best bitcoin mining algorithm

Reprint: http://www.cnblogs.com/zhijianliutang/p/4021799.htmlObjectiveThis article is also the continuation of the Microsoft Series Mining algorithm Summary, the first few mainly based on state discrete values or continuous values for speculation and prediction, the algorithm used mainly three kinds: Microsoft Decision tree Analysis

Reprint: http://www.cnblogs.com/zhijianliutang/p/4009829.htmlThis article is mainly to continue the previous Microsoft Decision tree Analysis algorithm, the use of another analysis algorithm for the target customer group mining, the same use of Microsoft case data for a brief summary.Application Scenario IntroductionIn the previous article, we used the Microsoft

Reader's expectation: This paper is suitable for readers who have read the source code of the Bitcoin mining algorithm or understand the main process of mining algorithm. Introduction: A piece of pseudo code: nonce=0; while (Nonce The process of diggin

Reprint: http://www.cnblogs.com/zhijianliutang/p/4067795.htmlObjectiveFor some time without our Microsoft Data Mining algorithm series, recently a little busy, in view of the last article of the Neural Network analysis algorithm theory, this article will be a real, of course, before we summed up the other Microsoft a series of algorithms, in order to facilitate e

Tags: style blog http io color ar os for SPOriginal: (original) Big Data era: a summary of knowledge points based on Microsoft Case Database Data Mining (Microsoft Time Series algorithm)ObjectiveThis article is also the continuation of the Microsoft Series Mining algorithm Summary, the first few mainly based on state d

Reprint: http://www.cnblogs.com/zhijianliutang/p/4050931.htmlObjectiveThis article continues our Microsoft Mining Series algorithm Summary, the previous articles have been related to the main algorithm to do a detailed introduction, I for the convenience of display, specially organized a directory outline: Big Data era: Easy to learn Microsoft Data

Some time ago, because the project used the algorithm of sequential mining, brother recommended me to use SPMF. Make a note here. Let's start with a brief introduction to SPMF: SPMF is an open source data mining platform with Java development. It provides 51 data mining

The previous blog describes the idea of Apriori algorithm and Java implementation, http://blog.csdn.net/u010498696/article/details/45641719 Apriori algorithm is a classical association rule algorithm, However, as mentioned in the previous blog, it also has two fatal performance bottlenecks, one of which is that frequent set self-join generation candidate sets may

itemsets, such as Apriori and DHP algorithms. These "class Apriori" algorithms are subject to (1) processing a large number of candidate sets (2) to duplicate the scan database limit. Jiawei Han presents a frequent pattern tree (FP-TREE) structure for storing frequent pattern compression structures and key information. In addition, an algorithm called Fp-growth is developed for mining a complete set of fre

This article is mainly to continue the previous Microsoft Decision tree Analysis algorithm, the use of another analysis algorithm for the target customer group mining, the same use of Microsoft case data for a brief summary.Application Scenario IntroductionIn the previous article, we used the Microsoft Decision tree Analysis