pearson cissp

Specially planned on 51cto Security ChannelThe path to growth of cisspIn the previous articles in the series, j0ker briefly introduced the basic information about the cissp Certification Examination, however, for those who want to learn more about the cissp certification system or want to get a cissp certification, the content is a little simpler. Therefore, from

Previous Article 《 How to obtain cissp certification (1)", J0ker introduced the conditions for becoming a cissp and the registration process for the cissp exam. Next, j0ker will first introduce the implementation of the cissp examination and the procedures after passing the examination, and then use the Article 10 to d

1. Pearson Pearson correlation coefficientPearson's correlation coefficient is also known as Pearson's correlation coefficient, which is used to reflect the statistical similarity between the two variables. Or to represent the similarity of two vectors. Pearson's correlation coefficient is calculated as follows:　　The numerator is the product of the covariance, the standard deviation of the denominator two

coefficient is to 0, the weaker the correlation degree.The relative strength of a variable is usually judged by the following range of values:Correlation coefficient 0.8-1.0 very strong correlation0.6-0.8 Strong correlation0.4-0.6 Intermediate Degree related0.2-0.4 Weak correlation0.0-0.2 very weakly correlated or unrelatedPearson (Pearson) correlation coefficient1. IntroductionPearson's correlation, also known as product correlation (or moment-relat

. In addition, organizations can reorganize their business processes and information processing needs through information classification processes. General information classification processDifferent organizations have different information classification projects because of their own situations. The cissp official guide provides a more effective and general process. j0ker will list it below, and briefly introduce common questions in the

In the previous article 《 Review information security governance (4)J0ker introduces the definitions and differences of various security documents in information security management (CBK. We all know that after the establishment of various security rules and regulations, every Member of the Organization must understand and consciously abide by the rules to play its due role. To achieve this goal, this document describes the Security Awareness Tool. Security awareness education can be carried ou

First, review afterJune 4, 2016 enrolled in the training of Zhe CISSP. June because there are other chores, basically did not read. At the end of June participated in the CISSP training, because did not prepare, only listened to the first two days, understand what the teacher said, how. Dong Junfei Teacher is good at speaking.July 2016 began to read, look at the AIO 6/English version, with one months of rap

Template Double Pearson (std::vectorif (inst1.size () = Inst2.size ()) {std::coutreturn 0;}size_t n=inst1.size ();Double pearson=n*inner_product (Inst1.begin (), Inst1.end (), Inst2.begin (), 0.0)-accumulate (Inst1.begin (), Inst1.end (), 0.0) *accumulate (Inst2.begin (), Inst2.end (), 0.0);Double temp1=n*inner_product (Inst1.begin (), Inst1.end (), Inst1.begin (), 0.0)-pow (Accumulate (Inst1.begin (), Inst

The correlation coefficient of measurement correlation is many, the calculation method and characteristics of various parameters are different.Related indicators for continuous variables:At this time, the correlation coefficient of product difference is generally used, also called Pearson Correlation coefficient, and the correlation coefficient is only applicable when two variables are linearly correlated. Its value is between -1~1, when the correlati

To sort out the recent Pearson similarity calculation in the collaborative filtering recommendation algorithm, incidentally learning the simple use of the next R language, and reviewing the knowledge of probability statistics. I. Theory of probability and review of statistical concepts 1) Expected value (expected Value) because each of these numbers is equal probability, it is considered an average of all the elements in an array or vector. You can

Sometimes we need to study the correlation of certain properties and specified attributes in the dataset, obviously we can use the general statistical method to solve the problem, the following is a brief introduction of two correlation analysis methods, not detailed methods of the process and principle, but simply to do an introduction, because the understanding may not be very deep, I hope you understand.1. Pearson correlation coefficientThe most co

difficult for the security administrator to understand the business objectives and strategies of the organization. Security supervisors often seek help from various materials or consulting companies during the preparation of security documents, however, the information collected from these channels can only be used as a reference for "How to do it", rather than "why ". Therefore, the development and implementation of security documents also require the security supervisor to integrate the respo

650) This. width = 650; "src =" http://s3.51cto.com/wyfs02/M02/48/87/wKioL1QJWB-g8E6AAAI8cYhw8d0852.jpg "Title =" qq20140905142747.jpg "alt =" wKioL1QJWB-g8E6AAAI8cYhw8d0852.jpg "/> After a period of hard work, the cissp course has been recorded and uploaded to the 51cto course video. This time, the recording of the cissp video has gone through great determination, because it is too difficult to record a pu

In the previous article "review access control" in the cissp development path series specially planned by 51cto Security channel, j0ker introduced the basic concepts of access control and the basic principles of three access control types (physical, logical, and management. We know that information security and every security-related technology aim to protect the confidentiality, integrity, and availability of information assets (CIA) from any or all

Study on the correlation coefficient of Pearson's accumulated momentPearson correlation coefficients (Pearson Correlation coefficient) are often used when doing similarity calculations, so how do you understand the coefficients? What is its mathematical nature and meaning?Pearson correlation coefficient understanding has two anglesFirst, take the high school textbook as an example, the two sets of data is p

Similarity between vectors There are many ways to measure the similarity between vectors. You can use the reciprocal of distance (various distances), vector angle, Pearson correlation coefficient, and so on. Pearson correlation coefficient calculation formula is as follows: The numerator is the covariance, And the numerator is the product of the standard deviation of two variables. Obviously, the standard

In the previous article "explaining the authentication process" in the cissp development path series specially planned by 51cto Security channel, j0ker describes the three verification elements, passwords, passphrases, and their safe use principles for user authentication. As a user verification solution with the lowest technical implementation difficulty and cost, the password-based user verification solution is widely used in our daily life and work

It depends on two aspects: the significant level and the correlation coefficient. (1) The significant level is the P value, which is the first, because if it is not significant, the correlation coefficient is no longer useful, may only be caused by accidental factors, then how much is significant, the general P value is less than 0.05 is significant, if less than 0.01 is more significant, such as p value = 0.001, is a very high level of significant , as long as significant, it can be concluded t

#! /Usr/bin/pythonfrom math import sqrtdef Euclidean (V1, V2): length = min (LEN (V1), Len (V2) If length = 0: return 0 D = 0 for I in range (length): D + = POW (V1 [I]-V2 [I]), 2) # Return SQRT (d) return 1/float (1 + d) def cosine (V1, V2): length = min (LEN (V1), Len (V2) If length = 0: return 0 dp = 0 # dot product M1 = 0 # modulus of V 1 m2 = 0 # modulus of V2 for I in range (length ): DP + = V1 [I] * V2 [I] M1 + = V1 [I] * V1 [I] M2 + = v2 [I] * V2 [I] If M1 = 0 or M2 = 0: return 0 distanc

In the previous article "distributed access control methods" on the path to the Development of cissp, j0ker introduced several distributed access control methods used to control user resource access. In practical applications, we often need to perform more detailed access control on data and information. For example, enterprises need to allow financial departments to access the detailed financial reports of enterprises in the first half of this year,