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Questions tagged [data-mining]

Using the techniques of artificial intelligence and machine learning to extract patterns from large data sets and transforming those data into a useful, organized form for future processing.

0 votes
0 answers
64 views

I have a simple question of how would you measure the logicality of a programming language? EDIT: I was asked to specify the term "logicality". Hence I will try and provide a stipulation. By ...
Shawn W.'s user avatar
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0 answers
43 views

I want to make a Galaxy schema of a Restaurant. There are 2 fact tables sales and purchases. sales are related to customer and purchases to supplier of ingredients. Now my question is how can i make ...
MUHMMAD MURTAZA's user avatar
1 vote
1 answer
173 views

I saw a post on Reddit (https://www.reddit.com/r/math/comments/ci50d3/visualizing_mathematical_subjects/) that utilizes label propagation, Fruchterman-Reingold algorithm, and edge betweenness ...
ZENG's user avatar
  • 113
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60 views

I have a project to match two groups of people. Under insurance, if the initial sales agent leaves the insurer, their customers will become so-called “orphan customers”. I've given a big data set ...
Yumi's user avatar
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1 vote
1 answer
75 views

I have used different machine learning algorithms to predict solar panels' power output. There are ten independent features for weather data. In all models, I set time as an index and have used the ...
graphicart86's user avatar
0 votes
0 answers
151 views

In the apriori algorithm there's the self join step, So, say we have 1 3 2 3 3 5 2 5 If I were to do an exhaustive join I'd end up with a tuple including (1, 3, ...
Cookie's user avatar
  • 101
1 vote
3 answers
2k views

We were doing project work for plagiarism checking. For this purpose, we have taken a term frequency vector of two documents and measured the similarity using a cosine similarity measure. The value of ...
Tushar Saha's user avatar
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0 answers
158 views

Suppose I have a list that reflects the priority of web pages for recrawling: l1 = [3, 2, 1, 4, 2, 5] Now, I have tried to estimate the priorities with two ...
Ashkan Khosravani's user avatar
1 vote
1 answer
59 views

I am working on building ML/DL solution for a problem where that data is considered, naturally similar and I am worried if that would be considered as data redundancy. My question is, is that so? and ...
Luka's user avatar
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1 vote
0 answers
101 views

I am studying data mining and I stumbled upon types of attributes. They are Nominal Ordinal Interval Ratio Data mining book by Tan,Steinbech,Kumar says Permissible transformations for-: nominal-: ...
Team B.I's user avatar
  • 289
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0 answers
63 views

I'm currently going through past paper questions and was wondering if I could get some help answering this one? 'Consider a classification model which is applied to a set of records, of which 100 ...
curiousCoder's user avatar
1 vote
0 answers
36 views

I don't understand two parts in this paper: The min notion on page 4 line 357 (equation 10d): I understand this as to find all the $M_{10}$, $M_{11}$, $M_{01}$ first and then try to minimize the ...
nguyenhienph's user avatar
0 votes
1 answer
184 views

I am working on a Fraudulent Cash Transaction Detection System using DBSCAN and I want to know what is the proper way to identify outliers? Thank you ##Edite## I had a problem how to represent the ...
Xx_22's user avatar
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1 vote
1 answer
54 views

So, for the sake of simplicity, I am going to use English characters for this example. Let's say I have a set of strings of characters in English ranked by difficulty: Easy, Intermediate, Advanced. So ...
Lathan's user avatar
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0 votes
0 answers
66 views

I'm a student studying a data mining course and have come across a problem. I need to explain the problem with the help of an example scenario as I do not know how to explain the problem in any other ...
mahesh Rao's user avatar

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