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Questions tagged [association-rules]

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Reinstalling Orange Add-on over again

After I upgraded to the latest orange version (3.36.2), I observed that whenever I install an add-on, for instance, Bioinformatics, when I close and reopen the orange software, all the new add-ons are ...
Ayodeji Samuel's user avatar
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0 answers
22 views

How to find optimized combinations of values in input columns that produces the values in output column

I have multiple input columns that produce an output column. I want to find optimized combinations of the values in the input columns that produce the values in the output column. For eg: So, the ...
BitastaB's user avatar
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9 views

SubGroup Discovery on unseen data

The technique of subgroup discovery in data mining is known for using Minimum Description Length (MDL) and Rule-Based Induction to calculate the complexity of a learner and divide a dataset into ...
Emiliano Rosso's user avatar
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13 views

Apriori algorithm formula: difference between support and frequency

What is the correct way to calculate support? I have seen two different ways and I'm confused as a result. One way (say first approach) is explained https://en.wikipedia.org/wiki/...
Srishti M's user avatar
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Unable to create associations using Apriori association rule algorithm for my dataset where the support is 0.01, confidence=0.8 and maxlen=10

Here's the code that I'm using: library(arules) library(arulesViz) library(tidyverse) library(readxl) library(knitr) library(ggplot2) library(lubridate) library(plyr) library(dplyr) tr <- read....
Abhik Bagchi's user avatar
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0 answers
19 views

Unsupervised rule extraction of categorical data

I have a dataset of network traffic with three features that I would like to extract rules from in order to apply firewall/flow control rules i.e. the permitted flows. I am able to classify a ...
user153170's user avatar
1 vote
0 answers
52 views

Mining association rules between time series

I have a pandas dataframe that represents a time series. My time series is segmented over the phase type that the robot is performing (i.e. I have a column with the phase type per timestamp and the ...
Andrea's user avatar
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1 vote
0 answers
10 views

Group or find associations and orderings for elements that appear in different samples (analyzing examples of input files for undocumented code)

I'm trying to understand and use a physics simulation code that was written decades ago. It uses input files that have their origins in stacks of punch cards as input. In other words each line is a ...
uhoh's user avatar
  • 121
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1 answer
140 views

Possible NLP approaches to extract 'goals' from text

I am planning to take up an interesting NLP project. I want to extract 'goal' statements from lengthy reports. For example, the goals can be We would be reducing our carbon footprint by 50% by 2025 or ...
air cooled's user avatar
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0 answers
30 views

How can deep learning be applied to association rule mining?

Association rule mining is considered to be an old technique of AI. Rules are mined on statistical support. How can deep learning be applied to this? What are approaches for structured data (in a ...
user3352632's user avatar
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1 answer
381 views

What is the Zhang's rule?

I'd been doing some reading on Association Rule Mining and bumped into a Kaggle dataset where a competitor had applied Zhang's rule. I would like to know what it is. I tried to look for it online, and ...
Anonymous Person's user avatar
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2 answers
68 views

Association Mining / rules are the statements appears to be true

I have a problem. I don't know how I cloud explain which of the three statements appears to be true and if my calculation below is invalid?` The following table summarizes the results of a medical ...
Test's user avatar
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3 answers
90 views

Association Mining - is buying Independent?

I have a problem. I can't not solve this exerciese. What is the best way to solve this exerciese? What are the approaches for this kind of exerciese? The following table summarizes transactions in a ...
Test's user avatar
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1 answer
91 views

Associationg Rules/ Mining is this association rule strong

I have a problem. I can't not solve this exerciese. What is the best way to solve this exerciese? What are the approaches for this kind of exerciese? The following table summarizes transactions in a ...
Test's user avatar
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1 vote
0 answers
35 views

How to generate more market basket association rules for products with smaller basket sizes?

I'm working with data where many customers only buy 1-3 products at a time, meaning that there aren't enough products being purchased together for the market basket algorithm to determine associations....
tarana's user avatar
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0 answers
215 views

Association rules - Find 100% confidence rules [closed]

Suppose there are 100 items, numbered 1 to 100, and also 100 baskets, also numbered 1 to 100. Item i is in basket b if and only ...
AskSmart's user avatar
1 vote
0 answers
97 views

Apriori algorithm with tags

In apriori algorithm, we can create association rules with respect to the frequencies of the corresponding data set. My question is, what if we have tags data in addition to the transaction data. For ...
datatech's user avatar
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1 answer
87 views

Confusions about fp tree growth numerical-:

If fcam=3,Would conditional fp tree still be c=4 or what would it be? My guess is that it should be f=3,c=4,a=3,m=3. Am I right? Or what else would it be? Please guide. Also, in this below figure(same ...
achhainsan's user avatar
1 vote
0 answers
24 views

How to figure out what elements are missing from a set, based on other sets?

I would like to solve a problem where I have a set of sets of possible values, but some elements of some sets are corrupted/deleted, so I had to figure out what is the most probable candidate ...
Fredrik's user avatar
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1 vote
0 answers
15 views

Association rules mining

Consider for a dataset with many transactions each with items sold. Now, consider that we are given minimum support level and confidence level and that we have constructed the tables L1 and L2 each ...
Adam John's user avatar
0 votes
1 answer
327 views

Create clusters based on specific keywords

I am working on raw text data. I am using clustering to put together common words in the documents. My requirement is to create clusters based on a specific list of words i.e I want to get a group of ...
Sid's user avatar
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1 vote
0 answers
479 views

Filtering redundant Association rules

After performing association rule mining, (using mlxtend library), I have gotten a pandas dataframe containing all the association rules. This contains too many rules, therefore we must reduce the ...
Anjan Sri's user avatar
0 votes
1 answer
175 views

Association rules for classification

I'm working on a classification project. I have many rows, containing many binary attributes, some of which are often appearing together, exactly like what we can encounter in the Market Basket ...
Adept's user avatar
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1 vote
0 answers
155 views

Confusion about maximal and closed itemsets in association rules

So I'm studying association rules and Apriori algorithm for my data science class. There's a section about compactness (compact representation of frequent itemsets). I'm not sure whether I'm not ...
Koy's user avatar
  • 111
2 votes
1 answer
65 views

Association Rules

I'm using association rules for a project and noticed that there is a dearth of papers in the last 10-15 years on the topic although it seemed really popular 15-25 years ago. Is there any reason why?
Joseph Gutstadt's user avatar
1 vote
0 answers
67 views

How to infer which sequence of events are more likely to result in an event of interest?

Background I have a sequence/series of events. Some sequences will end up with an event of interest $y$, while others won't. $$S_1 = [a, b, c, d, ..., y]$$ $$S_2 = [a, b, b, e, ..., a]$$ $$...$$ $$S_n ...
Ben's user avatar
  • 141
1 vote
2 answers
244 views

Association rules in R / Subset rules based on feature

I tried using the apriori algorithm in the arules library for association rules mining in R. There's two thing I'd like to ask: Why are the lhs and rhs of the rules in intervals? For example U get ...
NeR0's user avatar
  • 55
1 vote
1 answer
384 views

Association Rules with Python (coded dataset)

I have this dataset which I really need to use association rules techniques on. The dataset has like 90 variables, many of which are ordinal. Thing is, the data is already coded using numbers instead ...
NeR0's user avatar
  • 55
2 votes
1 answer
805 views

How do I predict a set of frequently bought items?

I have a dataset of retail transactions wherein different users buy certain items together. For example, a user A buys a toothpaste, a toothbrush and a floss at the same time, and a user B buys a ...
Dominique Vernado's user avatar
0 votes
1 answer
393 views

Apriori gives 0 rules

I am trying to use apriori() on this dataset. After cleaning it, I made all attributes categorical with as.factor(). Then I uset these instruction: ...
user96624's user avatar
  • 169
1 vote
1 answer
84 views

Association rules: Find the recipe for a list of ingredients

Assume I have big database of recipes. For each recipe I have a list of ingredients. Now I want to find all association rules in the form of ...
Fabian Winkler's user avatar
1 vote
0 answers
38 views

Upsell project based on sales records

in my company we are working on a upset project in which we are trying to solve the following problem: What we propose to our customer that he/she may be interested in based on the fact that he/she ...
jack87's user avatar
  • 111
1 vote
3 answers
128 views

Association rule learning for multi-classification suggestions

The task is the following: given a training set of medical symptoms and an associated diagnosis, output a list of the most likely diagnosises for a combination of symptoms. As of now, a solution ...
Roukah's user avatar
  • 61
2 votes
1 answer
132 views

Association Rule Mining across two market baskets

I am quite familiar with Association Rule mining but I need to use it to associate ACROSS two market baskets instead of finding support WITHIN a market basket. Imagine customers come to a Store A ...
HakunaMaData's user avatar
-1 votes
1 answer
2k views

Recommend another product only on purchase history of users available

I have data in the following format. ...
Mighty's user avatar
  • 153
-1 votes
3 answers
66 views

Predict Data Linking

I've two different datasets A(x1, x2, x3...xn) and B(y1, y2, y3...yn). Each instance in A is linked with an instance in B i.e. only one unique pair exists. ...
daemonkiller's user avatar
2 votes
1 answer
153 views

How to create group IDs for people in longitudinal data

I have a large data set which contains individuals and the address where they live. I want to create a group ID based off shared addresses (the working idea: people who share the same address can be ...
Alex Winters's user avatar
1 vote
0 answers
53 views

rule generation in a big dataset

Given a dataset with 30 fields and 25000 instances, 1) what are your suggestions for novel methods of rule extraction? 2) Can I use association rule mining in addition to sequential rule mining? 3)...
anna's user avatar
  • 11
1 vote
0 answers
139 views

Is the Apriori algorithm suitable for database tuples?

Problem description: I need to use an association rule algorithm that lets me use database tuples and I think Apriori is a good option, but I am not sure. Starting point: I know the Apriori ...
xvlaze's user avatar
  • 111
1 vote
0 answers
49 views

Mining Association rules from a data warehouse and a transactional database [closed]

I wonder if it is possible to perform market basket analysis to extract the association rules from a data warehouse and a transactional database in the same time to predict the future purchases of a ...
Geek Girl's user avatar
1 vote
1 answer
559 views

How can causal inference be used with machine learning?

I am wondering how Causal inference is being used with machine learning and specially where in the data science project ? I have ...
deltascience's user avatar
1 vote
0 answers
35 views

What is confidence reflexivity in association rules?

I did not understand the meaning of reflexivity term in association rules. I could not find a basic explanation about it. All I found was just academical researches and they heavy for me. Can anybody ...
JollyRoger's user avatar
0 votes
1 answer
483 views

What algorithms can be used to derive matching rules between known matches in datasets?

Lets say I have two datasets with different column names except for a unique ID key Table 1 CSV ...
Einhandler's user avatar
2 votes
2 answers
176 views

Which data mining or machine learning algorithm would be appropriate for learning ordered frequent patterns?

I have a dataset as (var1, var2, out), where the ordered pair <var1, var2> gives out. ...
user3243499's user avatar
1 vote
1 answer
32 views

Any idea to what $\bar{X}$ refers to in association rules? Is it "not-$X$"?

Any idea to what $\bar{X}$ refers to in association rules? Is it "not-$X$"? It's in the context of interestingness measure for rule $X \rightarrow Y$.
mavavilj's user avatar
  • 416
1 vote
1 answer
2k views

What's immediate superset?

What's immediate superset? Why is it called immediate? They appear in the context of Apriori algorithm. Particularly the one enhanced with hashing.
mavavilj's user avatar
  • 416
-1 votes
1 answer
97 views

Using machine learning to optimize parameter scores [closed]

I have a dataset containing fraud and non fraudulent data. The system in place is a rule based engine with over 20 rules. If the total score is above a certain threshold the payment is classified as ...
phpcoding's user avatar
1 vote
0 answers
213 views

Applying association rules for variable prediction in R

A have a data frame with shops with a number of independent variables (all categorical), I'm trying to find a decent model to predict a dependent variable that is ordered and categorical (ie volume of ...
Strabonio's user avatar
  • 173
1 vote
0 answers
151 views

How is FP-Tree used in FP-Growth maintained for large dataset

I was studying about Association Rule Learning and got to know about FP-Growth algorithm. I am wondering that how is FP-Tree maintained for a really large dataset, for example, that of Amazon and eBay....
Akshansh Jain's user avatar
2 votes
1 answer
792 views

If deep-learning learns features, aren't we saying it can learn association rules?

If deep-learning learns features, aren't we saying it can learn association rules ?
harry potter's user avatar