# 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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### Least Squares but with entries of Beta

I can only find Bj_hat but cannot find how Bj_~ is equals in the first problem.problem image. The notation I find for Bj_hat is sum from i=1 of ((y1 - B0 - sum l not j (xil*Bl)*xij)/ sum from i=1 to n ...
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### given a symmetric matrix A, of dimension n*n and an arbitrary unitary matrix V of dimension n*d . Maximize the trace of $V^T A V$

$$\left\{\begin{array}{l} \max _{V \in \mathbb{R}^{n \times d}} \operatorname{Tr}\left[V^{T} A V\right]=\lambda_{1}+\cdots+\lambda_{d} \\ V^{T} V=I \end{array}\right.$$
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### What metrics can be used to describe the clustering of a group of points?

Consider a set of points $\Omega \subset \mathbb{R}^n$ (to make it simple, consider $n=2$). So you basically have a bunch of points on a plane. I need to find good metrics that can describe the ...
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### example 1.4 chapter 1 from mining of massive data sets book

I am reading the book mining of massive data sets. (http://mmds.org/) In its chapter 1 http://infolab.stanford.edu/~ullman/mmds/ch1.pdf following section is there on page 9. Example 1.4: Suppose ...
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### exercise 1.3 from Mining of Massive Data Sets book

Hello there is a question given in Mining of Massive Data Sets book http://infolab.stanford.edu/~ullman/mmds/ch1.pdf it is on page 15 exercise 1.3.2 My solution is following: as there are $10$ ...
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### Bonferroni’s Principle discussed in Mining of Massive Data Sets book

I am reading a chapter of book Mining of Massive Data Sets book is available here http://www.mmds.org Chapter 1 http://infolab.stanford.edu/~ullman/mmds/ch1.pdf Now in Section 1.2.3 An example of ...
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### Definition of Entropy (Information Theory)

In Information Theory, entropy is defined as: $$-\sum_{i}P_ilog(P_i)$$ where $-P_ilog(P_i)$ looks like this (using log base 2): From just a generic English definition of entropy, meaning lack of ...
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### Can i use the coefficients of a trained model of Logistic Regression as a result itself without using the model on unseen data?

I'm trying to figure out if i can use a logistic regression as a predictive model, to estimate the probability of response of a user in CRM by having the predictors and i also have the class (...
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### How is Autoregressive Model used in longitudinal data analysis?

I know that in the analysis of time series, Auto-regressive Model such as AR(1) is frequently used. In the context of time series, there is no covariate (or the only covariate is time). In the context ...
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