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1answer
57 views

Market Basket Analysis using Clustering to discover *new* product combinations

I have transaction data from a Quick Service Restaurant (QSR) client. Each record in this data set represents a transaction. My objective is to discover products that are the best candidates to be ...
0
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0answers
10 views

Inverse rule based classification

I have a categorical variable C which can assume 5 discrete states. I also have 3 continuous variable v1, v2, v3 which assumes values in [0-100]. I would like to derive discrete "rules" that associate ...
0
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2answers
52 views

“Controlling” for multiple sequential association rules?

Assume I have data along the following lines A-A-B-C A-A-B-C A-A-B-C Then I test the following sequential association rule: "A-A precedes C", which is true 100% ...
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1answer
8 views

How can I formally describe the count function of the support measure of frequent itemsets

currently composing a lecture on Association Rule Mining, Frequent Item sets. Therefore I need to formally describe the count function of the support measure as occurring int the following forumula : ...
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1answer
50 views

How can I cluster products based on market basket data?

I need to cluster products based on market basket data, i.e. I have a data table with sold products and the respective orders and I want to cluster products so that products within a group are bought ...
0
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1answer
19 views

How is the support calculated using hash trees for Apriori algorithm?

I started studying association rules and specially the Apriori algorithm through this free chapter. I understood most of the points in relation with this algorithm except the one on how to build the ...
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0answers
6 views

Maximal number of possible transactions

Suppose I have a market basket with $10$ transactions and $6$ items. ...
0
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0answers
12 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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0answers
16 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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0answers
44 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. ...
3
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1answer
48 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 ...
-1
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1answer
63 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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0answers
14 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 ...
1
vote
1answer
100 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 ...
1
vote
1answer
65 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 ? ...
1
vote
1answer
25 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
18 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 ...
0
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1answer
31 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
85 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
16 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
42 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
27 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
35 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" ...
0
votes
1answer
44 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
40 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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0answers
35 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 ...
0
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2answers
964 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
19 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
61 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 ...
0
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0answers
48 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 ...
0
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0answers
32 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 ...
1
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0answers
159 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
457 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. ...
1
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0answers
31 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, ...
0
votes
1answer
73 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 ...
0
votes
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
votes
2answers
446 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 ...
2
votes
1answer
121 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: ...
2
votes
3answers
1k 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
331 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
votes
1answer
596 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 ...
1
vote
0answers
93 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. ...
1
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0answers
54 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
votes
1answer
86 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
99 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
258 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
vote
1answer
96 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
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". ...
1
vote
0answers
71 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
195 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 ...