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5 views

Maximal number of possible transactions

Suppose I have a market basket with $10$ transactions and $6$ items. ...
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10 views

What can we conclude from the confidence levels of association rules other than the Boolean: Is frequent?

Say you are applying a sequential pattern mining algorithm to temporal data and your results present two related association rules: {A, B } ==> { C } #support: 51% # confidence: 80% {A, B’ } ==> { C ...
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8 views

Interpretting results in Association - market basket [on hold]

I'm doing a market basket analysis in RapidMiner. The goal is to figure out whether to stop selling a group product "x", there will be drop in sales of other products. The group of product "X" is ...
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10 views

How do I mine text data for a list of “unspecified keywords” from a bunch of documents?

I need analytics on "skills" from a bunch of documents. The straightforward way for me is to first create a dictionary of "skills keywords" and then get descriptive analytics from the documents i.e. ...
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15 views

finding association rules with rhs of length greater than 1 (and lhs size of 1)

I try to find association rules in an item/transaction matrix. typically, I use the arules package in R, Except that it only find rules with a single item on the rhs. I need the opposite, actually. ...
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1answer
43 views

For association rules, does it make sense to plot a learning curve using the lift measure?

As I understand, the learning curve is normally plotted as accuracy vs. sample size. However, accuracy takes true negatives into account. When doing association rule mining, true negatives aren't very ...
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1answer
54 views

What test should I run to show if there is a correlation between two binary variables?

I have two variable religion and healthy. The answers are coded as yes or no. I want to see if health is related to religion.
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12 views

Finding correlations between large numbers of features

I have data which is composed of several thousand continuous features. What sorts of ML or statistical algorithms can efficiently find the rules for which features are most correlated with other ...
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1answer
65 views

Apriori versus Jaccard Coeff for recommender-system

I developed a market basket program for a retailer. I used the pymining library association rules function. I assume this uses the Apriori algorithm. I got 340,000 rules for an input of 17,000 ...
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1answer
49 views

More details on weka association rules

What are those values right to the itemsets (for example [A=1]:18) If they are absolute support as I thought, why are they different for same items in different rules ? ...
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1answer
19 views

Cluster analysis? Factor analysis? Classification? What's the procedure to group students into profiles based on elective course enrollments?

I am trying to find the right statistical procedure to use to analyze a set of course enrollment data for students. The enrollment data is binary (0/1) for a large number of a group of students. I ...
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0answers
11 views

Extact keywords from texts in a corpus for association rule mining

This is my setting, I want to do association rules mining from a corpus. I want to find rules of the form: If A THEN B Where A and B are words. I am using the APRIORI algorithm for computing the ...
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1answer
28 views

Association rules and itemsets

Reading about association rules mining made me somehow confused. I am wondering if this is possible that in a transaction, an item occurs more than once? ...
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0answers
66 views

Using Association Rules found using arules package in R

I have used the arules package and used the Apriori algorithm to find numerous rules for my dataset. However, I struggle to put the rules use. I stumbled upon this post: Finding suitable rules for ...
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0answers
13 views

Extracting document's keyword after dimensionality reduction

Let's say I have a word document matrix and I applied SVD to this matrix (LSA), and now I have the representation of this matrix in a reduced dimensional space. How could I use this for extracting ...
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0answers
31 views

Using clustering for attribute discretization

I have a dataset where I need to explore using unsupervised technics (clustering and association rules). What are the best strategies to discretize the numeric attributes? Also, does this (attribute ...
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0answers
18 views

Association Rules - How to Get Data in the Correct Format?

I'm trying to use market basket analysis through the package 'arules' to look at associations. My data set as I receive and import it is in the 'vertical' format: ...
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0answers
28 views

Calculating the significance of lift

The lift (in data mining, especially for sequential association rules), is calculated as: "by dividing the confidence by the unconditional probability of the consequent" ...
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1answer
41 views

Difference between modelling and testing association

I have data set with binary outcome, with 5 continuous covariates and 4 discrete covariates. I am little confused as to how I test for association, for the discrete covariates, I used a chi sq test, ...
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0answers
32 views

Statistical validity of association rules with low support

We have data sample with 10,000 observations. We are using association analysis to find segments with low support (< 4%) and high(er) confidence. Our rules are always in such way that on the right ...
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31 views

Market Basket Analysis - Variables

I got a database with the names of products in the columns and the transactions in rows. This is a binary database.With 1 if the item is in the transaction and 0 if it is not. I would like to know ...
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2answers
425 views

What is the difference between Apriori and Eclat algorithms?

What is the difference between Apriori and Eclat algorithms in association rule mining?
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0answers
18 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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51 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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43 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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27 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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100 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 ...
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1answer
317 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
10 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
29 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
16 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
67 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
159 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 ...
0
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1answer
41 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 ...
3
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2answers
372 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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1answer
111 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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3answers
813 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
294 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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1answer
485 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
53 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
50 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
83 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
95 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
237 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 ...
1
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1answer
60 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
23 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
68 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
171 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
840 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
149 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?