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DB2 physical database design for the OLTP environment: scale adjustment and capacity management

manage your system requirements to minimize major accidents and business interruptions. For a 24x7 mission-critical business, any downtime will directly affect revenue, sales, customer satisfaction, and business reputation. Estimate System Resources and design a balanced system To estimate the resource consumption of a workload and estimate the capacity that can

"Reprint" K-means Clustering algorithm

that allow J to get the minimum value, but this phenomenon is actually very rare).Because the distortion function j is a non-convex function, it means that we can not guarantee that the minimum value obtained is the global minimum, that is to say, k-means the initial position of the heart to choose a cold, but in general, K-means to achieve the local optimal has satisfied the demand. But if you are afraid of getting into the local optimal, then you can choose different initial values to run mul

Understanding the GBDT Algorithm (III.)--gradient-based version

algorithm mainly has 8 steps.(0) Initialize the estimates for all samples on K categories. F_k (x) is a matrix that we can initialize to full 0, or randomly set. As follows:In the above matrix, we assume that there are n=8 samples, each of which may fall into one of the k=5 categories, where the estimate matrix F is initialized to 0.In addition, these 8 training samples are tagged with categories such as:The description of the I=1 sample belongs to c

K-means Clustering algorithm

that allow J to get the minimum value, but this phenomenon is actually very rare).Because the distortion function j is a non-convex function, it means that we can not guarantee that the minimum value obtained is the global minimum, that is to say, k-means the initial position of the heart to choose a cold, but in general, K-means to achieve the local optimal has satisfied the demand. But if you are afraid of getting into the local optimal, then you can choose different initial values to run mul

Redis Cardinality Statistics: hyperloglog small Memory large use

We have always known that Redis a few of the most commonly used data structures, strings, hashes, lists, sets, ordered sets. In fact, later Redis made a lot of supplements, one of which is Hyperloglog, the other is geo (geographical location), is 3.2 version plus. Here we have a brief introduction to the Hyperloglog structure. First of all use: This structure can be very memory to the statistics of the various counts, such as the number of registered IP, the number of daily access to IP, page re

Introduction to Oracle's analyze usage

by the CBO. The CBO is the recommended optimization method for Oracle, and the timeliness of the statistics must be ensured in order to use a good CBO to maximize the effectiveness of the SQL statements. The statistical information can be generated by the method of complete calculation and sampling estimation. The SQL examples are as follows: Complete calculation method: Analyze table ABC compute statistics;Sampling estimation method (sample 20%): Analyze table ABC

Oracle Optimizer: Migrating to using the cost-based optimizer-----series 1.2

predicate, and all of these goals for the new access plan will be better than the original. Note that the conversion does not affect the returned data, but only the execution path, please refer to the information associated with the second part of the series parameter chapter. 3.2.1 Statistical data The statistics provide accurate input in order for the CBO to work properly; the resulting data is stored in the object and includes information such as the number of rows in the table, a single

UVa 412 Pi: Simple GCD

412-pi Time limit:3.000 seconds Http://uva.onlinejudge.org/index.php?option=com_onlinejudgeItemid=8category=24page=show_problem problem=353 Professor Robert J. Matthews of the Applied Mathematics and Computer science Department at the University of Aston in B Irmingham, England has recently described howthe positions of stars across the night Skymay is used to deduce a surprising Ly accurate value of . This result followed to the application of certain theorems in number theory. Here, we do

Read SQL Server query plan

beginning of the duplicates when each of the duplicates in one of the inputs is processed. You can create a unique index to tell SQL Server that there are no duplicate values.If there is a resident predicate, all rows that satisfy the merge predicate will take the value of the resident predicate and return only those rows that satisfy the resident predicate.Merging joins itself is fast, but selecting a merge join can be time-consuming if a sort operation is required. However, if the amount of d

Read SQL Server query plan (forward)

of the inputs is processed. You can create a unique index to tell SQL Server that there are no duplicate values.If there is a resident predicate, all rows that satisfy the merge predicate will take the value of the resident predicate and return only those rows that satisfy the resident predicate.Merging joins itself is fast, but selecting a merge join can be time-consuming if a sort operation is required. However, if the amount of data is large and you can get pre-ordered data from an existing

Kmeans Clustering algorithm

phenomenon is actually very rare).Because the distortion function j is a non-convex function, it means that we can not guarantee that the minimum value obtained is the global minimum, that is to say, k-means the initial position of the heart to choose a cold, but in general, K-means to achieve the local optimal has satisfied the demand. But if you are afraid of getting into the local optimal, then you can choose different initial values to run multiple times K-means, and then take the smallest

The law of construction 800 characters Feedback

me imitate to do a, functional interface style are the same, gave one months of time, the result is my last week in the computer room to boil a lot of days overnight, Came out before the point of time. Now look back, this is actually only the goal and determination, without any estimate, if the target is a little bigger, if it is not young when the body good to stay up late, is not likely to complete.But even if there is an

Coursera Machine Learning Cornerstone 4th talk about the feasibility of learning

This section describes the core of machine learning, the fundamental problem-the feasibility of learning. As we all know about machine learning, the ability to measure whether a machine learning algorithm is learning is not how the model behaves on an existing set of training data, but rather the performance of the model in the data outside the training data (which we call test data), We call this performance generalization capability (generalization ability), our goal in machine learning is to

Ask a question about the algorithm

This post was last edited by Specs_ on 2013-07-01 10:02:02 Now there is a discount promotion class algorithm problem, do not know how to achieve, here to ask you. The existing batch of goods to be discounted sales, to use the lottery to achieve the play. For example, 90 percent of the winning probability is 40%, The probability of winning 80 percent is 10%, 70 percent of the winning number is 120, 60 percent of the winning number is 10, Now to implement such a function, how should the

Random Sampling consistent ransac

square method will be invalid. We need a new algorithm. The left figure shows the observed data. Intuitively, we can see that the scattered points outside are outliers, And the inliers is in a straight line in the middle. How to design an algorithm to calculate this line so that it has a high degree of fitting to inliers (as shown in the right figure )? Author: Wang XianrongThis article is translated from Wikipedia. The original English address is http://en.wikipedia.org/wiki/ransac. if your

The 19th day of Reading Notes in programmer's Art

Chapter 1 magic of software time range estimation Although many people disagree with the software, there is no doubt that it is very important. The quality of estimation depends on how well you understand the task you want to estimate, that is, how well you really understand, rather than how well you think you understand. The software time range estimation should be based on speculation, and each estimation should be accompanied by your strong con

People who don't know the technology, don't say it's easy to do with people who know the technology.

I receive this email from time to time. Most of the people who write these messages are people who are not technically close, or are studying their first product. At first, I was always very angry when I heard people say that. Who are they arguing with about the time it takes to develop software? But then I realized that even if I had my own projections of how much development time to spend on my project, I was helpless. If I can't do it myself, why should I be angry with those people? What rea

How the Project Manager participates in Task Management

Each project manager may manage tasks. The following two methods are provided based on their own experience: Explain the process: Premise: the customer sends a request and waits for the time to complete the request. Solution 1:(1) After receiving the requirement, the Project Manager splits the requirement into tasks by role. (2) estimate the completion time of each task. (3) assign tasks to different persons. (4) developers determine whether

Analysis of user requirements in XP: Overview of planning game and user story

according to the actual situation during the development process.Stroke. Like all chess and card games, XP's planning game has its cards (ChEss), goals, players, and game rules. Chess: the chess in planning game is the user story. Each user story is a small user requirement.It is often a few words or one or two sentences. Every user story is written on a card, which lists its commercial value and developed. Because the commercial value and development cost of a user story may be closely related

How to accurately predict the time of keyword ranking

In doing SEO when in fact sometimes our biggest cost is often the time cost, a keyword always takes a certain amount of time to reach our estimated ranking, so it is very important that we predict the time of the keyword ranking, although we can not be accurate to a certain day, but we should at least estimate to a certain week, When a company's network manager or boss asks us how long it takes for a keyword to be done, if we

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