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Data Mining concepts and technologies chapter 2 (6th) Mining of Large Databases

Project set: the set of items, which is recorded as I. Milk, bread, apple, etc transaction: Transaction T is a set of projects in I, each transaction has a TID as the identifier. Project set X support Sup (X) Count (X) | D | Associate Rule X-Y support Sup (X-Y) Count (X-Y) | D | Associate Rule X-Y confidence level Conf Project set: the set of items, which is recorded as I. Milk, bread, apple, etc: Transacti

Solution to Android sliding conflicts (2)

direction.Overall Thinking See here First, make some settings for this figure: The black box indicates the mobile phone screen. A green box represents an outer ScrollView. Two red boxes represent two classes of ScrollView Control 1 nested in it. Here we are short for SUp and SDown. Now, let's analyze the process of implementing the entire process. It must be clarified that, at any time, the visible parts of SU

asp.net Ubb Use code _ Practical Tips

[u][/u] Mark R = new Regex (\[u\]) ([\s\t]*?) (\[\/u\]) ", regexoptions.ignorecase); for (M = R.match (sdetail); m.success m = M.nextmatch ()) { Sdetail = Sdetail.replace (M.groups[0]. ToString (), "} #endregion #region [p][/p] Mark Place [p][/p] Mark R = new Regex ((\ r \ n) *\[p\]) (. *?) ((\ r \ n) *\[\/p\]) ", regexoptions.ignorecase| Regexoptions.singleline); for (M = R.match (sdetail); m.success m = M.nextmatch ()) { Sdetail = Sdetail.replace (M.groups[0]. ToString (), "} #end

[Peterdlax reference for functional analysis exercises] Chapter 4th application of the Hahn-bananch Theorem

1. proof: If $ s =\sed {\ mbox {positive integer }$ in section 4.1, $ y $ is the space of the Convergence series, $ \ ell $ is composed of (14) the $ p $ given by (4) is equal to the $ p $ defined by (11. Proof: $ \ Bex p (x) = \ INF _ {x \ Leq Y \ In y} l (y) = \ INF _ {a_n \ Leq B _n, \ sed {B _n} \ In y} \ vlm {n} B _n. \ EEx $ by $ a_n \ Leq B _n $ Zhi $ \ Bex \ VLS {n} a_n \ Leq \ vlm {n} B _n, \ EEx $ and $ \ Bex \ VLS {n} a_n \ Leq p (x ). \ EEx $ on the other hand, for $ \ forall \ ve>

Use code for Asp.net UBB

]. tostring (), "}# Endregion# [U] [/u] Mark at regionR = new RegEx (@ "(\ [U \]) ([\ s \ t] *?) (\ [\/U \]) ", regexoptions. ignorecase );For (M = R. Match (sdetail); M. success; M = M. nextmatch ()){Sdetail = sdetail. replace (M. groups [0]. tostring (), "}# Endregion# [P] [/P] Mark at region// Mark [p] [/P]R = new RegEx (@ "(\ r \ n) * \ [p \]) (. *?) (\ R \ n) * \ [\/P \]) ", regexoptions. ignorecase | regexoptions. singleline );For (M = R. Match (sdetail); M. success; M = M. nextmatch ()){S

Common tool functions inherited by JS combination

This tool function has no practical significance, but because EXT's extend method is not well understood, it writes a simplified extend method to help you understand it. /*****/E = {}; E. extend = function (sub, sup) {// borrow constructor sub. prototype = sup; // reserve the constructor of the parent class for calling in the subclass constructor and bind the parent class variable to sub under this. protot

JS's judgment on basic types and reference types

, the uncertainty will give a although general but still can ensure the correct answer, this design is reasonable.The typeof operator is used only to detect basic types and functions and is no longer responsible for judging specific reference types.So how do you judge the type of a specific object?With the instanceof operator: var New Array (); instanceof Array; // Get True function Sup () {} var New

The perfect solution to the Android sliding conflict _android

the background to do the same direction sliding conflict analysis. Overall thinkingHere, look at the picture. Multiple ScrollView nesting diagram First, make some settings about this picture: 1. The black frame represents the mobile phone screen 2. The green box represents an outer ScrollView 3. The two red boxes represent the two class ScrollView controls that are nested inside, and here we briefly refer to the Sup,sdown OK, so let's analyz

C # written UBB code tired

(M.groups[0]. ToString (), "} #endregion Mark #region Place R = new Regex (\[u\]) ([\s\t]*?) (\[\/u\]) ", regexoptions.ignorecase); for (M = R.match (sdetail); m.success m = M.nextmatch ()) { Sdetail = Sdetail.replace (M.groups[0]. ToString (), "} #endregion #region [p][/p] Mark Place [p][/p] Mark R = new Regex ((\ r \ n) *\[p\]) (. *?) ((\ r \ n) *\[\/p\]) ", regexoptions.ignorecase| Regexoptions.singleline); for (M = R.match (sdetail); m.success m = M.nextmatch ()) { Sdetail = Sdetail.replace

Knowledge of nine Cisco Routers

Cisco router knowledge has become more and more widely used in modern enterprises. Next we will briefly learn about the secure router configuration solution. Knowledge of nine Cisco routers required by network engineers 1. Are the routing protocols supported by Cisco routers compatible with those of other manufacturers? In addition to IGRP and VPN, one of the Cisco routers is that all the routing protocols supported are compatible with the same protocols implemented by other manufacturers. IGRP

Introduction to the algorithm fourth chapter of division and Governance Strategy Programming practice (II.)

than, asymptotic greater than), what is asymptotic, is the difference between the two factors nε. Therefore, between the conditions 1 and 2 there is a certain gap between the same situation 2 and see 3 There is also a certain gap between, for Case 3, but also to see whether the regular conditions are met.Through the above, I believe that I should be clear about these three methods, you may be a little confused, but it doesn't matter, you just lack of examples of guidance, below we look at a few

Complexity of Time

. http://www.cnblogs.com/wu8685/archive/2010/12/21/1912347.htmlWhen an algorithm contains recursion, the problem of computational complexity or the problem of solving the recursive equation is transformed.There are several common solutions:Iterative method:The recursive equation is expanded iteratively to make it a non-recursive sum, and then the estimation of the solution of the Cheng equation is achieved by the estimation of the sum formula.ExampleThe calculation time of an algorithm is: t (n)

Review question One

One.1.22. $1+\frac{1}{e^2}$3. $y =\frac13 e x$4. $y =\frac \pi 4$Two. 1. A 2. D 3. C 4. B 5. BThree.1. Left limit\[\lim_{x\to 0^-} \frac{-\sin x}{x}=-1,\]Right limit\[\lim_{x\to 0^+} \frac{\sin x}{x}=1,\]So the original limit does not exist.2.\[\frac{dy}{dx}=-e^{2t}-te^{2t}, \qquad \frac{d^2 y}{dx^2}= 3e^{3t} +2t e^{3t}.\]3.\[\mbox{original}=2 \int x D (\sqrt{e^x

Disk Management under Linux

Cylindrical cylinderSector sectorHead Head/DEV/SDA1,/dev/sda2: First and second partitions of the first hard drivePartitioning is not a physical function of a hard disk, but a software feature.Mainstream partitioning: There are MBR and GPT mechanisms, the main differences are as follows:1.mbr:master boot record, master boot record, traditional partitioning mechanism, applied to most PC devices that use the BIOS (Basic Input Output System), the Apple Computer does not use the BIOS but EFI ( Exte

HDD Partition Memo (primary partition, extended partition and logical partition) and Linux hard disk partitioning tool parted introduction

more than 4 primary partitions for a hard disk with this type of partitioning structure.Here we need to draw out the extended partition:An extended partition is also a primary partition (Primary partition), but it differs from the primary partition in that it can theoretically be divided into countless logical partitions, each with an extended boot record (EBR) similar to the MBR structure. In the MBR partition table, up to 4 primary partitions or 3 primary partitions + one extended partition,

Divide and conquer algorithm-nearest point problem finding the closest pair of points

Problem Description:Input: Point set Q output on space plane: two closest point pairsProblem simplification: If you are looking for the nearest point pair in a straight line, you can use sorting and then find the nearest nearest point.Divided treatment ideas:Divide divides it into two parts q1,q2 T (n) = O (n)Conquer find nearest point pair Merge compare the distance between two points near the point of separation Time complexity: T (N) =o (1) n=2T (n

C + + implementation of merge sort MergeSort (using recursive method) __c++

The worst run time for a merge sort is O (nlogn) O (N\log N). Its idea is to put two ordered subsequence, through one traversal, merged and ordered in the third sequence. Obviously the time to merge two sorted tables is linear, with a maximum of n−1 N-1 comparisons, where N is the total number of elements. The total elapsed time is deduced as follows:Suppose N is a power of 2, which always splits into two equal columns at a time. For N=1 N=1, the time of the merge sort is constant, and we are 1,

Linux Lake 07: The trap of hard disk partitioning and its response

simple summary, the specific content please search the element):1. The traditional BIOS only supports booting from the MBR partition's hard disk. The partition table of the MBR partition is saved in the first sector of the hard disk, and only 64 bytes, so there can be up to four table entries. In other words, we can only divide the hard disk into 4 primary partitions, or divide it into 3 primary partitions and an extended partition. Extended partitions can also be divided into multiple logical

POJ-1149 pigs Network Flow

# Include # Include Using Namespace STD; Int M, N; Const Int Ss = 0 , TT = 103 ; Const Int INF = 0x3f3f3f ; // M pigsty and N Customers Struct Edge { Int V, C, next;} e [ 20005 ]; Int Cap [ 1005 ], Link [ 1005 ]; Int Idx, head [ 105 ]; Int Que [ 105 ]; Int Level [ 105 ]; // Divides each vertex into one layer. Int Front, tail; Void Insert ( Int A, Int B, Int C) {e [idx]. v = B, E [idx]. c =C; E [idx]. Next = Head [a]; head [A] = Idx ++ ;} Bool BFS () {front = T

Maximum subsequence and algorithm analysis-how important a good algorithm is for programming!!!

two parts and35intMaxleftrightsum = Maxleftbordersum +maxrightbordersum;36 37//the maximum value in Maxleftsum, Maxrightsum, and Maxleftrightsum is the maximum subsequence and38intMaxsubsum = 0;Maxsubsum = maxleftsum > maxrightsum?maxleftsum:maxrightsum;Maxsubsum = maxsubsum > maxleftrightsum?maxsubsum:maxleftrightsum;41 42returnmaxsubsum;43}2.3.3. algorithm analysis set t (n) indicates the elapsed time of the input sequence length n, if n=1, that is, only one element, then left==right, so ther

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