Tagged Questions

0
votes
0answers
40 views

Feature Extraction

I have some tweets labelled as religion and education. I want to extract features from them so that I can make a model to predict future tweets. Can someone please suggest something??
3
votes
1answer
45 views

Methods for teasing apart the influence of different time series features on a target feature?

Are there any established methods for teasing apart the influence of different time series features on a target feature? To illustrate: The target: Sales volume of kittens. Features: Time of year, ...
0
votes
0answers
99 views

What are the good algorithms for feature extraction for large dataset?

I have KDD dataset for detecting fraud actions on networks but it has millions of lines and >20 feature columns. Thus it is not viable to process all these on my personal computer. I am thinking about ...
2
votes
1answer
94 views

How to do feature selection for learning from positive and unlabeled examples?

I have a binary classification task for German webpages for which I only have positive examples. That is why I use learning from positive and unlabeled examples as described on this page, also known ...
5
votes
1answer
455 views

How to avoid overfitting when using crossvalidation within Genetic Algorithms

This is a long set-up, but the pure intellectual challenge will make it worthwhile I promise ;-) I have marketing data where there is a treatment and a control (i.e a customer gets no treatment). The ...
2
votes
1answer
164 views

Are randomForest variable importance values comparable across same variables on different dates?

Are randomForest variable importance comparable across same variables on different dates? I have a data array X which is of size $T\times N\times K$, where $T=1500$, $N=1500$ and $K=10$. ...
2
votes
2answers
237 views

Variable selection in large datasets

I'm looking for an overview of some methods of variable selection. I use datasets with around 6000 variables (the level of missing values is satisfying i.e. there are no variables with 100% missing ...
3
votes
1answer
426 views

Text feature vector extraction

I have a class assignment to implement a couple existing ways to extract feature vectors from a given set of texts, so they can be used to classify those texts using k-nearest neighbour algorithm. The ...
1
vote
0answers
118 views

Measures of predictive power of attributes in data mining

What are the most widely used measures of predictive power of attributes in scoring models? Motivation: I have a lot of attributes, more than I can study by myself and I want to select somehow the ...
6
votes
6answers
1k views

Algorithms and methods for attribute/feature selection?

I have data with continuous class and I'm searching for good methods to reduce number of attributes. Now I'm using correlation based filters, random forests and Gram–Schmidt algorithm. What I want ...