Brief description: it can be judged and union queries, and the program directory is exposed when an error occurs, which can be used comprehensively.Detailed Description: exists in the http://t500.g.pps. TV, the execution prompt error, still can query the contentProof of vulnerability: http://t500.g.pps. TV /last.php? Aname = pps p = zsshs and 0 = 1 union select null, @ version from sysobjects --
In additi
, constraint pk_tnumber primary key (ele) organization index
Select rownum id from dual connect by rownum
Then, the constant 100 is no longer needed to ensure accuracy and good performance.
ID NAME------------------1 01 11 51 21 81 102 92 72 83 Hello3. He is good3 Hello everyone
12 rows selected.
Next, let's test the performance: switch to the first line. For the U.S. server, test the environment: the DELL D630 has been using an old notebook for four and a half years, and the disks are all frag
AbstractWe can see the ThinkPad photo and datasheet on the temvina platform.
IntroductionX200, sl300, sl400, r400, and t500 are selected from top to bottom.
The x200 is the shortest, And the t500 is a little thinner than the r400. The new SL series is the thickest.
Region under DatasheetX200_datasheet.7zSl400_and_sl500_datasheet.7zR400_and_r500_datasheet.7zT400_and_t500_datasheet.7zW500_datasheet
itemsets, ending.
apriori algorithm description
Input: Database , minimum support level threshold.Output: The frequent set in.
Begin
=1-frequent itemsets;
DO begin
{Call function generates candidate-itemsets through frequent-itemsets}
For all databases do begin {scan for Count}
{Use subset to find all the subsets of the candidate in the transaction}
For all candidate sets Do
End
End
End
Return {form a set of frequent itemsets}
?An example a
: # count the number of new frequent item sets if set (c)
Test example Data = {'T100':['I1','I2','I5'], 'T200':['I2','I4'], 'T300':['I2','I3'], 'T400':['I1','I2','I4'], 'T500':['I1','I3'], 'T600':['I2','I3'], 'T700':['I1','I3'], 'T800':['I1','I2','I3','I5'], 'T900':['I1','I2','I3']}
Complete code:
#! -*-Coding: UTF-8-*-import itertoolsclass Apriori: def _ init _ (self, min_sup = 0.2, dataDic ={}): self. data = dataDic # construct a data
Cause: Accidental sudden interest, clean up their old T500 computer, used to make a home development machine.There should be a ghost backup habit for every system, so you need to build your development environment in advance. And one of the purposes of the newly installed system is to study the problem of andriod development, so the configuration of the Java environment is started.Problem: The operating system is 64-bit, the database software is also
frequent, the candidate is certainly not frequent, so that it can be removed from CK.
(Tip: Why do you compress CK?) Because the actual situation of transaction records are often stored on the external storage, such as databases or other formats of the file, in each calculation of the candidate count will need to compare the candidate with all transactions, it is known that access to the external memory is often relatively low efficiency, so Apriori joined the so-called pruning step, The candid
ThinkPad Lenovo notebook A key to restore your system to the initial state, so you do not have to run the computer city, simple and easy to use OH.
Pre-installed WIN7 system A key to restore to the factory state of operation (applicable models: ThinkPad SL410, SL510, x200,w500,t400,t500,r400 pre-installed Win7 models)
Note: Before you make one-click Restore to factory settings, be sure to back up important data from each partition to your mobile har
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