Ayesha Javed ButtUniversity of Gujrat | UOG · Department of Computer Science
Ayesha Javed Butt
MS Scholar
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4
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Publications
Publications (4)
Weather data have two classes’ synoptic data and climatic data. Real time data (Synoptic data) is used in applications like forecast modelling and aviation; climatic data is recorded over certain period of time. Formerly weather was forecasted manually by observing sky conditions and current weather conditions with manual calculations. Weather cond...
Mobile phones are the most significant way of communication in this era and SMS is the extensively used mobile service around the globe. This ex-tensive use of SMS puts oil into fire of competition between different telecom companies. Only the one who manages to make subscribers believe "We care for you" can survive, obviously keeping company's own...
Mobile phones are the most significant way of communication in this era and SMS is the extensively used mobile service around the globe. This extensive use of SMS puts oil into fire of competition between different telecom companies. Only the one who manages to make subscribers believe “We care for you” can survive, obviously keeping company’s own...
this paper presents a review of "How AI, cognitive science and DM are combined to develop intelligent agents", and how the paradigm first shifted from AI to Data mining and then towards combination of data mining and artificial intelligence. The paper will also provide a state-of-the-art account of the cognitive architectures. It also gives a detai...
Questions
Questions (12)
Can anyone tell me why regression based model works better on numeric files?........is there any specific reason or it is just like that on all numeric dataset?
I'm using Newdtdnn model in neural network toolbox of matlab..........But i'm not getting any info about its learning or training process
Error in Untitled (line 35)
e=mse(zt-z)
The code is as follows;
clear all;
close all
%largedata
WinningData
tr=115;
testr=size(inputs,1)-tr;
intrain=inputs(1:tr,:);
outtrain=output(1:tr,:);
% point in two d
for i=1:size(outtrain,1);
z(i,1)=sqrt(outtrain(i,1)^2+outtrain(i,2)^2);
end
% fuzzy autorule generation
%keyboard
epoch_n = 2;
in_fis = genfis1([intrain z],3,'trimf');
out_fis = anfis([intrain z],in_fis,epoch_n);
y=evalfis(intrain,out_fis);
plot(1:size(y,1),y,1:size(y,1),z);
legend('Training Data','ANFIS Output');
intest=inputs(tr+1:tr+testr,:);
outtest=output(tr+1:tr+testr,:);
for i=1:size(outtest,1);
zt(i,1)=sqrt(outtest(i,1)^2+outtest(i,2)^2);
end
yt=evalfis(intest,out_fis);
figure;plot(1:size(yt,1),yt,1:size(yt,1),zt);
e=mse(zt-z);
str1=num2str(e);
out = ['Error= ' str1];
title(out);
writefis(out_fis,'test.fis')
Application area of behavior modeling along with its subarea e.g. game is one of its application area
I'm looking for a Sms based dataset similar to one provided at NUS website. Can anyone provide me either a dataset or a link to it.
I want to do intention minig to predict behaviors with the use of agents and cognitive architectures.........but i'm confused about the choice of case study.......lots of case studis and application area have been used for this purpose but i want the case study whose data is easily accessible.
I've gone through some scenarios, like hospital data process mining and restaurant process mining, but want to find a scenario that is not only new but whose log data is also accessible.
I know what an np complete problem is and the procedure to prove it but why do we have to prove a problem is NP complete or NP hard? What was the need to define this whole new class?
I recently came across this, but don't fully understand it:
"Take two problems A and B both are NP problems.
Reducibility - If we can convert one instance of a problem A into problem B (NP problem) then it means that A is reducible to B.
NP-hard - Now suppose we found that A is reducible to B, then it means that B is at least as hard as A.
NP-Complete - The group of problems which are both in NP and NP-hard are known as NP-Complete problem."
I need a software to create a log file for agents.
List of international journals in data mining.
