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Read "Data Mining Technology (third edition)"-Thoughts on marketing, sales and customer relationship management This book is not a purely data mining theory book, you can probably guess from the subtitle of this book. For a layman like me in the field of data mining, there is not much difficulty in reading this book. This book is not a pure technology book, but
Blockchain Enthusiast (qq:53016353) One, pps and pplns two modes of comparison Mine pool mode handling fee remarksForeignBTC Guild PPS and Pplns pps:7.5% pplns:3% the world's largest mining pool, but the domestic opening of the site is relatively slow.Slush Pplns 2% The second largest mine pool, daily income not necessarily, see luck.Deepbit PPS 3%50BTC PPS 3% The third largest mine pool.DomesticF2pool PPS 4% The best mine pool in the country, fast.17
Purpose of collecting web logsWeb log mining refers to the use of data mining technology, the site user access to the Web server process generated by the log data analysis and processing, so as to discover the Web users access patterns and interests, such information on the site construction potentially useful and understandable unknown information and knowledge, for the analysis of the site's access to the
I plan to organize the basic concepts and algorithms of data mining, including association rules Mining, classification, clustering of common algorithms, please look forward to. Today we are talking about the most basic knowledge of association rule mining. Association rules mining has been widely used in electric bus
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In various data mining algorithms, association rule mining is an important one, especially influenced by basket analysis. association rules are applied to many real businesses, this article makes a small Summary of association rule mining. First, like clustering algorithms, association rule mining is an unsupervised le
March 10, there are netizens in the group to share the suspected Xiaomi blockchain products "encrypted rabbit" link, Xiaomi or will launch their own blockchain game project.First, about the millet blockchain pet "Crypto Rabbit"From the exposure of the 2 group chat, Xiaomi should formally enter the Blockchain game field.From millet "encrypted rabbit" to see the blockchain game, Mining has become a marketing toolWelcome to Encrypt Rabbit Blockchain Pet
Before also wrote a lot of Zec mining tutorials, however, many platforms have closed down, or abroad, resulting in a lot of novice friends even wallet can not get So update next 2018 years the latest Zec mining tutorials (Zcash mining tutorials) under Windows (non-Linux systems) first step, get the wallet address 2 Wallets (local wallet, mobile wallet) are r
First contact data mining related knowledge, worship Daniel's article, hope to be able to add their own understanding What is clustering, classification, regression. Article 1: Data mining commonly used methods (classification, regression, clustering, association rules, etc.), slightly to the conceptual interpretation of the original address Article 2: Learning from decision trees about Bayesian classifi
disadvantages of acquisition: 1. Do not respect other people's labor, imagine others hard for so long time to write the article, you a collection of software reprinted thousands of content, this is how bad, not to mention, few people will be in the collection of the original author's copyright. Seriously, you'll be in danger of being sued. 2. Do you have a station where anyone thinks of a dumpster? Although the content is important, consider the regularity of the content, the best selection of
Python data analysis, R language and Data Mining | learning materials sharing 05, python Data Mining Python Data Analysis Why python for data analysis? In terms of data analysis and interaction, exploratory computing, and data visualization, Python will inevitably be close to other open-source and commercial programming languages/tools, such as R, MATLAB, SAS, and Stata. In recent years, Python has continuo
I used to make some detours on Data Mining Research. In fact, from the origins of data mining, we can find that it is not a brand new science, but a combination of research achievements in statistical analysis, machine learning, artificial intelligence, and databases, in addition, unlike expert systems and knowledge management, Data Mining focuses more on the Ap
1 Algorithm Design Objectives Entering different commands is the basic way for users to use the Linux server, through a long time to collect different users in the use of the server process of the command sequence, mining the frequent occurrence of the command sequence, can help us understand the user to use the basic rules of the server. In addition, if there are more than one server, then we can analyze mining
Tags: using SP data, BS, users, technical objects, different methods First: Data type, Different attributes of an object are described by different data types, such as age --> int; birthday --> date. Different types of data mining must be treated differently. Second: Data quality, Data quality directly affects the quality of the mining results. Generally, noise, outlier, data omission, and duplication in da
I. Concepts Association Rule Mining: discovering interesting and frequent patterns, associations, and correlations between item sets of a large amount of data, such as the food database and relational database. Measurement of the degree of interest of association rules:Support,Confidence K-item set: a set of K items Frequency of the item set: number of transactions that contain the item set Frequent Item Set: if the frequency of the item set is greate
Business Intelligence product Data mining focuses on solving four types of problems: classification, clustering, correlation, prediction (which will be explained in detail after the four types of questions), while conventional data analysis focuses on solving other data analysis problems, such as descriptive statistics, cross-reporting, hypothesis testing, etc. Data mining is a very clear definition of the
The Application of association rule Mining algorithm in life is everywhere, it can be seen in almost every e-commerce website.To give a simple examplesuch as Dangdang, when you browse a book, you can see some package recommendations on the page, book + related books 1+ related books 2+...+ Other items = How many ￥And these packages are likely to suit your appetite, and you might have bought a whole package for this recommendation.This is different fro
(x)} = {p (x \bigcap y) \over p (x) p (y)} Close down properties (downward Closure property) If an item set satisfies a minimum support requirement, then any non-empty set of the set of items must satisfy this minimum support degree. Introduction to Apriori algorithm Apriori algorithm is a frequent itemsets algorithm for mining Association rules, whose core idea is to close and detect the frequent itemsets through the generation of candidate sets. Ap
Suppose you are the manager of a supermarket, you will want to understand the customer's shopping habits. You'll want to know what customers might buy at one time in the shopping, so you can arrange the shelves to make a bigger profit. This is the Association Rules (Association Rule). Its manifestations are as follows:bread⇒milk[support=10%;confidence=60%] Bread\rightarrow milk [support=10\%; confidence=60\%] The Support degree (support) and Confidence (confidence) of a rule are two metrics o
October 22 transferred to the Hcash (HSR) POS Mining Pool Mining proceeds to the account, there is a picture of the truth. October 22, I wrote a "teach you Hcash (braised pork) HSR How to Mine pool pos Mining Tutorial" At that time is also holding a small white mouse attitude, to try to see if there is a successful POS, the results turned 10.967 coins, as s
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