used in the solution of the pedantic version of the St. Ives problem. Webb31 dec. 2012 · Linear Counting（以下简称LC）在1990年的一篇论文“A linear-time probabilistic counting algorithm for database applications”中被提出。 作为一个早期的基数估计算法，LC在空间复杂度方面并不算优秀，实际上LC的空间复杂度与上文中简单bitmap方法是一样的（但是有个常数项级别的降低），都是\(O(N_{max})\)，因此目前 ... fed r crim proc 41
Spectra - Basics of Probability, Probabilistic Counting (Morris
Webb1 okt. 1985 · This paper introduces a class of probabilistic counting algorithms with which one can estimate the number of distinct elements in a large collection of data (typically … Webb5 apr. 2012 · The Linear Probabilistic Counter is space efficient and allows the implementer to specify the desired level of accuracy. This algorithm is useful when space efficiency is important but you need to be able to control the error in your results. This algorithm works in a two-step process. WebbWith R. Morris’s probabilistic counting, we can count up to a much larger value at the expense of some loss of precision. We let a counter value i represent a count of ni for i = 0, 1, ..., 2 b − 1, where the ni form an increasing sequence of nonnegative values. We assume that the initial value of the counter is 0, representing a count of ... dee why real estate for sale