# Questions tagged [data-mining]

This tag is for questions about data mining, which is an interdisciplinary subfield of computer science. It is the computational process of discovering patterns in large data sets.

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### Prove that lift(X->Y) < α ⇔ lift(X->¬Y)> α

I am learning about pattern and rule assesment of mined frequent pattern. One of such rules is lift, which is defined as the ratio of the observed joint probability of X and Y to the expected joint ...
24 views

### Find the center of a circle with fixed radius containing the maximal number of points in an 1D real dataset

Let us consider a dataset of real numbers, $x_1 \le x_2 \le... \le x_n$, where $n$ is a large number (~100 000) and a given $r > 0$ radius. I would like to determine an $\bar{x} \in [x_1,x_n]$ (not ...
14 views

### Calculate new ratings based on averages and counts?

For a while, I've been scraping a website for an item's "ratings" data. It seems to me that if I know (for any given timeframe): the start and end count of submitted ratings, and, the start ...
37 views

### Plot data points according to the pairwise distance matrix

Consider eight data points. The following matrix (i.e., a symmetric matrix with the lower triangle elements) shows the pairwise distances between any two points. 0 11 0 5 13 0 12 2 14 0 7 17 1 18 0 ...
15 views

### Hierarchical Clustering with Ward Distance

I know how hierarchical clustering (with a certain definition of inter-cluster distance) works. And I know that Ward's procedure is based on the goal of minimizing the sum of the squared errors ...
10 views

### How can I calculate the confidence of W -> Z\W

I am learning about Itemset mining and association rules. Studying, I came upon this definition To clarify, "minconf" its a variable designated by the user to determine the minimum ...
20 views

### MAR (Missing At Random) and its probability of missingness

I am aware that MAR (Missing at Random) means the propensity for a data point to be missing is not related to the missing data, but it is related to some of the observed data. However, what I am ...