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10 views

Algorithms for association rule mining (or alternatives) to “cluster” continuous outputs in supervised settings

I am collaborating with experimentalists who obtained measurements on a continuous scale 0.0 - 1.0, and each sample has ~30 binary features. They basically want to "learn" from this data, for example, ...
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0answers
19 views

Market Basket Analysis(Support & Confidence)

I Have been working on Market Basket Analysis from past one month. I got one problem with support and confidence concept how do we fix the support and confidence values, i.e we need to fix them based ...
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0answers
26 views

Rule based classification

I have dataset with continuous, ordinal & nominal variables features (v1 to vn) and a binary outcome variable (red/green). The task is to identify top N "rules" that influence/indicate the ...
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0answers
13 views

Performance of Decision tree and Association rule mining with increasing size of training data

I planning to do misconfiguration identification using some available dataset. So I have two dataset, one with enough number of observations, say from 1000 to 3000 and another one with less than 50 ...
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0answers
39 views

Calculate Precision and recall in a-priori algorithm

I want to know if there is any technique to calculate the precision and recall in a-priori algorithm. I did search for this but found most of the examples on classification algorithms with formulars ...
2
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1answer
66 views

Evaluating Association Rules Using Kulczynski and Imbalance Ratio

I have a dataset containing information about movies and their genres. From the dataset I have generated association rules from the frequent itemsets that I have mined using the Apriori algorithm. ...
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0answers
7 views

How do we mine associations from sequences?

My data mining problem is a next web page prediction using the existing web data. For that I have a set of frequent sequences which are obtained using cspade algorithm in R. Now I am not sure how to ...
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0answers
16 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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0answers
13 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
38 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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0answers
88 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
37 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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0answers
37 views
3
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2answers
186 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
50 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 ...
2
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1answer
93 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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0answers
20 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 ...
2
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3answers
451 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 ...
2
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0answers
183 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
85 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
248 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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0answers
33 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
29 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
105 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
39 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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1answer
77 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
92 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
180 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
30 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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0answers
22 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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0answers
57 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
146 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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1answer
533 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
115 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
673 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
81 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
32 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
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0answers
169 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
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1answer
267 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
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2answers
161 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
166 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
379 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
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2answers
302 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
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2answers
4k 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
637 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
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2answers
942 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
99 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
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1answer
375 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 ...
5
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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 ...