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Association Rules Error [migrated]

I am running the formula that is given below in R ...
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20 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 ...
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1answer
13 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, ...
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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". ...
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29 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 ...
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0answers
30 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 ...
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52 views

Association Rules in R

I have a Dataset - with columns like Transaction No , Store No ,Division, ...
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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 ...
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1answer
103 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 ...
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37 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?
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21 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 ...
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2answers
62 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 ...
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32 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: ...
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21 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 ...
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96 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 ...
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1answer
111 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 ...
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34 views

Association Rules

I have a big table of data. Some of the columns there are full of data whereas some others are very spare. I want to reveal some patterns such as: when column X has a value then column Y is empty OR ...
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23 views

Identifying Association Rules

I have a big dataset in which most of its columns are full of data, however, some other columns contain a lot of null values. I want to find some sort of association rules that can reveal under which ...
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2answers
102 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 ...
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2answers
88 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 ...
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43 views

Is discretization still the only way to deal with continuous and count variables in data mining association algorithms?

I have recently read a book chapter of data quality in which the author is against turning continuous variables in groups. While I agree with some of his arguments, I was not be able to find a way to ...
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1answer
178 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 ...
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2answers
212 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 ...
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1answer
1k 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). ...
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1answer
238 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.
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2answers
409 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 ...
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1answer
89 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: ...
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1answer
253 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 ...
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1answer
2k 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 ...