March 2006 - Posts

25 March 2006
Creation of Data Marts for specifc DM Problems (PLEASE HELP)

 
   Hi, my name is Daniela Cargnin. I am an M.Sc.Candidate in Computer Science at the "Universidade Federal do Pernambuco - UFPE" here in Brazil.
   Im needing some help.
   Im working on my dissertation and its related to the process of Data Mining.
   Im going to talk about a methodology for the creation of specifcs "data marts" for Data Mining problems. It is known that depending on the DM problem (classification, clustering, ...) we have to do some kind of transformation on the data. One example, is the creation of behavior variables, specially used on behaviour scoring. For the creation of a model to behaviour scoring, we have information about the clients and their shoppings (their contracts and theirs respective parcels). The granularity of the base that we want to aply to the model is "contract". So, we have to aggregate all informations about the client (relative to their contract's parcels) in new variables to improve the quality of the data base (and create the behaviour of the client).
    One exemple of behaviour variable is "Quantity of previous contracts", "Quantity of parcels payed with overdue", and so on...
    Depending on your DM problem, you have to do other kind of data aggregation and transformation to improve de quality of the model.
    My question is if there is any methodology related to this. Im searching for this but I cant find, because I dont know if there is a specifc name to this kind of methodology in english.
    Does anybody knows where I can find some material related to this or if is there any methodology about it?
   
I really appreciate any help.
 
Best reguards...
 
Daniela Cargnin  

18 March 2006
outlier algorithm??????
hello everyone!
        I need outler algorithm code ,such as Nested_loop algorithm.if you help me,i will be very appreciate!!!!!
18 March 2006
need K-nearest neighbour source code in C/C++---URGENT

hello friends

i am new to this forum.i heard a lot about this forum through my frenz.

i urgently need k-nearest neighbour source code in C language.

plz help me.I have to use this in my assignment.

if anybody has the source code plz send it to santhoshkotte@yahoo.com

 

 

thank u

14 March 2006
PLEASE HELP ME WITH ANN PROBLEM
Hi Guys,
 
I kindly ask for your help with regards to my DM project. I am working on a project that is related to the field of agriculture and that has as an objective to find the "optimal values" of the operating conditions that affect the outcome (the amount of meat produced i.e. the weight) of an animal production (chicken broilers in my case). To do so, I have to use historical data of previous productions as my training dataset.  The length a production cycle is typically around 44 days.  For each production, a data acquisition system stores the real-time and historical data of hundreds of parameters. These parameters represent sensor measurements of all the operating conditions (current temperature, set point temperature, humidity, static pressure, etc...) and these are what I refer to as the inputs.  The operating costs and the production outcome are what I refer to as outputs.  The operating cost is indirectly computed from parameters like water consumption, feed consumption, heater/cooling runtimes, and lighting runtime; and the outcome of a production is defined by parameters like animal mortality and conversion factor (amount of feed in Lbs to produce 1Lb of meat).  So the main objective of this project is to find the set of “optimal daily values” (1value/day) for the inputs that would minimize the operating costs and conversion ratio outputs. 
The biggest problem I am facing right now is the following:  The historical data that I have in the DB are time series for each measured parameter.  Some of these time series follow some kind of cyclic pattern (e.g. daily water/feed consumption …) while others follow an increasing/decreasing trend (animal weight, total heater run time, total water/feed consumption…..).  My goal is to be able to come up with a model that suggests a set of curves for the optimal daily values throughout the length of the production cycle, one curve for each measured input/output parameter. This model would allow the farmer to closely monitor his production on a daily basis to make sure his production parameters follow the “optimal curves” suggested by my model.  I have looked at ANN and I think it might be the solution to my problem since it allows to model multiple input/outputs problems (Am I wrong?), but I could not figure out a way to model the inputs/outputs as time series (an array of values for each parameter). As far as I know, all kinds of classifiers accept only single valued samples.
One approach would be to create one classifier/day (e.g. for day1: extract a single value for each parameter and use these values as a training sample and repeat this for all previous production to construct the training set). The problem with this approach is that 44 or so classifiers will be constructed (hard to manage all of this) and each of these resulting ANN will be some kind of “typical average” of the training data but not necessarily the “optimal values” leading to the best production outcome, if I am not mistaken.
Another approach would be to find a way to feed in the inputs and outputs as time series (an array of 44 daily values for each input/output parameter).  In this case, there would be only one resulting ANN and the training samples, would be a set of arrays for each parameter, as opposed to single daily parameter values in the first case.  The problem is, I could not find any classifier that would allow me to do that.

Another issue that I have is the amount of data. While a single production cycle could represent 1-2GB of data, the length of the production cycle (44 days) makes it difficult to have 100’s of production cycle historical data, as I could gather data for no more than 7 full cycles/year.  Fortunately, a farm can have many production units (5-10 barns/site in big sites), so this makes it possible to have 40-70 cycles/yr.  My question is: would this be enough to come up with an acceptably accurate model or is it necessary to have hundreds of samples?

Thanks for taking the time to reading this lengthy e-mail, and I really appreciate your help and thank you in advance.

Cheers.