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Questions tagged [association-rules]

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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
2 votes
1 answer
154 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
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
2 votes
0 answers
41 views

Can inferencing come from incomplete rule sets?

I have some data for medical diagnosis, consisting of some rules about relationship of diseases and their symptoms, for example disease D1 frequently has symptom S1 or disease D2 rarely has symptom S1....
Dandelion's user avatar
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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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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
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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
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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
1 vote
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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
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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
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
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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
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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
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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
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1 vote
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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
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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
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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
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
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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
1 vote
0 answers
391 views

Mapping xml tags by Rule Learning/Generation Algorithms

I'm trying to map tags/attributes from xml files from different sources. I've found a paper called Semantic Mapping of XML Tags using Inductive Machine Learning. Among various things, it also talks ...
Saurabh Verma's user avatar
1 vote
0 answers
17 views

Associating processes with load on the system

I am trying to find out the processes on our linux servers that are responsible for load on the system. We have an application server and an Oracle database server (both running Linux). The ...
ramana_k's user avatar
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Numerical data and different algorithms

I was hoping to get some help on a task I have been given. I have a data set with the chemical breakdown of a drink. My job is to find some sort of analysis with the given data. The data has 10 ...
DataScientistWNB's user avatar
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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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0 answers
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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60 views

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
0 votes
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
0 votes
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
0 votes
1 answer
90 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
0 votes
1 answer
328 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
  • 101
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
  • 874
-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
-1 votes
1 answer
287 views

Inverse Association Rules

Association rules are a very common technique when you want to figure out which events happens together (like burger and bread mostly sell together). In marketing this technique is used to find out ...
Amir's user avatar
  • 101