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-1
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1answer
26 views

Apriori Algorithm Support Calculation [on hold]

Why Apriori functions in arules library in R returns different values that what it should be? The sample data in the pic below. Each line between {} means that it is a single transaction. So ...
1
vote
3answers
43 views

Finding association rules / frequent Itemsets - what are the application restrictions

What are the restrictions of application fields in searching for association rules (finding frequent itemsets)? All examples I came across cover topic of 'true' basket-analysis in the sense of using ...
1
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0answers
43 views

Frequent Itemset Mining / Event / Sequence Analysis in R

I have a 1 column, 2000 row dataframe. Each row contains a customer event sequence that concludes with a purchase of item X. The dataframe looks as follows: ...
0
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0answers
17 views

Valid to limit Market Basket Analysis to sets of transactions > 1?

I am trying to do a market basket analysis on sets of financial securities transactions for one of my clients. My client is interested to know what securities are purchased together, but I find that ...
0
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1answer
37 views

Difference in rules via apriori() with target “frequent itemsets” and ruleInduction() and via apriori() with target “rules”

Regarding R package arules: To my understanding the Apriori algorithm works by first finding all frequent itemsets that meet the support threshold and then generate strong association rules from the ...
0
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0answers
15 views

Minimum population for decision trees and association rules

Hi I'm quite new to this and I'm playing around with R and Microsoft's SSAS. Does anyone have a rule of thumb how big a data set has to be for association rules and decision trees to be statistically ...
1
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0answers
15 views

Is confidence transitive in asociation rules?

Given a set of rule such as: $A \rightarrow B$; $B \rightarrow C$; that satisfy minimum confidence in the context of apriori algorithm meaning: $$\text{Conf}(A \rightarrow B) \geq \text{min. ...
0
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0answers
22 views

Association Rule Mining

I am using association rule mining on a large transaction data-set (about 100,000 items). Till now I have done frequent item set mining and constructed some rules using a confidence and lift measure. ...
1
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0answers
33 views

An association rules algorithm that maintains the order of items

For example: if my dataset contains (A, B), but does not contain (B, A). Then the algorithm may generate the rule A -> B, but will not generate the rule B -> A. Is there an association rules ...
0
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0answers
27 views

building a decision tree after association rules

I built association rules using R Arules package. Then I filtered those rules and kept rules that have a specific variable on RHS. That variable is my Y variable. In entire dataset, my variable occurs ...
0
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0answers
18 views

Aggregation of association rules

Problem: A customer "Cu" is purchasing two items : (A,B). I'd like to know which item should I recommand to him between items C and D. The natural idea I have is to analyze the basket of previous ...
0
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0answers
25 views

Association Rules “with a kind of class”

I want to use/adapt a recommendation algorithm for posters in an e-commerce. The thing is that I want to use previous categories searched before posting in a particular category (has to be at a very ...
0
votes
1answer
69 views

encrypted data on CART, ID3

Some data are confidential such as patient data. Therefore sometimes companies does not want to give original patient data instead they first encrypt it(for instance with SHA1) and then give. If we ...
2
votes
1answer
76 views

Is there a package that I can use in order to get rules for a target outcome in R

For example In this given data set I would like to get the best values of each variable that will yield a pre-set value of "percentage" : for example I need that the value of "percentage" will be ...
2
votes
1answer
115 views

What is the best way to analyze additional attributes in a market basket analysis?

I am performing a market basket analysis of customers and the products they purchased. I did an a priori analysis on all of the transactions on the products they purchased to determine which items ...
0
votes
0answers
37 views

The use of rule statistics in classification

Recently I am working on some association rule mining problems. I have learned that during the post-mining stage, many statistical measures, such as lift, coverage, and conviction, can be used to ...
1
vote
1answer
24 views

Association rules for continuous features

I need to detect rules in a data set that contains real-valued features. A simplified example of my samples, defined by features a, b, and c, and having class 0 or 1, might look like this: 2.34, ...
1
vote
0answers
18 views

Find bound pairs/subsets

I have 6000 sets of ~350 items each, all from the pool of ~13800 items total. Items in each set do not repeat. I want to find rules like "if 1398 is present, 1035 will most likely be present too". ...
1
vote
0answers
45 views

Implementation for Class Association Rule mining from transaction database?

It seems to me that all the implementation for Class Association Rules mining is used for relational database. If that's not true, could you please suggest me a tool that can take the transaction ...
0
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0answers
63 views

Not Obtaining Expected Correlations with the IBM Synthetic Data Generator

I`m using IBM synthetic data generator to produce a transactional dataset, but i have some problems with the support of the item. Example: C:\ >"IBM Quest Data Generator.exe" lit -ascii -ntrans 10 ...
0
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0answers
68 views

Association Rules in R

I have a Dataset - with columns like Transaction No , Store No ,Division, ...
0
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0answers
8 views

Can Lift ever be 1 without Supp(A) or Supp(B) being 1

[Data mining newbie warning] Going by the following definition of Lift, $ Lift(A=>B) = Supp(A \cup B) / (Supp(A) * Sup(B)) $ If we ever have Lift as 1, it'll only be possible with Either ...
0
votes
1answer
288 views

arules R - How to ignore unknown item label in appearance list?

I am mining for association rules using arules. I often run new transaction sets with the same code. I dont change the list of restrictions on which items may appear in the rhs and lhs, but ...
0
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0answers
67 views

Association rules vs decision tree vs rule learning

Is it ok to generate a classifier by collecting all association rules so that the conclusion part refers to the target variable? does it perform better than decision tree or rule learning?
0
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0answers
33 views

Using association rules for classification (unusual results in parameter tuning)

I am using association rules for a classification problem. I am trying to predict tags for short pieces of text. What I am trying to do now is tune the confidence and support parameters in my ...
2
votes
2answers
80 views

Maximal & closed frequent — Answer Included

$$My \ \ dataset:$$ $$1: A,B,C,E$$ $$2:A,C,D,E$$ $$3:\ \ \ \ \ B,C,E$$ $$4:A,C,D,E$$ $$5:\ \ \ \ C, D, E$$ $$6: \ \ \ \ A, D,E$$ I want to find out the maximal frequent item sets and the closed ...
1
vote
0answers
73 views

Similarity distance score to remove outliers for survey data

I'm still a beginner at data mining. I'm working on finding the association rules from hypothesis X to conclusion Y. To this end, I've conducted a survey with questions that go something like this: ...
0
votes
0answers
26 views

Are there any associative multi label classification implementations available?

I have seen that it is possible to perform multi label classification using a binary combination of classifiers or reducing a multi label classification to a multi class classification problem by ...
1
vote
0answers
127 views

Papers about quantitative association rules in data mining

I'm writing my diploma thesis about the interaction between warehouse management and data mining (specifically, association rules). I started the topic data mining by considering Boolean association ...
2
votes
1answer
166 views

Market Basket Analysis: comparing rules between two models

Given two independent MBA models 1 and 2 (each model is a set of rules with calcualted support, confidence and lift metrics) that were generated on subsets of large population of transactions, how to ...
2
votes
2answers
126 views

If an association rule has 90% support, how many transactions contain all the items in A?

An association rule has the form $A\Rightarrow C$, where $A$ is the antecedent and $C$ is the consequent. Suppose you have a database of one million transactions. The questions are: If an ...
1
vote
2answers
128 views

How to proceed if a rule-based classification algorithm finds an instance that can be classified two ways?

I am training a rule based algorithm (PRISM or CN.2) with n classes (y_1,y_2,..,y_n). All rules in the training RuleSet are in ...
1
vote
1answer
256 views

Association analysis returns 0 useful rules

Since new to association rules need help for identifying the most frequent extra service ordered together with the products. And to derive the association rules, I have used ...
2
votes
2answers
240 views

Excluding false values with association rule mining in Weka

I am using Weka 3.6 to do Association Rule mining. In our data set, each transaction is a word, and each letter in the word is an item. The rules that we are mining would be in the format of ...
8
votes
1answer
2k views

What is the practical difference between association rules and decision trees in data mining?

Is there a really simple description of the practical differences between these two techniques? Both seem to be used for supervised learning (though association rules can also handle unsupervised). ...
1
vote
1answer
414 views

Is it needed to normalize data before rule model extraction algorithms like ID3?

I will use naive Bayes or decision tree that gives rule model both. Is is necessary to normalize data before working with such algorithms.
1
vote
2answers
591 views

Temporal association rules with arulesSequences with quantities

I am trying to mine product-usage sequences for multiple users of online gaming site. I have found the R package arulesSequences but am not sure how to fit it to my problem. The data format would be ...
4
votes
1answer
93 views

Estimating the influence of different features on the outcome

I been trying, with no luck, to find the correct algorithm for the following 2 scenarios and I can't seem to get it right. First scenario Every day I get data like the following: ...
2
votes
1answer
300 views

Mining association rules on relational data

I have recently started working on my master's thesis, which is a collaboration between my university and an IT company. The problem from the company's point of view is to identify correlations in ...
4
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1answer
3k views

Finding suitable rules for new data using arules

I am using R (and the arules package) to mining transactions for association rules. What I wish to do is construct the rules and then apply them to new data. For example, say I have many rules, one ...