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9 views

Parallel association rule mining

I am following papers about parallel association rule mining, in particular, this paper. I do not understand how conditional FP-Tree is generated in the paper, ...
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8 views

How can the Lift measure be interpreted?

If we have items A and B appearing together and separately and the support, confidence and lift as follows, can we say that: "persons having A will be 1.25 times more likely to have also B than the ...
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1answer
26 views

What are the good study materials on Association Rules?

I am looking to learn Association Rules, from basic level. I was looking for some good web based materials to start with. My objectives in the materials is to: (a) learn the aspect nicely from ...
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20 views

How to test/validate unlabeled data in association rules in R?

I produced association rules by using the arules package (apriori). I'm left with +/- 250 rules. I would like to test/validate the rules that I have, like answering the question: How do I know that ...
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1answer
34 views

Association rules or classifier for product modeling for queries

I have a set of products P {1...n} which are rated on a goodness scale G ={1...100} (G10 is more good than G5). Each product has a set of features F {1....m}, now I want to learn a model for ...
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29 views
2
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2answers
102 views

Best algorithm for association rule mining

I am working on an application where I have to extract or identify association / correlation between different sets of items. An example would be say if a person buys shoes at a store, would he/she ...
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0answers
29 views

Downward closure property proof for Lift and Conviction

For associative rules r1=(A->B) and r2=(C->D) and Lift(r) and Conviction(r) are as defined here [http://michael.hahsler.net/research/association_rules/measures.html]. How does one prove that they do ...
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1answer
81 views

Association rules (market basket analysis) - rules involving the absence of items?

I was wondering if associations rules can include the absence of an item, for example, in this simplified set of transactions: ...
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11 views

Apriori like algorithms

The Apriori algorithm predominantly works by pruning the possible itemsets by using a fixed threshold namely, support threshold(lowerbound). Are there any other metrics which can be used as an ...
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3answers
156 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 ...
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0answers
118 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: ...
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0answers
59 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 ...
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1answer
147 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 ...
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25 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 ...
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0answers
23 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. ...
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0answers
81 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. ...
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0answers
38 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 ...
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0answers
65 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 ...
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0answers
25 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 ...
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26 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
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1answer
75 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
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1answer
89 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
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1answer
149 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 ...
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1answer
27 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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19 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". ...
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53 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
111 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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1answer
425 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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0answers
93 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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2answers
228 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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0answers
77 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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0answers
29 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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0answers
144 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
228 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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2answers
143 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
149 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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1answer
332 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
280 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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2answers
3k 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
523 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
803 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
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1answer
95 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
343 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
4k 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 ...