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Data mining uses methods from artificial intelligence in a database context to discover previously unknown patterns. As such, the methods are usually unsupervised. It is closely related but not identical to machine learning. Key tasks of data-mining are cluster analysis, outlier detection and mining of association rules.

3 votes
2 answers
719 views

how to find outliers from high-dimensional data set?

The data has about 40 features and 500,000 instances. And the data is sparse. I wish to fit a svm model with the data. To fit svm, I need to first scale the data. However, if the data contains many ou …
Xiang Zhang's user avatar
5 votes
1 answer
1k views

Which algorithm is more often used in recommendation system?

I have a data set with 100,000 instances and about 40 features. Each instance is a customer and each feature is a property of the customer. The first column is binary 0/1 which indices whether the cus …
Xiang Zhang's user avatar
3 votes
2 answers
289 views

how to solve the problem that the positive instances are much less than negative instances i...

For example, I have a data set contains 100,000 instances. There are only about 5,000 positive instances and negative instances are 95,000. I wish to fit the data using logistic regression or svm. How …
Xiang Zhang's user avatar
31 votes
3 answers
42k views

How to know whether the data is linearly separable?

The data has many features (e.g. 100) and the number of instances is like 100,000. The data is sparse. I want to fit the data using logistic regression or svm. How do I know whether features are linea …
Xiang Zhang's user avatar